research-article

Self-organized traffic control

Authors:

Michel Ferreira,

Ricardo Fernandes,

Hugo Conceição,

Wantanee Viriyasitavat,

Ozan K. TonguzAuthors Info & Claims

VANET '10: Proceedings of the seventh ACM international workshop on VehiculAr InterNETworking

Pages 85 - 90

https://doi.org/10.1145/1860058.1860077

Published: 24 September 2010 Publication History

Abstract

In this paper we propose and present preliminary results on the migration of traffic lights as roadside-based infrastructures to in-vehicle virtual signs supported only by vehicle- to-vehicle communications. We design a virtual traffic light protocol that can dynamically optimize the flow of traffic in road intersections without requiring any roadside infrastructure. Elected vehicles act as temporary road junction infrastructures and broadcast traffic light messages that are shown to drivers through in-vehicle displays. This approach renders signalized control of intersections truly ubiquitous, which significantly increases the overall traffic flow. We pro- vide compelling evidence that our proposal is a scalable and cost-effective solution to urban traffic control.

References

[1]

}}R. Akcelik, M. Besley, and E. Chung. An evaluation of SCATS Master Isolated control. In 19th ARRB Transport Research Conference, pages 1--24, 1998.

[2]

}}H. Conceição, L. Damas, M. Ferreira, and J. Barros. Large-scale simulation of V2V environments. In ACM Symposium on Applied Computing, pages 28--33, 2008.

Digital Library

[3]

}}European Commission. European transport policy for 2010 : time to decide, 2001.

[4]

}}W. Feller. An Introduction to Probability Theory and Its Applications. Wiley, 1968.

[5]

}}M. Ferreira, H. Conceição, R. Fernandes, and O. Tonguz. Stereoscopic aerial photography: an alternative to model-based urban mobility approaches. In ACM International Workshop on VehiculAr Inter-NETworking, pages 53--62, 2009.

Digital Library

[6]

}}V. Gradinescu, C. Gorgorin, R. Diaconescu, V. Cristea, and L. Iftode. Adaptive Traffic Lights Using Car-to-Car Communication. In IEEE Vehicular Technology Conference, pages 21--25, 2007.

[7]

}}C. Greenman. Choreographing the Dance of Traffic Lights. The New York Times, page 13, 1998.

[8]

}}C. Lochert, B. Scheuermann, C. Wewetzer, A. Luebke, and M. Mauve. Data aggregation and roadside unit placement for a VANET traffic information system. In ACM International Workshop on VehiculAr Inter-NETworking, pages 58--65, 2008.

Digital Library

[9]

}}T. Nadeem, S. Dashtinezhad, C. Liao, and L. Iftode. Trafficview: traffic data dissemination using car-to-car communication. SIGMOBILE Mob. Comput. Commun. Rev., 8(3):6--19, 2004.

Digital Library

[10]

}}D. Robertson and R. Bretherton. Optimizing networks of traffic signals in real time - the SCOOT method. IEEE Transactions on Vehicular Technology, 40(1 Part 2):11--15, 1991.

[11]

}}T. Roughgarden and É Tardos. How bad is selfish routing? Journal of the ACM, 49(2):259, 2002.

Digital Library

[12]

}}A. Salkham, R. Cunningham, A. Garg, and V. Cahill. A collaborative reinforcement learning approach to urban traffic control optimization. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, volume 2, pages 560--566, 2008.

Digital Library

[13]

}}M. Suozzo. A Market Transformation Opportunity Assessment for LED Traffic Signals. ACEEE, 1998.

[14]

}}Transportation Research Board. Adaptive Traffic Control Systems: Domestic and Foreign State of Practice. NCHRP Synthesis 403, 2010.

[15]

}}M. Treiber, A. Hennecke, and D. Helbing. Congested traffic states in empirical observations and microscopic simulations. Physical Review E, 62(2):1805--1824, 2000.

