Intelligent transportation system

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Intelligent Transportation System
)
ITS graphical user interface displaying the Hungarian highway network and its data points

An intelligent transportation system (ITS) is an advanced application which aims to provide innovative services relating to different

modes of transport and traffic management and enable users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks.[1]

Some of these technologies include calling for emergency services when an accident occurs, using cameras to enforce traffic laws or signs that mark speed limit changes depending on conditions.

Although ITS may refer to all modes of transport, the

information and communication technologies are applied in the field of road transport, including infrastructure, vehicles and users, and in traffic management and mobility management, as well as for interfaces with other modes of transport.[2] ITS may be used to improve the efficiency and safety of transport in many situations, i.e. road transport, traffic management, mobility, etc.[3] ITS technology is being adopted across the world to increase the capacity of busy roads, reduce journey times and enable the collection of information on unsuspecting road users.[4]

Background

Governmental[

mass evacuation
of people in urban centers after large casualty events such as a result of a natural disaster or threat. Much of the infrastructure and planning involved with ITS parallels the need for homeland security systems.

In the

trains
.

Other parts of the developing world, such as

transportation system
for the poor is cross-cut by the highly motorised transportation system for the rich.

Intelligent transportation technologies

Intelligent transport systems vary in technologies applied, from basic management systems such as

CCTV systems, and automatic incident detection or stopped vehicle detection systems; to more advanced applications that integrate live data and feedback from a number of other sources, such as parking guidance and information systems; weather information; bridge de-icing (US deicing) systems; and the like. Additionally, predictive techniques are being developed to allow advanced modelling and comparison with historical baseline data. Some of these technologies are described in the following sections.[6]

Wireless communications

Traffic monitoring gantry with wireless communication dish antenna

Various forms of wireless communications technologies have been proposed for intelligent transportation systems.

VHF
frequencies are widely used for short and long range communication within ITS.

Short-range communications of 350 m can be accomplished using

mobile ad hoc networks or mesh networking
.

Longer range communications use infrastructure networks. Long-range communications using these methods are well established, but, unlike the short-range protocols, these methods require extensive and very expensive infrastructure deployment.

Computational technologies

Recent advances in

process control, artificial intelligence, and ubiquitous computing. Perhaps the most important of these for intelligent transportation systems is artificial intelligence.[citation needed
]

Floating car data/floating cellular data

RFID E-ZPass
reader attached to the pole and its antenna (right) used in traffic monitoring in New York City by using vehicle re-identification method

"Floating car" or "probe" data collected other transport routes. Broadly speaking, four methods have been used to obtain the raw data:

In metropolitan areas, the distance between antennas is shorter and in theory accuracy increases. An advantage of this method is that no infrastructure needs to be built along the road; only the mobile phone network is leveraged. But in practice the triangulation method can be complicated, especially in areas where the same mobile phone towers serve two or more parallel routes (such as a motorway (freeway) with a frontage road, a motorway (freeway) and a commuter rail line, two or more parallel streets, or a street that is also a bus line). By the early 2010s, the popularity of the triangulation method was declining.[citation needed]

Floating car data technology provides advantages over other methods of traffic measurement:

  • Less expensive than sensors or cameras
  • More coverage (potentially including all locations and streets)
  • Faster to set up and less maintenance
  • Works in all weather conditions, including heavy rain

Sensing

RFID
tag used for electronic toll collection

Technological advances in telecommunications and information technology, coupled with ultramodern/state-of-the-art microchip,

automatic number plate recognition
or vehicle magnetic signature detection technologies at desired intervals to increase sustained monitoring of vehicles operating in critical zones of world.

Inductive loop detection

Saw cut loop detectors for vehicle detection buried in the pavement at this intersection as seen by the rectangular shapes of loop detector sealant at the bottom part of this picture

Inductive loops can be placed in a roadbed to detect vehicles as they pass through the loop's magnetic field. The simplest detectors simply count the number of vehicles during a unit of time (typically 60 seconds in the United States
) that pass over the loop, while more sophisticated sensors estimate the speed, length, and class of vehicles and the distance between them. Loops can be placed in a single lane or across multiple lanes, and they work with very slow or stopped vehicles as well as vehicles moving at high speed.

