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PERSPECTIVES OF IMPLEMENTING AUTOMATED AND ROBOTICS-BASED TECHNIQUES
IN ROAD INFRASTRUCTURE CONSTRUCTION AND MAINTENANCE OPERATIONS


            B. PSARIANOS                          M. KONTARATOS           C. LIAPAKIS
            Nat’l Techn. Univ. of Athens          TRENDS                  GEOTECH
            Dept. of Rural & Surveying Engr.      9 Kondylaki Str.        10 Travladoni
            9 Hiroon Polytechniou Str.            11141 Athens            15773 Athens
            15780 Athens                          Greece                  Greece
            Greece

            M. LENZ                               T. RUPP
            WIRTGEN GmbH                          Forschungszentrum Informatik
            Hohner Str. 2                         Haid-und-Neu-Str. 10-14
            D-53578 Windhagen                     D-76131 Karlsruhe
            Germany                               Germany



1.   Introduction

In EU the road infrastructure services 90% of the movements of people and goods, whereas the transport
services account for ca 5.6 million jobs and contribute to 7-8% of GNP. Huge investments are necessary every
year in EU to cope with the three major problems marking the present road network in EU: aging; increased
traffic demand; and increased truck traffic. For example in some European countries maintenance costs for
motorways amount to about 30000 ECU/Km and for other major rural roads to about 10000 ECU/km each
year.

To handle these aggravating the fiscal budgets roadway investments new innovative techniques are sought
which will reduce the overall cost of Road Infrastructure Construction and Maintenance (RICM) operations
without at the same time adversely affecting the quality and performance of the road network. In this context
European Commission, Directorate General VII, Transport has initiated and financed a one year research
project entitled Automated and Robotics-based Techniques (ART)-New Solutions for Road Construction
and Maintenance, to address the issue. Ten partners from five EU countries have participated in the project
and explored the potential of introducing ART for construction and maintenance purposes for rural and urban
roads.

Based on the analysis carried out in this project the implementation features of ART in specific RICM
operations selected for European conditions are presented in this chapter.

2.   Selected Operations

Operations related to road construction and maintenance activities run into hundreds. Therefore starting
initially from a long list of candidate operations for investigating their possibility for consideration in an ART
implementation program a shorter list of operations came up finally. These operations include nine operations
for urban, thirteen for rural roads and three operations for bridge rehabilitation (urban and rural), altogether 25
operations. The inspection aspect of maintenance operations was excluded from the assessment. Frequency of
the operation and corresponding budget allocation have been the primer criteria for entering the list. Paving
ranked at the top of the list.

For each operation of the short list a full description was given of the included tasks, their performance and
qualitative requirements, needed operator’s expertise, the necessary task-oriented machines and working
conditions as well as the individual task evolvement within the operation. The description of the operations
relied upon a variety of data delivered mainly by two road administrators and a contractor, participating as
partners in the project, as well as by other organizations and contractors.




                                                                                                                 1
For each task of an operation then the suitability of adapting an automation or robotics technology was
identified based on the following criteria:
-    Task exhibiting a hazard or danger to working personnel;
-    Task involving repetitive or tedious work;
-    Task being costly;
-    Expressed necessity for higher performance rate of task;
-    Achievement of higher quality standards of task.
Table 1 comprises for example the suitability assessment data associated with each task involved in the paving
operation.



                                                       Task Characteristics

            Tasks for
            Paving         Hazardous   Repetitive   Difficult or   Simultaneous   Coordina-   Suitable for
            Operation      or          or Tedious   High           Task           ted Task    ART
                           Dangerous                Expertise



            Sweeping           No          Yes          No             Yes            No        Yes (+)

            Emulsion
                              Yes          Yes          No             Yes            No        Yes (+)
            Spraying

            Material
                               No          Yes          No             No             No        Yes (0)
            Mixing

            Material
            Loading and        No          Yes          No             No             No        Yes (0)
            Transport

            Paver
                               No          Yes          No             Yes           Yes        Yes (+)
            Feeding

            Truck
            Movement
                               No          Yes          No             No             No        Yes (0)
            to Mixing
            Plant

            Placing
                              Yes          Yes          Yes            Yes           Yes        Yes (+)
            Material

