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INTELLIGENT TRANSPORTATION SYSTEM
(ITS)
PRESENTED BY-
BASAVARAJ
INTRODUCTION
 The vehicular traffic is increasing tremendously in today’s/this world,
simultaneously congestion also increases. In order to prevent congestion,
one option is to increase the capacity by increasing the number of existing
transportation system. A second option is to develop alternatives that
increase capacity by improving the efficiency of the existing transportation
system.
 The later focuses on building fewer lane-miles, while investing in Intelligent
Transportation Systems (ITS) infrastructure.
 The goals of ITS include the following:
1. Enhance public safety;
2. Reduce congestion;
3. Improved access to travel and transit information;
4. Generate cost savings to motor carriers, transit- operators,toll
authorities, and government agencies;
5. Reduce detrimental environmental impacts.
Generally, traffic count technologies can be split into two categories:
1.Intrusive and
2. Non-Intrusive methods.
 The intrusive methods basically consist of a data-recorder and sensor
placing on or in the road.
 Non-intrusive techniques are based on remote observations.
 Then the next order automated traffic data technology is floating car data
(FCD). FCD is an alternative or rather complement source of high quality
data to existing technologies. They will help to improve safety, efficiency
and reliability of the transportation system.
 They are becoming crucial in the development of new Intelligent
Transportation Systems (ITS).
Intelligence requires information, and information requires data, which is generated
by surveillance. ITS include sensor, communication, and traffic control
technologies. These technologies assist states, cities, and towns nationwide,
meeting the increasing demands on surface transportation system. Vehicle detection
and surveillance technologies are an integral part of ITS,
since they gather all or part of the data that is used in ITS. So a wide range of data
is required for ITS to manage:
1. Volume Count
2. Vehicle Classification
3. Vehicle Occupancy
4. Travel Time
5. Delay
CONCEPT OF ITS
IN-VEHICLE TECHNOLOGIES OR
FLOATING CAR DATA (FCD)
 In addition to using in-situ technologies, many network management applications
make use of in-vehicle devices, generically termed Automatic Vehicle Location
(AVL) systems.
 AVL devices either provide positional information whenever a suitably equipped
vehicle passes a certain point in the network, or continuous information as the
vehicle travels through a network.
 The former system typically relies on appropriate vehicles being equipped with
transponders which transmit and receive information from roadside units.
CONT…
FLOATING CAR DATA
 The latter system uses vehicles equipped with Global Positioning System
(GPS) technology.
 The principle of FCD is to collect real-time traffic data by locating the
vehicle via mobile phones or GPS over the entire road network as shown
in Fig.
 It represents that all vehicles are equipped with mobile phone or GPS
which will act as a sensor for the road network.
 Data such as car location, speed and direction of travel are sent
anonymously to a central processing centre.
 After collecting and extracting, useful information such as status of traffic
and alternative routes it can be redistributed to the drivers on the road.
 FCD is an alternative or rather complement source of high quality data to
existing technologies. They will help improve safety, efficiency and
reliability of the transportation system.
 They are becoming crucial in the development of ITS.
GPS-based FCD
 GPS is becoming more and more
useful and inexpensive
 few cars had been equipped with GPS
system and were made to pass a
certain point in the network.
 The vehicle location precision was
found to be relatively high, typically
less than 30m.
 GPS probe data are widely used as a
source of real-time information by
many service providers but it suffers
from a limited number of vehicles
equipped and high equipment costs
compared to floating cellular data.
THANK YOU
P.BASAVARAJ
PRESENTED BY
WALCHAND INSTITUTE OF TECHNOLOGY

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Intelligent transportation system

  • 2. INTRODUCTION  The vehicular traffic is increasing tremendously in today’s/this world, simultaneously congestion also increases. In order to prevent congestion, one option is to increase the capacity by increasing the number of existing transportation system. A second option is to develop alternatives that increase capacity by improving the efficiency of the existing transportation system.  The later focuses on building fewer lane-miles, while investing in Intelligent Transportation Systems (ITS) infrastructure.  The goals of ITS include the following: 1. Enhance public safety; 2. Reduce congestion; 3. Improved access to travel and transit information; 4. Generate cost savings to motor carriers, transit- operators,toll authorities, and government agencies; 5. Reduce detrimental environmental impacts.
  • 3. Generally, traffic count technologies can be split into two categories: 1.Intrusive and 2. Non-Intrusive methods.  The intrusive methods basically consist of a data-recorder and sensor placing on or in the road.  Non-intrusive techniques are based on remote observations.  Then the next order automated traffic data technology is floating car data (FCD). FCD is an alternative or rather complement source of high quality data to existing technologies. They will help to improve safety, efficiency and reliability of the transportation system.  They are becoming crucial in the development of new Intelligent Transportation Systems (ITS).
  • 4. Intelligence requires information, and information requires data, which is generated by surveillance. ITS include sensor, communication, and traffic control technologies. These technologies assist states, cities, and towns nationwide, meeting the increasing demands on surface transportation system. Vehicle detection and surveillance technologies are an integral part of ITS, since they gather all or part of the data that is used in ITS. So a wide range of data is required for ITS to manage: 1. Volume Count 2. Vehicle Classification 3. Vehicle Occupancy 4. Travel Time 5. Delay CONCEPT OF ITS
  • 5.
  • 6. IN-VEHICLE TECHNOLOGIES OR FLOATING CAR DATA (FCD)  In addition to using in-situ technologies, many network management applications make use of in-vehicle devices, generically termed Automatic Vehicle Location (AVL) systems.  AVL devices either provide positional information whenever a suitably equipped vehicle passes a certain point in the network, or continuous information as the vehicle travels through a network.  The former system typically relies on appropriate vehicles being equipped with transponders which transmit and receive information from roadside units. CONT…
  • 7. FLOATING CAR DATA  The latter system uses vehicles equipped with Global Positioning System (GPS) technology.  The principle of FCD is to collect real-time traffic data by locating the vehicle via mobile phones or GPS over the entire road network as shown in Fig.  It represents that all vehicles are equipped with mobile phone or GPS which will act as a sensor for the road network.  Data such as car location, speed and direction of travel are sent anonymously to a central processing centre.  After collecting and extracting, useful information such as status of traffic and alternative routes it can be redistributed to the drivers on the road.  FCD is an alternative or rather complement source of high quality data to existing technologies. They will help improve safety, efficiency and reliability of the transportation system.  They are becoming crucial in the development of ITS.
  • 8. GPS-based FCD  GPS is becoming more and more useful and inexpensive  few cars had been equipped with GPS system and were made to pass a certain point in the network.  The vehicle location precision was found to be relatively high, typically less than 30m.  GPS probe data are widely used as a source of real-time information by many service providers but it suffers from a limited number of vehicles equipped and high equipment costs compared to floating cellular data.
  • 9.