Video vehicle detection

Traffic-flow measurement and automatic incident detection using video

processors that analyse the changing characteristics of the video image as vehicles pass. The cameras are typically mounted on poles or structures above or adjacent to the roadway. Most video detection systems require some initial configuration to "teach" the processor the baseline background image. This usually involves inputting known measurements such as the distance between lane
lines or the height of the camera above the roadway. A single video detection processor can detect traffic simultaneously from one to eight cameras, depending on the brand and model. The typical output from a video detection system is lane-by-lane vehicle speeds, counts, and lane occupancy readings. Some systems provide additional outputs including gap, headway, stopped-vehicle detection, and wrong-way vehicle alarms.

Bluetooth detection

Bluetooth is an accurate and inexpensive way to transmit position from a vehicle in motion. Bluetooth devices in passing vehicles are detected by sensing devices along the road. If these sensors are interconnected they are able to calculate travel time and provide data for origin and destination matrices. Compared to other traffic measurement technologies, Bluetooth measurement has some differences:

  • Accurate measurement points with absolute confirmation to provide to the second travel times.
  • Is non-intrusive, which can lead to lower-cost installations for both permanent and temporary sites.
  • Is limited to how many Bluetooth devices are broadcasting in a vehicle so counting and other applications are limited.
  • Systems are generally quick to set up with little to no calibration needed.

Since Bluetooth devices become more prevalent on board vehicles and with more portable electronics broadcasting, the amount of data collected over time becomes more accurate and valuable for travel time and estimation purposes, more information can be found in.[11]

It is also possible to measure

traffic density on a road using the audio signal that consists of the cumulative sound from tire noise, engine noise, engine-idling noise, honks and air turbulence noise. A roadside-installed microphone picks up the audio that comprises the various vehicle noise and audio signal processing techniques can be used to estimate the traffic state. The accuracy of such a system compares well with the other methods described above.[12]

Radar detection

Radars are mounted on the side of the road to measure traffic flow and for stopped and stranded vehicle detection purposes. Like video systems, radar learns its environment during set up so can distinguish between vehicles and other objects. It can also operate in conditions of low visibility. Traffic flow radar uses a "side-fire" technique to look across all traffic lanes in a narrow band to count the number of passing vehicles and estimate traffic density. For stopped vehicle detection (SVD) and automatic incident detection, 360 degree radar systems are used as they scan all lanes along large stretches of road. Radar is reported to have better performance over longer ranges than other technologies.[13] SVD radar will be installed on all Smart motorways in the UK.[14]

Information fusion from multiple traffic sensing modalities

The data from the different sensing technologies can be combined in intelligent ways to determine the traffic state accurately. A data fusion based approach that utilizes the road side collected acoustic, image and sensor data has been shown to combine the advantages of the different individual methods.[15]

Intelligent transportation applications

Emergency vehicle notification systems

In 2015, the EU passed a law required automobile manufacturers to equip all new cars with

, PSAP). The voice call enables the vehicle occupant to communicate with the trained eCall operator. At the same time, a minimum set of data will be sent to the eCall operator receiving the voice call.

The minimum set of data contains information about the incident, including time, precise location, the direction the vehicle was traveling, and vehicle identification. The pan-European eCall aims to be operative for all new type-approved vehicles as a standard option. Depending on the manufacturer of the eCall system, it could be mobile phone based (Bluetooth connection to an in-vehicle interface), an integrated eCall device, or a functionality of a broader system like navigation, Telematics device, or tolling device. eCall is expected to be offered, at earliest, by the end of 2010, pending standardization by the

European Telecommunications Standards Institute
and commitment from large EU member states such as France and the United Kingdom.

Congestion pricing gantry at North Bridge Road, Singapore

The EC funded project SafeTRIP[citation needed] is developing an open ITS system that will improve road safety and provide a resilient communication through the use of S-band satellite communication. Such platform will allow for greater coverage of the Emergency Call Service within the EU.

Automatic road enforcement

Brasilia, D.F.

