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Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.91- 93
ISSN: 2278-2400
91
Deployment of Intelligent Transport Systems
Based on User Mobility to be Endowed in Smart
Transit Review
P.A.Pragasa Mary1
, D.Pugazhenthi2
1
Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India.
2
Assistant Professor, Quaid-E-Millath Govt College for Women (A) Anna Salai ,Chennai, Tamilnadu, India.
Email: pragasamary76@gmail.com, pugazh006@gmail.com
Abstract—The emerging increase in vehicles and very high
traffic, demands the need for improved Intelligent Transport
Systems (ITS). The available ITSs do not meet all the
requirements of the present day situation in providing
safetravels and avoidance of congestionin spite of its
limitations on road. Intelligent Transport Systemsrequiremore
research and implementation of better solutions on the traffic
network with increased mobility and more rapid acquisition of
data by sense network technology. In this paper a review is
made on the present ITS where research is required so that
improvement in the course of implementing reality mining can
enhance the behavior of ITS. This will breed a forward leap in
the improvement of safety and convenience of personal and
commercial travel and in turn guarantee an ultimate drop in
fatality in the society.
Keywords—ITS, TMC, Reality Mining, user-place data.
I. INTRODUCTION
When the first wheel was put on the first cart traffic became
a part of man’s life [1]. The mere fact that traffic is now part
of man leaves him with no choice but to better his life with it
in play. The fundamental purpose for the development of
Intelligent Transportation Systems (ITS) is to provide a
comfortable and safe travelling environment to drivers,
passengers and even pedestrians.Furthermore, arriving to a
destination is one thing and arriving in time is another. Due to
congestion that is caused by so many vehicles, the latter may
not be realized totally. ITSs apply communication and
information technology to provide solutions to this congestion
as well as other traffic control issues [1] [2].ITSs play a vital
role in the improvement of traffic flow. This is achieved with
the assistance from the advanced communication technologies
in the infrastructure and in vehicles which relieve the user
from congestion and provide enhanced safety. The way the
ITS works depends on the overall standardized systems
architecture but it may vary from regional to national
architecture that is to say, it may vary from country to country
and changes may evolve[3]. ITS has its start from acquisition
of automated information from an infrastructure and
transferring the valid data to traffic management centers where
the analysis of the data is done and then reliable information
about the traffic is given to the public/traveler. The article is
arranged as follows. Section II gives the basic model of ITS,
Section III gives the brief components of ITS, Section IV is
about how the application modules can be arranged basing on
its users and Section V provides a new Framework giving the
research that can be done on the users’ mobility. Based on it,
solutions to traffic related issues can be obtained.
II. CONCEPTUAL MODEL-ITS
From Fig.1 People, roads and vehicles are the essential
abstraction of ITS.
ITS
PEOPLE
ROADS VEHICLES
Electronic Toll Variable Message Signs, Weather
Information System, Fleet Management etc.,
Fig. 1 Conceptual Model of ITS
A mass variety of ITSs require communication with the
vehicles and the infrastructure. This involves bidirectional
communication which generates new capabilities and the
results are provided to the end users [4]. Users are those who
directly receive the data and can act towards it or even control
it. These elements should be coherent, efficient and simplified
in support of cooperation between them, interoperability and
consistency. Then a frame work has to be developed for
designing these systems [5].
III. COMPONENTS OF ITS
Nowadays technologies deal with the ability to sense the
presence and identity of vehicles through the devices on road
or by Global Positioning Systems (GPS). They transmit the
large amount of data obtained to advanced information
technologies for processing producing efficient and reliable
data valid to the users that can help them to make informed
decisions
[6].The Traffic Management Center (TMC) is the hub of atran
sportation management system, where information about the
transportation network is collected and combined with other
operational and control data to manage the transportation
network and to produce traveler information [7].
The TMC integrates the following:
 Traffic signals – from which real time information/data
can be received.
 Surveillance cameras –live images from surveillance
camera are another type of input.