            Stopping the
                               No          Yes          No             No             No        Yes (+)
            Paver

            Compac-
                               No          Yes          No             Yes            No        Yes (+)
            tion


          Legend: (+) = high priority, (0)= low priority

Table 1: Suitability of Implementing ART for Tasks involved in the Paving Operation

3.   Technological Assessment

Using ART in conventionally carried out RICM operations means either a conventional machine is
technologically upgraded, for example by building in some sensor systems, or a totally new machine should be
developed to cope with the new set ART requirements. To decide upon this a second more detailed assessment
was carried out of the tasks included in the selected operations and identified as candidates for deploying ART
by taking into consideration the resulting beneficial effects ART would impose to the operation, i.e.
diminishing idle times, occupying less space, demanding less personnel etc. This second sorting of tasks pin-
pointed the specific tasks or task activities, which should be technologically addressed in order to describe the
automation or robotics related technological features needed for a corresponding preprototype development.
                                                                                                               2
For the specified task or tasks of each operation a Technical Scenario was established, showing the way the
task or tasks would be carried out by using ART. Based on this scenario the necessary technological
components for implementing ART could be identified and assessed as for their technological status. These
components involve the following items:
-   Kinematics;
-   Gripper System Tools;
-   Drive System;
-   Undercarriage;
-   Sensors;
-   Control System;
-   Man-Machine Interface;
-   Information Flow.
A basic assumption in addressing these components was that for each machine at least one human operator
would be involved irrespective of the automation level the investigated task or combined tasks or activities
were conceived to achieve. Each of the above technological components could be assigned to one of the three
classes “research”, “development”, and “product”. “Product” refers to systems or system components which
have attained a prototype status and are or can be readily available i.e. adapted, to the manufacturing industry
for building the prototype.

Components were assigned the characterization “development” in case some further work is necessary to
existing systems or system components to fulfil the set requirements for a RICM operation.

Finally under the term “research” were all systems or system components included, for which an intensive
research work is further needed in order for the component to reach the “product” stage.

Assignment of the components needed to realize the technical scenario to one of the above three technological
feasibility classes leads to the definition of the time perspective of deploying ART, i.e. short-, medium- and
long-range, for each operation can be directly deducted.

Table 2 illustrates the technological assessment for the paving operation based on the corresponding technical
scenario, focusing on the main tasks of laying the asphalt material by the paving machine (road paver).

                                                                                              Development
                                                                                   Research




                                                                                                            Product
              Component                          Description



            Kinematics        Kinematics of the conventional screed
            Gripper System    None
            Tools             None
            Drive             Electrical drives
                              Hydraulic drives
            Power Supply      Diesel-electric (low emission)
                              Diesel-hydraulic (low emission)
            Undercarriage     Standard
            Sensor            Navigation System
            Technology
            Control           Automatic motion: according to the navigation data
                              Semi-automatic motion: kinematics, sensors, MMI
                              Communication: wireless communication
                              Quality Control of the process
            Man-Machine       Communication: display, control panel
            Interface         Interaction: steering wheel, joy-stick
            Information       Wireless Communication
            Flow              Management System
                              Simulation System
                              Common Data Base
          Legend:     Component exists as product and can be directly used in the machine

                                                                                                                      3
MMI = Man-Machine Interface
Table 2: Technological Status of System Components needed for the Paving Operation (paver) according
        to the formulated Technical Scenario

4.   ART Implementation Cost

Development cost of innovative ideas has always been a decisive factor. Therefore in the ART-Project the
implementation average cost of the technical scenarios of the selected operations was estimated. This cost
estimation reflects solely the man-power needed to apply a product, to develop a system or its components or
to conduct the respective research and development summed up for all selected 25 RICM operations.

To estimate the ART implementation cost the following formulae were used

                           n
aver .(cos t ) = cos t •                                       (1)
                           N

where
aver. (cost)= average cost (weighted) for implementing component [kECU],
cost = actual development cost [kECU],
n = number of times component appears in the technical scenarios,
N= 25 (total number of operations considered),
and

total (cos t ) = ∑ aver .(cos t )                              (2)

Both formulae were applied for the extremes cost values, minimum and maximum estimated cost, and
separately for the development classes “product”, “development”, and “research”.