A traffic enforcement camera system, consisting of a camera and a vehicle-monitoring device, is used to detect and identify vehicles disobeying a speed limit or some other road legal requirement and automatically ticket offenders based on the license plate number. Traffic tickets are sent by mail. Applications include:

  • Speed cameras that identify vehicles traveling over the legal speed limit. Many such devices use radar to detect a vehicle's speed or electromagnetic loops buried in each lane of the road.
  • Red light cameras that detect vehicles that cross a stop line or designated stopping place while a red traffic light is showing.
  • car pooling
    .
  • at grade
    illegally.
  • Double white line cameras that identify vehicles crossing these lines.
  • High-occupancy vehicle lane cameras that identify vehicles violating HOV requirements.

Variable speed limits

Example variable speed limit sign in the United States

Recently some jurisdictions have begun experimenting with variable speed limits that change with road congestion and other factors. Typically such speed limits only change to decline during poor conditions, rather than being improved in good ones. One example is on Britain's M25 motorway, which circumnavigates London. On the most heavily traveled 14-mile (23 km) section (junction 10 to 16) of the M25 variable speed limits combined with automated enforcement have been in force since 1995. Initial results indicated savings in journey times, smoother-flowing traffic, and a fall in the number of accidents, so the implementation was made permanent in 1997. Further trials on the M25 have been thus far proven inconclusive.[18]

Collision avoidance systems

Japan has installed sensors on its highways to notify motorists that a car is stalled ahead.[19]

Cooperative systems on the road

Communication cooperation on the road includes car-to-car, car-to-infrastructure, and vice versa. Data available from vehicles are acquired and transmitted to a server for central fusion and processing. These data can be used to detect events such as rain (wiper activity) and congestion (frequent braking activities). The server processes a driving recommendation dedicated to a single or a specific group of drivers and transmits it wirelessly to vehicles. The goal of cooperative systems is to use and plan communication and sensor infrastructure to increase road safety. The definition of cooperative systems in road traffic is according to the European Commission:[20][21]

"Road operators, infrastructure, vehicles, their drivers and other road users will cooperate to deliver the most efficient, safe, secure and comfortable journey. The vehicle-vehicle and vehicle-infrastructure co-operative systems will contribute to these objectives beyond the improvements achievable with stand-alone systems."

World Congress on Intelligent Transport Systems (ITS World Congress) is an annual trade show to promote ITS technologies. ERTICO– ITS Europe, ITS America and ITS AsiaPacific sponsor the annual ITS World Congress and exhibition. Each year the event takes place in a different region (Europe, Americas or Asia-Pacific).[22] The first ITS World Congress was held in Paris in 1994.[23]

Smart transportation – new business models

New mobility and smart transportation models are emerging globally.

commuters and shoppers all over the world. All these new models provide opportunities for solving last mile issues in urban areas
.

ITS in the connected world

digital commerce
medium.

Payments and billing flexibility

These new mobility models call for high monetization agility and partner management capabilities. A flexible settlements and billing platform enables revenues to be shared quickly and easily and provides an overall better

loyalty points and rewards, and engaged via direct marketing
.

Europe

The Network of National ITS Associations is a grouping of national ITS interests. It was officially announced 7 October 2004 in London. The secretariat is at ERTICO – ITS Europe.[24]

ERTICO – ITS Europe is a public/private partnership promoting the development and deployment of ITS. They connect public authorities, industry players, infrastructure operators, users, national ITS associations and other organisations together. The ERTICO work programme focuses on initiatives to improve transport safety, security and network efficiency whilst taking into account measures to reduce environmental impact.

United States

In the United States, each state has an ITS chapter that holds a yearly conference to promote and showcase ITS technologies and ideas. Representatives from each Department of Transportation (state, cities, towns, and counties) within the state attend this conference.

Latin America

Colombia

In the intermediate cities of Colombia, where the Strategic Public Transportation Systems are implemented, the urban transportation networks must operate under parameters that improve the quality of service provision. Several of the challenges faced by the transportation systems in these cities are aimed at increasing the number of passengers transported in the system and the technological adoption that must be integrated for the management and control of public transportation fleets.

information and communication technologies to optimize fleet control and management, electronic fare collection, road safety, and the delivery of information to users.[26] The functionalities to be covered by the technology in these transportation systems include: fleet scheduling; vehicle location and traceability; cloud storage of operational data; interoperability with other information systems; centralization of operations; passenger counting; data control and visualization.[27]