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.91- 93
ISSN: 2278-2400
92
 Enforcement camera –the recordings from this equipment
is used to find out if there is violation of traffic[7]
The Traffic Management Centre (TMC) is a control and
command center located at headquarters of a location to
enhance the ITS. The real-time data is incorporated and
processed and the required action is taken. A localized
distribution of data is adopted to achieve different goals of the
traffic management system. With the TMC the transportation
system efficiency can be improved enhancing mobility and
safety. The efficiency of the ITS depends on the effective
functioning of TMC, which in turn depends on its components.
The components of the TMC include:
1) Data Acquisition:
Rapid and accurate data acquisition from real-time monitoring
systems is critical. The collected reliable data is a base to the
ITS. It has a good data acquisition-communication-
management system containing a combination of a tested
hardware and efficient software. The ITS equipment
commonly uses Laser, radar, microwave detectors, AVI, AVL,
GPS, magnetic detectors, Bluetooth, sensors, video and sense
networks, acquired from the devices which are used as an
input to find the current situation at a particular place for the
guidance of the public [8].
2) Data Analysis:
Quality data has to be generated to get clean and reliable
results. Analysis of statistical data includes cleaning, fusion
and analysis. The TMC checks for the data collected from
various inputs. The inaccurate data is weeded out but the clean
data has to be retained. Moreover there may be a requirement
to fuse the data from different devices for future analysis.
Forecast of traffic states can be decided by analyzing and
estimating from the fused data. Then the appropriate useful
information is provided to the users.
3) Communication Tools:
The efficiency of anITS is also based on how quick and
reliable communication is in forwarding the collected data,the
analysis of the acquired data from a location and the delivery
of results to the public. Results are deployed to the public with
help of media like SMS, web pages and from onboard units[8].
IV. MODULES OF ITS
To enhance the transportation network and to satisfy the needs
of a user of ITS, building a new infrastructure and modifying
the existing are the two strategies that can be followed. The
analysis of ITS architecture with respect to other countries
reflects a similar philosophy with slight differences. So, it has
been confided to a specific categorization. Here an attempt is
made to cluster it based on class of users jaunt appropriate to
their objective with ITS as their transportation guidance which
guarantees driver security [9].
1. Individual Travelers:
2. Driver on Commercial Vehicles
3. Sightseer Travel Plan
4. Incident Detection Personnel
5. Customer’s Parking Counselor
6. Officials hands on Monitoring Systems
1. Individual Travelers:
These types of ITS use software are in common according
to the required specifications.
Fig. 2 Unique Features in the Modules
2. Driver on Commercial Vehicles:
• Connects motor carriers and regulatory agencies.
3. Sightseer Travel Plan
• Detects unsafe conditions
• To avoid crashes travellers are warned to take an
appropriate action.
• Alerts of approaching dangerous curves, off ramps.
• Gives a caution about the presence of pedestrians.
4. Incident Detection Personnel
• Surveillance and detection
• Mobilization and response
• Information dissemination
• Clearance and recovery
5. Customer’s Parking Counselor
• Level of integration
• Data Collection and Archiving
• System performance and Modeling
6. Officials hands on Monitoring Systems
• Decision support systems
• Predictive information & Performance monitoring
These applications uses a variety of technologies, including
sensors, detectors, cameras, Internet websites, television and
Radio, inform them to make decisions regarding trip
departures, routes, and mode of travel etc.,. At the
extreme,these systems aim to minimize the errors done by the
driver, in some cases a fully automated cruise control system
takes control of the vehicle away from the driver and manages
forcefully driving on its own control. Many features like
collision alert and avoidance control, condition of the driver
and his current performance monitoring, vision enhancement,
speed control in an highway etc. can be added to the Fig.2.[9].
[10] describes the existing features like Mobile Ad-hoc
Networks, the challenge on implementing realistic simulation
of Inter Vehicle Communication (IVC) protocols and
emphasis on need for realistic mobility generation for Indian
Automotive Intelligent Transport System.