Table 3 shows the cost estimation procedure for the case of kinematics.

Having determined the development cost of every system component in order to implement the technical
scenario an overall investment funds needed to implement ART in RICM operations in the short-, medium-,
and long-range periods can be predicted. The results are shown in Table 4.

Figures 1, 2 and 3 illustrate the distribution cost of each technological component needed to be invested in
order to implement ART in RICM operations in the EU on a short-, medium-, and long-range basis respectively




                               Short-Range Development Cost
                                                                          Kinematics
                                         0%                               Power Supply
                                    1%        7% 2% 4%
                 22%                                                      Contr ol
                                                          0%
                                                         0%               Gripper Systems/Tools
                                                                          Unde rcarriage
                                                                          Man-Machine Interface
                                                                          Drive Te chnology
                                          64%                             Sensor Technology
                                                                          Information Flow




Figure 1: Distribution Cost of Short-Range Development Components of ART


                                                                                                          4
Cost Estimation Steps                    Product                 Development                   Research

                                           Min                 Max     Min                Max    Min              Max

            Case 1: 6-axes
                                                       4x                         2x                         0x
            Kinematics

            Case 2: Operation
                                                       2x                         9x                         0x
            depending Kinematics

            No of Operations or
                                                       6x                         11 x                       0x
            Machines

            Single
                                                 0             50            0           200           0              0
            Cost
                             Case 1




            Average
                                                 0             6.9           0           82.8          0              0
            Cost

            Single
                                                 0             100         50            300           0              0
            Cost
                             Case 2




            Average
                                                 0             6.9         15.5          113.8         0              0
            cost

            Total Cost                           0             13.8        15.5          196.6         0              0


          Table 3: Cost Estimation of the Kinematics Component

5.   The Paving Operation

As stressed above the paving operation ranked as the operation with the highest priority for adopting ART.

ART machines could contribute to alleviate the shortcomings that this operation suffers. First, the required high
accuracy of height determination is satisfied by placing a stringline along the roadbed. This construction hinder
the free movements of the machines in the work area, producing delays and difficulties in managing the vehicle
movements and the material flow. Second, the structural characteristics of the




               Medium-Range Development Cost
                                                                                                  Kinematics
                                                      1%                                          Power Supply
                                                                1%
                                            2%                                                    Control
                                      9%                 2%           0%                          Gripper Systems/Tools
            13%
                                                                                                  Undercarriage
                                                                                                  Man-Machine Interface
                                                                                                  Drive Technology
                                                                                    44%           Sensor Technology
                                                                                                  Information Flow
              28%




Figure 2: Distribution Cost of Medium-Range Development Components of ART

                                                                                                                          5
Long-Range Development Cost

                                           0%                                  Kinematics
                                   1% 2%     0%
                   19%                         1%                              Power Supply
                                                                               Control
         9%                                                                    Gripper Systems/Tools
                                                                 42%
                                                                               Undercarriage
                                                                               Man-Machine Interface
                                                                               Drive Technology
                    26%                                                        Sensor Technology
                                                                               Information Flow


Figure 3: Distribution Cost of Long-Range Development Components of ART



As it can be deducted from Figures 1 to 3 the development cost for the short-range period will concentrate in
applying sensor technology while the medium- and long-range development cost will be expended to the man-
machine interface systems .



               Implementation Period              Implementation Cost [kECU]

                     Short-range                           279.0 .. 680.0

                    Medium-range                         1584.1 .. 9095.6

                     Long-range                          2290.9 .. 12699.0

Table 4: Investment Funds needed to Implement ART in high ranked RICM operation in the EU

pavement are deteriorated from stops of feeding the paver with material, as well as by insufficient compacting
due to poor control of the compaction levels. Finally, the operation is slow due to idle times, to extensive
surveying work, and to performance controlling work.

Thus, the main objectives of introducing ART techniques in alsphalt paving operation aim at:

- Releasing the operation for surveying infrastructure that blockade the vehicles movements.
- Improving the performance quality.
- Reducing the operation time.
For this specific operation a design scheme was developed, for which a description of the various
technological aspects is given, as determined in the technical scenario for the automated paver.

