Intelligent transportation system
An intelligent transportation system (ITS) is an advanced application which aims to provide innovative services relating to different
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
Background
Governmental[
In the
Other parts of the developing world, such as
Intelligent transportation technologies
Intelligent transport systems vary in technologies applied, from basic management systems such as
Wireless communications
Various forms of wireless communications technologies have been proposed for intelligent transportation systems.
Short-range communications of 350 m can be accomplished using
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
Floating car data/floating cellular data
"Floating car" or "probe" data collected other transport routes. Broadly speaking, four methods have been used to obtain the raw data:
- Triangulation method. In developed countries a high proportion of cars contain one or more mobile phones. The phones periodically transmit their presence information to the mobile phone network, even when no voice connection is established. In the mid-2000s, attempts were made to use mobile phones as anonymous traffic probes. As a car moves, so does the signal of any mobile phones that are inside the vehicle. By measuring and analysing network data using triangulation, pattern matching or cell-sector statistics (in an anonymous format), the data was converted into traffic flow information. With more congestion, there are more cars, more phones, and thus, more probes.[7]
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]
- Vehicle re-identification. Vehicle re-identification methods require sets of detectors mounted along the road. In this technique, a unique serial number for a device in the vehicle is detected at one location and then detected again (re-identified) further down the road. Travel times and speed are calculated by comparing the time at which a specific device is detected by pairs of sensors. This can be done using the RFID serial numbers from electronic toll collection(ETC) transponders (also called "toll tags").
- GPS based methods. An increasing number of vehicles are equipped with in-vehicle satnav/GPS (satellite navigation) systems that have two-way communication with a traffic data provider. Position readings from these vehicles are used to compute vehicle speeds. Modern methods may not use dedicated hardware but instead Smartphone based solutions using so called Telematics 2.0 approaches.[9]
- Smartphone-based rich monitoring. Smartphones having various sensors can be used to track traffic speed and density. The accelerometer data from smartphones used by car drivers is monitored to find out traffic speed and road quality. Audio data and GPS tagging of smartphones enables identification of traffic density and possible traffic jams. This was implemented in Bangalore, India as a part of a research experimental system Nericell.[10]
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
Technological advances in telecommunications and information technology, coupled with ultramodern/state-of-the-art microchip,
Inductive loop detection
Video vehicle detection
Traffic-flow measurement and automatic incident detection using video
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
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
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
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.
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- Double white line cameras that identify vehicles crossing these lines.
- High-occupancy vehicle lane cameras that identify vehicles violating HOV requirements.
Variable speed limits
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.
ITS in the connected world
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
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.
See also
- Automated planning and scheduling
- Driverless car
- Freeway Traffic Management System or COMPASS
- Intelligent speed adaptation
- Intelligent Transportation Systems Institute
- Internet of things
- Map database management
- Mass surveillance
- National Transportation Communications for Intelligent Transportation System Protocol
- RESCU – similar system to COMPASS used by the City of Toronto
- Road Weather Information System
- SCATS
- Scalable Urban Traffic Control
- Smart traffic light
- STREAMS Integrated Intelligent Transport System
- Telematics
- Traffic estimation and prediction system
- Traffic Message Channel
- Traffic optimization
- Vehicular communication systems
- Vehicular Ad Hoc Network
- Wardrop equilibrium
References
- S2CID 246434811.
- ^ DIRECTIVE 2010/40/EU OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 7 July 2010. eur-lex.europa.eu
- ^ "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.
- ^ "Smart tech to end fwy congestion". PerthNow. 2020-07-07. Retrieved 2020-10-07.
- (PDF) from the original on 2022-10-10.
- ^ "Frequently Asked Questions". Intelligent Transportation Systems Joint Program Office. United States Department of Transportation. Retrieved 10 November 2016.
- ^ 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) - ^ 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
- ^ "GPS satellite navigation". 2017-01-12.
- ^ 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.
- ^ 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.
- S2CID 14434273.)
{{cite journal}}
: CS1 maint: multiple names: authors list (link - ^ "Comparison of Stopped Vehicle Detection (SVD) Technologies for Smart Motorway Applications". Ogier Electronics. Retrieved 4 May 2020.
- ^ "Smart motorway evidence stocktake and action plan". GOV.UK. Retrieved 2020-04-12.
- ^ 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) - ^ Keating, Dave. "All Cars In Europe Can Now Call The Police Themselves". Forbes. Retrieved 2019-09-25.
- ^ a b Gleeson, Colin. "New cars to automatically inform authorities of crashes". The Irish Times. Retrieved 2019-09-25.
- ^ 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
- ^ Trend in Road Accidents, Japan Archived 2009-05-21 at the Wayback Machine. nilim.go.jp
- ^ 3rd eSafety Forum, 25 March 2004
- ^ 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.
- ^ "ITS World Congress". Promotional web site. Retrieved 10 November 2016.
- ^ "ITS World Congress 2025". www.ntradeshows.com. Retrieved 2023-09-02.
- ^ "Introducing the Network of National ITS Associations!". Promotional web site. Retrieved 10 November 2016.
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External links
- Intelligent transportation system at Curlie
- ITS Handbook available for free download
- U.S. Department of Transportation – Intelligent Transportation Systems Joint Program Office website
- Guide to Federal ITS Research – U.S. Department of Transportation
- ITS Safety Applications Factsheet – U.S. Department of Transportation
- SMART Highways Magazine
- ISO standardization of intelligent transport systems
- CEN standardization of intelligent transport systems