V. FRAMEWORK OF ITS
All the other source of data pertains to maintenance of the
system with respect to its hardware which may be a costly.
Moreover implementing them may be more labor and time
consuming to provide remarkable insights to aggregate human
activity. Here there is an introduction of new type of acquiring
data in Data Mining called Reality Mining.
Data Analysis:
ü Traveller Behavior
•Shopping
•Work
•Friends
Spatial and Time-Based Cleaning
Data Acquisition:
Mobile
TMC
Clustering Algorithms
Decision Making
Dissemination
Name + Location
Aggregate Human Activity
Fig. 3 Framework of ITS
PC Tablet Mobile
…………
It is the name coined by Alex(Sandy) Pentland of MIT and
Tony Jebara of Columbia University; have a company called
Sense Networks. Many devices are being used by the business
people who constantly send their location information.
Millions of consumers are bound to use location-based devices
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.91- 93
ISSN: 2278-2400
93
for finding the nearby services, friends and family, navigating,
games, and hobbies. This has resulted in massive historical
database and real-time streaming location information which
as such might not be useful to proceeding further. Then on
these large scale pattern movement analysis and learning is
done to identify the classes of behaviors in specific context.An
appropriate clustering algorithm is applied after the spatial and
time-based cleaning is done on massive datasets, supplied to
networks, allowing the business to understand the traveler’s
patterns and provide remarkable insights to aggregate human
activity. The information is received by any device where the
customization of output or the decision making can be done
[11].
VI. CONCLUSION
The use of ITS will become mandatory in the near future.
There is a need of great demand in giving a worthy ITS where
there is a large complex variations in putting together
technologies to work. So, ITS framework has been developed
so that the existing data can be used effectively without the
creation of newdata or by using any other devices in turn
usesthe recent upcoming technology. The main objective of
the framework is to collect the reliable and efficient data using
reality mining were an efficient algorithm can be developed
for the refinement of data which acts as an input for the future
ITS. The duplication of large data can be avoided. Regarding
the security the user can be allowed to customize their details
according to their convenience.This framework can be still
enhanced to act as a template which is appreciated for the
upcoming implementation of ITS.
REFERENCES
[1] http://www.seminarsonly.com/Civil_Engineering/Intelligent-Transport-
System.php
[2] Fujise, Masayuki, Akihito Kato, Katsuyoshi Sato, and Hiroshi Harada.
"Intelligent transport systems." In Wireless Communication Technologies:
New Multimedia Systems, pp. 171-200. Springer US, 2002.
[3] Bob Williams,”Intelligent Transport Systems Standard”, Artech House,
2008
[4] Lino Figueiredo, Isabel Jesus, J. A. Tenreiro Machado, Jose Rui Ferreira,
J. L. Martins de Carvalho,”Towards the Development of Intelligent
Transportation Systems,”2001 IEEE Intelligent Transportation Systems
Conference Proceedings- Oakland, USA,August 25-29, pp. 1206-1211
[5] http://www.mlit.go.jp/road/ITS/5Ministries/chap1.html.
[6] Joseph S. Sussman,” Perspectives on Intelligent Transportation System
(ITS), Springer Science & Business Media, 26-May-2008.
[7] http://www.bangaloretrafficpolice.gov.in/TMC.pdf
[8] Lelitha Vanajakshi, Gitakrishnan Ramadurai, Asha Anand, “Intelligent
Transportation Systems Synthesis Report on ITS including Issues
Challenges in India”,Center of Excellence in Urban Transport, IIT M,
Dec 2010
[9] Joseph Sussman, “Introduction to Transportation System,”Artech
House,Boston and London, 01-Jan-2000 - Technology & Engineering.
[10]V.S. Dhaka, Ramesh C. Poonia and Linesh Raja , “ The Realistic
Mobility Evaluation of Vechicular Ad-Hoc Network for Indian
Automotives Network, “ International Journal of Ad-Hoc, Sensor &
Ubiquitous Computing (IJASUC)vol.5, No. 2, April 2014. pp. 1-11.