The functional modules needed for an automated the paver sum up to twelve and are illustrated in Figure 4.
These twelve modules operate in an autonomous mode. Initial values are fed to the planner, which is
controlling the paving individual tasks by linking the input information to the correct module. The positioning
and navigation of the paver is performed in the rural area through a GPS (Global Positioning System) and
especially a technique called Real Time Kinematics (RTK) with On the Fly (OTF) capabilities, a system that
utilizes the position of satellites to calculate the position in space of an antenna receiving signals from a
constellation of satellites. Since the road pavement surface is a three-dimensional one, known in differential
geometry as ruled surface, a three-GPS-antenna concept is proposed to be built on the paver, which will
determine not only the position in space of the paver, and especially its screed, but also the rotating angles of
the machine in reference to its longitudinal, radial and vertical (normal) axes (roll, pitch and lead angles).

                                                                                                               6
Expected construction accuracy of the pavement surface is better than 0.5 cm horizontally and 1 cm
vertically, which fully comply with required construction standards of the road pavement surface.




                                                                                                     Compaction by
 Conveyance of



                            Reception of Asphalt                              Screed Heating




                                                                                                     Pressure Bars
                                                     Paving START/STOP
 Asphalt




                                 Bus                                                       Bus
                                                           Planner




                                                                                                     Compaction by
 Asphalt Spreading




                                                                                                     Vibrators
                            Working         Paving      Leveling and     Direction      Compaction
                            Width           Depth       Profile          and Speed      by Tamper




Figure 4: Block Diagram of Functional Modules for the Automated Road Paver

Figure 5 shows for example the concept of the first functional module, the reception of asphalt. According to
this concept two sensors S1 and S2 are provided at the front of the paver, which aim at sweeping the rear of the
feeding truck and at detecting the position of the truck in relation to the paver. A force sensor S3 is further
provided on the push roller to determine the force required for pushing the truck and its position in relation to
the road paver. The sonic sensor S4 serves to pick up the asphalt level in the material hopper. Two further
sensors S5 and S6 are provided on the hopper sides to pick up the positions of the hopper sides when folded
out. Two actuators A1 and A2 for the electrohydraulic adjustment serve to fold the hopper sides in and out.
Two displays D1 and D2 on the left and right side of the road paver inform the operator of the machine on:
(1)                  forwards motion,
(2)                  reverse motion,
(3)                  stop,
(4)                  releasing brake,
(5)                  dumping,
(6)                  dumping stop.
A computer module controls the reception of the asphalt, whereas the planner regulates the asphalt reception at
a high level according to a block diagram of sensors, actuators, displays and a selector switch corresponding to
the above given task description of Figure 5.

Similar concept descriptions are existing for the remaining eleven functional modules.




                                                                                                                     7
Criteria                                    Description                                    Benefit
Working time duration   Time operation is expected to fall down by 20%. The simultaneous              ++
                        construction of two layers contributes considerably to this outcome.
Idle time               Idle time is reduced, since the use of feeder ensures continuous material     +
                        flow. No “stop & go” process takes place anymore.
Quality                 The elimination of “stops’ during the material placing improves the           +
                        quality in terms of structural characteristics. They also are affected
                        positively by controlling in place the compaction levels, which optimizes
                        the rolling task.
                        The automatic navigation enhances the result in terms of final geometric
                        shaping.
Total operation cost    Total cost is expected to decrease due to time and labor reductions.           +
Machines                (Due to better performance more trucks are in the worksite                   (-)/=
                        simultaneously).
Workers                 Aiding personnel on the paver and on the roadway for machine guiding          ++
                        are not needed anymore.
Space                   The occupied roadway space is reduced, since no stringline is required        +
                        for height determination. Also, there are no working personnel moving
                        on the roadway, so the relevant safety buffer space is not occupied.
Safety                  Safety is significantly improved, since no workers are moving on the          ++
                        roadway.

Legend: + : lightly beneficial, ++ : enough beneficial, (-)/= : same as before

     Table 5: Expected Beneficial Features of the Automated Road Paver Prototype




Figure 5: Paving Task “Reception of Asphalt” Implementing ART


In Table 5 the beneficial features of the new automated road paver are illustrated, which are expected to result
when prototypes will be built and introduced in road construction and maintenance.