See also

References

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    .
  2. ^ DIRECTIVE 2010/40/EU OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 7 July 2010. eur-lex.europa.eu
  3. ^ "Reducing delay due to traffic congestion. [Social Impact]. ITS. The Intelligent Transportation Systems Centre and Testbed". SIOR, Social Impact Open Repository. Archived from the original on 2017-09-05. Retrieved 2017-09-05.
  4. ^ "Smart tech to end fwy congestion". PerthNow. 2020-07-07. Retrieved 2020-10-07.
  5. (PDF) from the original on 2022-10-10.
  6. ^ "Frequently Asked Questions". Intelligent Transportation Systems Joint Program Office. United States Department of Transportation. Retrieved 10 November 2016.
  7. ^ Ben-Gal, I., Weinstock, S., Singer, G., & Bambos, N. (2019). "Clustering Users by Their Mobility Behavioral Patterns" (PDF). ACM Transactions on Knowledge Discovery from Data (TKDD), 13(4), 45. Archived from the original (PDF) on 2019-10-14. Retrieved 2022-05-29.{{cite web}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)
  8. ^ Tarnoff, Philip John, Bullock, Darcy M, Young, Stanley E, et al. "Continuing Evolution of Travel Time Data Information Collection and Processing", Transportation Research Board Annual Meeting 2009 Paper #09-2030. TRB 88th Annual Meeting Compendium of Papers DVD
  9. ^ "GPS satellite navigation". 2017-01-12.
  10. ^ Mohan, Prashanth, Venkata N. Padmanabhan, and Ramachandran Ramjee. Nericell: rich monitoring of road and traffic conditions using mobile smartphones. Proceedings of the 6th ACM conference on Embedded network sensor systems. ACM, 2008.
  11. ^ Ahmed, Hazem; EL-Darieby, Mohamed; Abdulhai, Baher; Morgan, Yasser (2008-01-13). "Bluetooth- and Wi-Fi-Based Mesh Network Platform for Traffic Monitoring". Transportation Research Board 87th Annual Meeting.
  12. S2CID 14434273.{{cite journal}}: CS1 maint: multiple names: authors list (link
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  13. ^ "Comparison of Stopped Vehicle Detection (SVD) Technologies for Smart Motorway Applications". Ogier Electronics. Retrieved 4 May 2020.
  14. ^ "Smart motorway evidence stocktake and action plan". GOV.UK. Retrieved 2020-04-12.
  15. ^ Joshi, V., Rajamani, N., Takayuki, K., Prathapaneni, N., Subramaniam, L. V. (2013). Information Fusion Based Learning for Frugal Traffic State Sensing. Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence.{{cite conference}}: CS1 maint: multiple names: authors list (link)
  16. ^ Keating, Dave. "All Cars In Europe Can Now Call The Police Themselves". Forbes. Retrieved 2019-09-25.
  17. ^ a b Gleeson, Colin. "New cars to automatically inform authorities of crashes". The Irish Times. Retrieved 2019-09-25.
  18. ^ Report (HC 15, 2004–05): Tackling congestion by making better use of England's motorways and trunk roads (Full Report) (PDF), National Audit Office, 26 November 2004, archived (PDF) from the original on 2005-03-11, retrieved 2009-09-17
  19. ^ Trend in Road Accidents, Japan Archived 2009-05-21 at the Wayback Machine. nilim.go.jp
  20. ^ 3rd eSafety Forum, 25 March 2004
  21. ^ European Commission, Directorate-General “Information Society”, Directorate C “Miniaturisation, Embedded Systems and Societal Applications”, Unit C.5 “ICT for Transport and the Environment”, "Towards Cooperative Systems for Road Transport", Transport Clustering Meeting, 8 November 2004.
  22. ^ "ITS World Congress". Promotional web site. Retrieved 10 November 2016.
  23. ^ "ITS World Congress 2025". www.ntradeshows.com. Retrieved 2023-09-02.
  24. ^ "Introducing the Network of National ITS Associations!". Promotional web site. Retrieved 10 November 2016.
  25. S2CID 244182421. Retrieved 23 May 2022. {{cite book}}: |periodical= ignored (help
    )
  26. .
  27. .

External links