[11]Elias M.Awad, Hassan M.Ghaziri, ”Knowledge Management”, Pearson
Education (Edition 2004).

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Deployment of Intelligent Transport Systems Based on User Mobility to be Endowed in Smart Transit Review

  • 1. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.91- 93 ISSN: 2278-2400 91 Deployment of Intelligent Transport Systems Based on User Mobility to be Endowed in Smart Transit Review P.A.Pragasa Mary1 , D.Pugazhenthi2 1 Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India. 2 Assistant Professor, Quaid-E-Millath Govt College for Women (A) Anna Salai ,Chennai, Tamilnadu, India. Email: pragasamary76@gmail.com, pugazh006@gmail.com Abstract—The emerging increase in vehicles and very high traffic, demands the need for improved Intelligent Transport Systems (ITS). The available ITSs do not meet all the requirements of the present day situation in providing safetravels and avoidance of congestionin spite of its limitations on road. Intelligent Transport Systemsrequiremore research and implementation of better solutions on the traffic network with increased mobility and more rapid acquisition of data by sense network technology. In this paper a review is made on the present ITS where research is required so that improvement in the course of implementing reality mining can enhance the behavior of ITS. This will breed a forward leap in the improvement of safety and convenience of personal and commercial travel and in turn guarantee an ultimate drop in fatality in the society. Keywords—ITS, TMC, Reality Mining, user-place data. I. INTRODUCTION When the first wheel was put on the first cart traffic became a part of man’s life [1]. The mere fact that traffic is now part of man leaves him with no choice but to better his life with it in play. The fundamental purpose for the development of Intelligent Transportation Systems (ITS) is to provide a comfortable and safe travelling environment to drivers, passengers and even pedestrians.Furthermore, arriving to a destination is one thing and arriving in time is another. Due to congestion that is caused by so many vehicles, the latter may not be realized totally. ITSs apply communication and information technology to provide solutions to this congestion as well as other traffic control issues [1] [2].ITSs play a vital role in the improvement of traffic flow. This is achieved with the assistance from the advanced communication technologies in the infrastructure and in vehicles which relieve the user from congestion and provide enhanced safety. The way the ITS works depends on the overall standardized systems architecture but it may vary from regional to national architecture that is to say, it may vary from country to country and changes may evolve[3]. ITS has its start from acquisition of automated information from an infrastructure and transferring the valid data to traffic management centers where the analysis of the data is done and then reliable information about the traffic is given to the public/traveler. The article is arranged as follows. Section II gives the basic model of ITS, Section III gives the brief components of ITS, Section IV is about how the application modules can be arranged basing on its users and Section V provides a new Framework giving the research that can be done on the users’ mobility. Based on it, solutions to traffic related issues can be obtained. II. CONCEPTUAL MODEL-ITS From Fig.1 People, roads and vehicles are the essential abstraction of ITS. ITS PEOPLE ROADS VEHICLES Electronic Toll Variable Message Signs, Weather Information System, Fleet Management etc., Fig. 1 Conceptual Model of ITS A mass variety of ITSs require communication with the vehicles and the infrastructure. This involves bidirectional communication which generates new capabilities and the results are provided to the end users [4]. Users are those who directly receive the data and can act towards it or even control it. These elements should be coherent, efficient and simplified in support of cooperation between them, interoperability and consistency. Then a frame work has to be developed for designing these systems [5]. III. COMPONENTS OF ITS Nowadays technologies deal with the ability to sense the presence and identity of vehicles through the devices on road or by Global Positioning Systems (GPS). They transmit the large amount of data obtained to advanced information technologies for processing producing efficient and reliable data valid to the users that can help them to make informed decisions [6].The Traffic Management Center (TMC) is the hub of atran sportation management system, where information about the transportation network is collected and combined with other operational and control data to manage the transportation network and to produce traveler information [7]. The TMC integrates the following:  Traffic signals – from which real time information/data can be received.  Surveillance cameras –live images from surveillance camera are another type of input.