6.    Conclusion
The European Project ART – Automated and Robotics-based Techniques investigated the feasibility of
implementing automation and robotics technology for 25 selected Road Infrastructure Construction and
Maintenance operations. There are two main recipients of this information. The first one is the manufacturing
industry, which can directly assess the results of the ART project and take the appropriate decisions on its
future development plans. The second recipient is the transport policy makers in Europe, which can identify the
benefits of implementing Automation and Robotics Technology for Road Construction and Maintenance
activities in the European Continent and make the necessary investments to get the best of the technology on
the road the as far as possible.
                                                                                                               8
Acknowledgement

This work has been supported by the European Commission, Directorate General VII, Transport, under the
Transport RTD Program of the 4th Framework Program.




                                              REFERENCES

1.   “Selection of RICM Operations”, ART-Project, 1st Internal Report, EC/DG VII, 11 July 1997.

2.   “New Approach to RICM: Introduction of Automated and Robotics-based Technologies”, ART-Project, 2nd
     Internal Report, EC/DG VII, July 1998.




                                                                                                         9

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Perspectives of Implementing Automated and Robotics-based Techniques in Road Construction

  • 1. PERSPECTIVES OF IMPLEMENTING AUTOMATED AND ROBOTICS-BASED TECHNIQUES IN ROAD INFRASTRUCTURE CONSTRUCTION AND MAINTENANCE OPERATIONS B. PSARIANOS M. KONTARATOS C. LIAPAKIS Nat’l Techn. Univ. of Athens TRENDS GEOTECH Dept. of Rural & Surveying Engr. 9 Kondylaki Str. 10 Travladoni 9 Hiroon Polytechniou Str. 11141 Athens 15773 Athens 15780 Athens Greece Greece Greece M. LENZ T. RUPP WIRTGEN GmbH Forschungszentrum Informatik Hohner Str. 2 Haid-und-Neu-Str. 10-14 D-53578 Windhagen D-76131 Karlsruhe Germany Germany 1. Introduction In EU the road infrastructure services 90% of the movements of people and goods, whereas the transport services account for ca 5.6 million jobs and contribute to 7-8% of GNP. Huge investments are necessary every year in EU to cope with the three major problems marking the present road network in EU: aging; increased traffic demand; and increased truck traffic. For example in some European countries maintenance costs for motorways amount to about 30000 ECU/Km and for other major rural roads to about 10000 ECU/km each year. To handle these aggravating the fiscal budgets roadway investments new innovative techniques are sought which will reduce the overall cost of Road Infrastructure Construction and Maintenance (RICM) operations without at the same time adversely affecting the quality and performance of the road network. In this context European Commission, Directorate General VII, Transport has initiated and financed a one year research project entitled Automated and Robotics-based Techniques (ART)-New Solutions for Road Construction and Maintenance, to address the issue. Ten partners from five EU countries have participated in the project and explored the potential of introducing ART for construction and maintenance purposes for rural and urban roads. Based on the analysis carried out in this project the implementation features of ART in specific RICM operations selected for European conditions are presented in this chapter. 2. Selected Operations Operations related to road construction and maintenance activities run into hundreds. Therefore starting initially from a long list of candidate operations for investigating their possibility for consideration in an ART implementation program a shorter list of operations came up finally. These operations include nine operations for urban, thirteen for rural roads and three operations for bridge rehabilitation (urban and rural), altogether 25 operations. The inspection aspect of maintenance operations was excluded from the assessment. Frequency of the operation and corresponding budget allocation have been the primer criteria for entering the list. Paving ranked at the top of the list. For each operation of the short list a full description was given of the included tasks, their performance and qualitative requirements, needed operator’s expertise, the necessary task-oriented machines and working conditions as well as the individual task evolvement within the operation. The description of the operations relied upon a variety of data delivered mainly by two road administrators and a contractor, participating as partners in the project, as well as by other organizations and contractors. 1
  • 2. For each task of an operation then the suitability of adapting an automation or robotics technology was identified based on the following criteria: - Task exhibiting a hazard or danger to working personnel; - Task involving repetitive or tedious work; - Task being costly; - Expressed necessity for higher performance rate of task; - Achievement of higher quality standards of task. Table 1 comprises for example the suitability assessment data associated with each task involved in the paving operation. Task Characteristics Tasks for Paving Hazardous Repetitive Difficult or Simultaneous Coordina- Suitable for Operation or or Tedious High Task ted Task ART Dangerous Expertise Sweeping No Yes No Yes No Yes (+) Emulsion Yes Yes No Yes No Yes (+) Spraying Material No Yes No No No Yes (0) Mixing Material Loading and No Yes No No No Yes (0) Transport Paver No Yes No Yes Yes Yes (+) Feeding Truck Movement No Yes No No No Yes (0) to Mixing Plant Placing Yes Yes Yes Yes Yes Yes (+) Material Stopping the No Yes No No No Yes (+) Paver Compac- No Yes No Yes No Yes (+) tion Legend: (+) = high priority, (0)= low priority Table 1: Suitability of Implementing ART for Tasks involved in the Paving Operation 3. Technological Assessment Using ART in conventionally carried out RICM operations means either a conventional machine is technologically upgraded, for example by building in some sensor systems, or a totally new machine should be developed to cope with the new set ART requirements. To decide upon this a second more detailed assessment was carried out of the tasks included in the selected operations and identified as candidates for deploying ART by taking into consideration the resulting beneficial effects ART would impose to the operation, i.e. diminishing idle times, occupying less space, demanding less personnel etc. This second sorting of tasks pin- pointed the specific tasks or task activities, which should be technologically addressed in order to describe the automation or robotics related technological features needed for a corresponding preprototype development. 2
  • 3. For the specified task or tasks of each operation a Technical Scenario was established, showing the way the task or tasks would be carried out by using ART. Based on this scenario the necessary technological components for implementing ART could be identified and assessed as for their technological status. These components involve the following items: - Kinematics; - Gripper System Tools; - Drive System; - Undercarriage; - Sensors; - Control System; - Man-Machine Interface; - Information Flow. A basic assumption in addressing these components was that for each machine at least one human operator would be involved irrespective of the automation level the investigated task or combined tasks or activities were conceived to achieve. Each of the above technological components could be assigned to one of the three classes “research”, “development”, and “product”. “Product” refers to systems or system components which have attained a prototype status and are or can be readily available i.e. adapted, to the manufacturing industry for building the prototype. Components were assigned the characterization “development” in case some further work is necessary to existing systems or system components to fulfil the set requirements for a RICM operation. Finally under the term “research” were all systems or system components included, for which an intensive research work is further needed in order for the component to reach the “product” stage. Assignment of the components needed to realize the technical scenario to one of the above three technological feasibility classes leads to the definition of the time perspective of deploying ART, i.e. short-, medium- and long-range, for each operation can be directly deducted. Table 2 illustrates the technological assessment for the paving operation based on the corresponding technical scenario, focusing on the main tasks of laying the asphalt material by the paving machine (road paver). Development Research Product Component Description Kinematics Kinematics of the conventional screed Gripper System None Tools None Drive Electrical drives Hydraulic drives Power Supply Diesel-electric (low emission) Diesel-hydraulic (low emission) Undercarriage Standard Sensor Navigation System Technology Control Automatic motion: according to the navigation data Semi-automatic motion: kinematics, sensors, MMI Communication: wireless communication Quality Control of the process Man-Machine Communication: display, control panel Interface Interaction: steering wheel, joy-stick Information Wireless Communication Flow Management System Simulation System Common Data Base Legend: Component exists as product and can be directly used in the machine 3