  • 2. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.91- 93 ISSN: 2278-2400 92  Enforcement camera –the recordings from this equipment is used to find out if there is violation of traffic[7] The Traffic Management Centre (TMC) is a control and command center located at headquarters of a location to enhance the ITS. The real-time data is incorporated and processed and the required action is taken. A localized distribution of data is adopted to achieve different goals of the traffic management system. With the TMC the transportation system efficiency can be improved enhancing mobility and safety. The efficiency of the ITS depends on the effective functioning of TMC, which in turn depends on its components. The components of the TMC include: 1) Data Acquisition: Rapid and accurate data acquisition from real-time monitoring systems is critical. The collected reliable data is a base to the ITS. It has a good data acquisition-communication- management system containing a combination of a tested hardware and efficient software. The ITS equipment commonly uses Laser, radar, microwave detectors, AVI, AVL, GPS, magnetic detectors, Bluetooth, sensors, video and sense networks, acquired from the devices which are used as an input to find the current situation at a particular place for the guidance of the public [8]. 2) Data Analysis: Quality data has to be generated to get clean and reliable results. Analysis of statistical data includes cleaning, fusion and analysis. The TMC checks for the data collected from various inputs. The inaccurate data is weeded out but the clean data has to be retained. Moreover there may be a requirement to fuse the data from different devices for future analysis. Forecast of traffic states can be decided by analyzing and estimating from the fused data. Then the appropriate useful information is provided to the users. 3) Communication Tools: The efficiency of anITS is also based on how quick and reliable communication is in forwarding the collected data,the analysis of the acquired data from a location and the delivery of results to the public. Results are deployed to the public with help of media like SMS, web pages and from onboard units[8]. IV. MODULES OF ITS To enhance the transportation network and to satisfy the needs of a user of ITS, building a new infrastructure and modifying the existing are the two strategies that can be followed. The analysis of ITS architecture with respect to other countries reflects a similar philosophy with slight differences. So, it has been confided to a specific categorization. Here an attempt is made to cluster it based on class of users jaunt appropriate to their objective with ITS as their transportation guidance which guarantees driver security [9]. 1. Individual Travelers: 2. Driver on Commercial Vehicles 3. Sightseer Travel Plan 4. Incident Detection Personnel 5. Customer’s Parking Counselor 6. Officials hands on Monitoring Systems 1. Individual Travelers: These types of ITS use software are in common according to the required specifications. Fig. 2 Unique Features in the Modules 2. Driver on Commercial Vehicles: • Connects motor carriers and regulatory agencies. 3. Sightseer Travel Plan • Detects unsafe conditions • To avoid crashes travellers are warned to take an appropriate action. • Alerts of approaching dangerous curves, off ramps. • Gives a caution about the presence of pedestrians. 4. Incident Detection Personnel • Surveillance and detection • Mobilization and response • Information dissemination • Clearance and recovery 5. Customer’s Parking Counselor • Level of integration • Data Collection and Archiving • System performance and Modeling 6. Officials hands on Monitoring Systems • Decision support systems • Predictive information & Performance monitoring These applications uses a variety of technologies, including sensors, detectors, cameras, Internet websites, television and Radio, inform them to make decisions regarding trip departures, routes, and mode of travel etc.,. At the extreme,these systems aim to minimize the errors done by the driver, in some cases a fully automated cruise control system takes control of the vehicle away from the driver and manages forcefully driving on its own control. Many features like collision alert and avoidance control, condition of the driver and his current performance monitoring, vision enhancement, speed control in an highway etc. can be added to the Fig.2.