  • 4. MMI = Man-Machine Interface Table 2: Technological Status of System Components needed for the Paving Operation (paver) according to the formulated Technical Scenario 4. ART Implementation Cost Development cost of innovative ideas has always been a decisive factor. Therefore in the ART-Project the implementation average cost of the technical scenarios of the selected operations was estimated. This cost estimation reflects solely the man-power needed to apply a product, to develop a system or its components or to conduct the respective research and development summed up for all selected 25 RICM operations. To estimate the ART implementation cost the following formulae were used n aver .(cos t ) = cos t • (1) N where aver. (cost)= average cost (weighted) for implementing component [kECU], cost = actual development cost [kECU], n = number of times component appears in the technical scenarios, N= 25 (total number of operations considered), and total (cos t ) = ∑ aver .(cos t ) (2) Both formulae were applied for the extremes cost values, minimum and maximum estimated cost, and separately for the development classes “product”, “development”, and “research”. Table 3 shows the cost estimation procedure for the case of kinematics. Having determined the development cost of every system component in order to implement the technical scenario an overall investment funds needed to implement ART in RICM operations in the short-, medium-, and long-range periods can be predicted. The results are shown in Table 4. Figures 1, 2 and 3 illustrate the distribution cost of each technological component needed to be invested in order to implement ART in RICM operations in the EU on a short-, medium-, and long-range basis respectively Short-Range Development Cost Kinematics 0% Power Supply 1% 7% 2% 4% 22% Contr ol 0% 0% Gripper Systems/Tools Unde rcarriage Man-Machine Interface Drive Te chnology 64% Sensor Technology Information Flow Figure 1: Distribution Cost of Short-Range Development Components of ART 4
  • 5. Cost Estimation Steps Product Development Research Min Max Min Max Min Max Case 1: 6-axes 4x 2x 0x Kinematics Case 2: Operation 2x 9x 0x depending Kinematics No of Operations or 6x 11 x 0x Machines Single 0 50 0 200 0 0 Cost Case 1 Average 0 6.9 0 82.8 0 0 Cost Single 0 100 50 300 0 0 Cost Case 2 Average 0 6.9 15.5 113.8 0 0 cost Total Cost 0 13.8 15.5 196.6 0 0 Table 3: Cost Estimation of the Kinematics Component 5. The Paving Operation As stressed above the paving operation ranked as the operation with the highest priority for adopting ART. ART machines could contribute to alleviate the shortcomings that this operation suffers. First, the required high accuracy of height determination is satisfied by placing a stringline along the roadbed. This construction hinder the free movements of the machines in the work area, producing delays and difficulties in managing the vehicle movements and the material flow. Second, the structural characteristics of the Medium-Range Development Cost Kinematics 1% Power Supply 1% 2% Control 9% 2% 0% Gripper Systems/Tools 13% Undercarriage Man-Machine Interface Drive Technology 44% Sensor Technology Information Flow 28% Figure 2: Distribution Cost of Medium-Range Development Components of ART 5
  • 6. Long-Range Development Cost 0% Kinematics 1% 2% 0% 19% 1% Power Supply Control 9% Gripper Systems/Tools 42% Undercarriage Man-Machine Interface Drive Technology 26% Sensor Technology Information Flow Figure 3: Distribution Cost of Long-Range Development Components of ART As it can be deducted from Figures 1 to 3 the development cost for the short-range period will concentrate in applying sensor technology while the medium- and long-range development cost will be expended to the man- machine interface systems . Implementation Period Implementation Cost [kECU] Short-range 279.0 .. 680.0 Medium-range 1584.1 .. 9095.6 Long-range 2290.9 .. 12699.0 Table 4: Investment Funds needed to Implement ART in high ranked RICM operation in the EU pavement are deteriorated from stops of feeding the paver with material, as well as by insufficient compacting due to poor control of the compaction levels. Finally, the operation is slow due to idle times, to extensive surveying work, and to performance controlling work. Thus, the main objectives of introducing ART techniques in alsphalt paving operation aim at: - Releasing the operation for surveying infrastructure that blockade the vehicles movements. - Improving the performance quality. - Reducing the operation time. For this specific operation a design scheme was developed, for which a description of the various technological aspects is given, as determined in the technical scenario for the automated paver. The functional modules needed for an automated the paver sum up to twelve and are illustrated in Figure 4. These twelve modules operate in an autonomous mode. Initial values are fed to the planner, which is controlling the paving individual tasks by linking the input information to the correct module. The positioning and navigation of the paver is performed in the rural area through a GPS (Global Positioning System) and especially a technique called Real Time Kinematics (RTK) with On the Fly (OTF) capabilities, a system that utilizes the position of satellites to calculate the position in space of an antenna receiving signals from a constellation of satellites. Since the road pavement surface is a three-dimensional one, known in differential geometry as ruled surface, a three-GPS-antenna concept is proposed to be built on the paver, which will determine not only the position in space of the paver, and especially its screed, but also the rotating angles of the machine in reference to its longitudinal, radial and vertical (normal) axes (roll, pitch and lead angles). 6