[9]. [10] describes the existing features like Mobile Ad-hoc Networks, the challenge on implementing realistic simulation of Inter Vehicle Communication (IVC) protocols and emphasis on need for realistic mobility generation for Indian Automotive Intelligent Transport System. V. FRAMEWORK OF ITS All the other source of data pertains to maintenance of the system with respect to its hardware which may be a costly. Moreover implementing them may be more labor and time consuming to provide remarkable insights to aggregate human activity. Here there is an introduction of new type of acquiring data in Data Mining called Reality Mining. Data Analysis: ü Traveller Behavior •Shopping •Work •Friends Spatial and Time-Based Cleaning Data Acquisition: Mobile TMC Clustering Algorithms Decision Making Dissemination Name + Location Aggregate Human Activity Fig. 3 Framework of ITS PC Tablet Mobile ………… It is the name coined by Alex(Sandy) Pentland of MIT and Tony Jebara of Columbia University; have a company called Sense Networks. Many devices are being used by the business people who constantly send their location information. Millions of consumers are bound to use location-based devices
  • 3. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.91- 93 ISSN: 2278-2400 93 for finding the nearby services, friends and family, navigating, games, and hobbies. This has resulted in massive historical database and real-time streaming location information which as such might not be useful to proceeding further. Then on these large scale pattern movement analysis and learning is done to identify the classes of behaviors in specific context.An appropriate clustering algorithm is applied after the spatial and time-based cleaning is done on massive datasets, supplied to networks, allowing the business to understand the traveler’s patterns and provide remarkable insights to aggregate human activity. The information is received by any device where the customization of output or the decision making can be done [11]. VI. CONCLUSION The use of ITS will become mandatory in the near future. There is a need of great demand in giving a worthy ITS where there is a large complex variations in putting together technologies to work. So, ITS framework has been developed so that the existing data can be used effectively without the creation of newdata or by using any other devices in turn usesthe recent upcoming technology. The main objective of the framework is to collect the reliable and efficient data using reality mining were an efficient algorithm can be developed for the refinement of data which acts as an input for the future ITS. The duplication of large data can be avoided. Regarding the security the user can be allowed to customize their details according to their convenience.This framework can be still enhanced to act as a template which is appreciated for the upcoming implementation of ITS. REFERENCES [1] http://www.seminarsonly.com/Civil_Engineering/Intelligent-Transport- System.php [2] Fujise, Masayuki, Akihito Kato, Katsuyoshi Sato, and Hiroshi Harada. "Intelligent transport systems." In Wireless Communication Technologies: New Multimedia Systems, pp. 171-200. Springer US, 2002. [3] Bob Williams,”Intelligent Transport Systems Standard”, Artech House, 2008 [4] Lino Figueiredo, Isabel Jesus, J. A. Tenreiro Machado, Jose Rui Ferreira, J. L. Martins de Carvalho,”Towards the Development of Intelligent Transportation Systems,”2001 IEEE Intelligent Transportation Systems Conference Proceedings- Oakland, USA,August 25-29, pp. 1206-1211 [5] http://www.mlit.go.jp/road/ITS/5Ministries/chap1.html. [6] Joseph S. Sussman,” Perspectives on Intelligent Transportation System (ITS), Springer Science & Business Media, 26-May-2008. [7] http://www.bangaloretrafficpolice.gov.in/TMC.pdf [8] Lelitha Vanajakshi, Gitakrishnan Ramadurai, Asha Anand, “Intelligent Transportation Systems Synthesis Report on ITS including Issues Challenges in India”,Center of Excellence in Urban Transport, IIT M, Dec 2010 [9] Joseph Sussman, “Introduction to Transportation System,”Artech House,Boston and London, 01-Jan-2000 - Technology & Engineering. [10]V.S. Dhaka, Ramesh C. Poonia and Linesh Raja , “ The Realistic Mobility Evaluation of Vechicular Ad-Hoc Network for Indian Automotives Network, “ International Journal of Ad-Hoc, Sensor & Ubiquitous Computing (IJASUC)vol.5, No. 2, April 2014. pp. 1-11. [11]Elias M.Awad, Hassan M.Ghaziri, ”Knowledge Management”, Pearson Education (Edition 2004).