  • 7. Expected construction accuracy of the pavement surface is better than 0.5 cm horizontally and 1 cm vertically, which fully comply with required construction standards of the road pavement surface. Compaction by Conveyance of Reception of Asphalt Screed Heating Pressure Bars Paving START/STOP Asphalt Bus Bus Planner Compaction by Asphalt Spreading Vibrators Working Paving Leveling and Direction Compaction Width Depth Profile and Speed by Tamper Figure 4: Block Diagram of Functional Modules for the Automated Road Paver Figure 5 shows for example the concept of the first functional module, the reception of asphalt. According to this concept two sensors S1 and S2 are provided at the front of the paver, which aim at sweeping the rear of the feeding truck and at detecting the position of the truck in relation to the paver. A force sensor S3 is further provided on the push roller to determine the force required for pushing the truck and its position in relation to the road paver. The sonic sensor S4 serves to pick up the asphalt level in the material hopper. Two further sensors S5 and S6 are provided on the hopper sides to pick up the positions of the hopper sides when folded out. Two actuators A1 and A2 for the electrohydraulic adjustment serve to fold the hopper sides in and out. Two displays D1 and D2 on the left and right side of the road paver inform the operator of the machine on: (1) forwards motion, (2) reverse motion, (3) stop, (4) releasing brake, (5) dumping, (6) dumping stop. A computer module controls the reception of the asphalt, whereas the planner regulates the asphalt reception at a high level according to a block diagram of sensors, actuators, displays and a selector switch corresponding to the above given task description of Figure 5. Similar concept descriptions are existing for the remaining eleven functional modules. 7
  • 8. Criteria Description Benefit Working time duration Time operation is expected to fall down by 20%. The simultaneous ++ construction of two layers contributes considerably to this outcome. Idle time Idle time is reduced, since the use of feeder ensures continuous material + flow. No “stop & go” process takes place anymore. Quality The elimination of “stops’ during the material placing improves the + quality in terms of structural characteristics. They also are affected positively by controlling in place the compaction levels, which optimizes the rolling task. The automatic navigation enhances the result in terms of final geometric shaping. Total operation cost Total cost is expected to decrease due to time and labor reductions. + Machines (Due to better performance more trucks are in the worksite (-)/= simultaneously). Workers Aiding personnel on the paver and on the roadway for machine guiding ++ are not needed anymore. Space The occupied roadway space is reduced, since no stringline is required + for height determination. Also, there are no working personnel moving on the roadway, so the relevant safety buffer space is not occupied. Safety Safety is significantly improved, since no workers are moving on the ++ roadway. Legend: + : lightly beneficial, ++ : enough beneficial, (-)/= : same as before Table 5: Expected Beneficial Features of the Automated Road Paver Prototype Figure 5: Paving Task “Reception of Asphalt” Implementing ART In Table 5 the beneficial features of the new automated road paver are illustrated, which are expected to result when prototypes will be built and introduced in road construction and maintenance. 6. Conclusion The European Project ART – Automated and Robotics-based Techniques investigated the feasibility of implementing automation and robotics technology for 25 selected Road Infrastructure Construction and Maintenance operations. There are two main recipients of this information. The first one is the manufacturing industry, which can directly assess the results of the ART project and take the appropriate decisions on its future development plans. The second recipient is the transport policy makers in Europe, which can identify the benefits of implementing Automation and Robotics Technology for Road Construction and Maintenance activities in the European Continent and make the necessary investments to get the best of the technology on the road the as far as possible. 8
  • 9. Acknowledgement This work has been supported by the European Commission, Directorate General VII, Transport, under the Transport RTD Program of the 4th Framework Program. REFERENCES 1. “Selection of RICM Operations”, ART-Project, 1st Internal Report, EC/DG VII, 11 July 1997. 2. “New Approach to RICM: Introduction of Automated and Robotics-based Technologies”, ART-Project, 2nd Internal Report, EC/DG VII, July 1998. 9