[16]

}}United States Census Bureau. The Tiger/Line Database, http://www.census.gov/geo/www/tiger/.

[17]

}}U.S. Department of Transportation - Institute of Transportation Engineers. Toolbox of Countermeasures and Their Potential Effectiveness to Make Intersections Safer. Briefing Sheet 8, 2004.

[18]

}}U.S. Department of Transportation - Institute of Transportation Engineers. Traffic Signals Issue Brief 5, 2007.

[19]

}}A. Wegener, M. Piórkowski, M. Raya, H. Hellbrück, S. Fischer, and J. Hubaux. TraCI: an interface for coupling road traffic and network simulators. In ACM Communications and Networking Simulation Symposium, pages 155--163, 2008.

Digital Library

Cited By

Dulera SYadav RChaturvedi M(2025)Graph based Conflict-Free Scheduling of Autonomous Vehicles at Unsignalized Intersections2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)10.1109/COMSNETS63942.2025.10885772(96-101)Online publication date: 6-Jan-2025
https://doi.org/10.1109/COMSNETS63942.2025.10885772
Ampadu KHuebner M(2024)Road Traffic Gesture Autonomous Integrity Monitoring Using Fuzzy LogicSensors10.3390/s2501015225:1(152)Online publication date: 30-Dec-2024
https://doi.org/10.3390/s25010152
Ou CLin J(2024)Adaptive Traffic Control with Emergency Vehicles Using Vehicle-to-Roadside CommunicationsProceedings of the 2024 International Conference on Information Technology, Data Science, and Optimization10.1145/3658549.3658573(106-110)Online publication date: 22-May-2024
https://dl.acm.org/doi/10.1145/3658549.3658573
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Index Terms

Self-organized traffic control
1. Applied computing
  1. Physical sciences and engineering
    1. Engineering
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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Published In

cover image ACM Conferences

VANET '10: Proceedings of the seventh ACM international workshop on VehiculAr InterNETworking

September 2010

106 pages

ISBN:9781450301459

DOI:10.1145/1860058

General Chairs:
Timo Kosch
BMW, Germany
,
Andre Weimerskirch
escrypt Inc., USA
,
Program Chairs:
Marc Torrent-Moreno
Barcelona Digital Centre Tecnològic, Spain
,
Marco Gruteser
Rutgers University, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2010

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MobiCom/MobiHoc '10

Sponsor:

SIGMOBILE

MobiCom/MobiHoc '10: The 16th Annual International Conference on Mobile Computing and Networking and The 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing

September 24, 2010

Illinois, Chicago, USA

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Overall Acceptance Rate 26 of 64 submissions, 41%

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Cited By

Dulera SYadav RChaturvedi M(2025)Graph based Conflict-Free Scheduling of Autonomous Vehicles at Unsignalized Intersections2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)10.1109/COMSNETS63942.2025.10885772(96-101)Online publication date: 6-Jan-2025
https://doi.org/10.1109/COMSNETS63942.2025.10885772
Ampadu KHuebner M(2024)Road Traffic Gesture Autonomous Integrity Monitoring Using Fuzzy LogicSensors10.3390/s2501015225:1(152)Online publication date: 30-Dec-2024
https://doi.org/10.3390/s25010152
Ou CLin J(2024)Adaptive Traffic Control with Emergency Vehicles Using Vehicle-to-Roadside CommunicationsProceedings of the 2024 International Conference on Information Technology, Data Science, and Optimization10.1145/3658549.3658573(106-110)Online publication date: 22-May-2024
https://dl.acm.org/doi/10.1145/3658549.3658573
Kim JSaraogi RSarkar SStarobinski DVenkatesh S(2024)Capturing the Spread of Information in Heterogeneous V2X Through Scalable ComputationIEEE/ACM Transactions on Networking10.1109/TNET.2023.332183632:2(1540-1555)Online publication date: Apr-2024
https://doi.org/10.1109/TNET.2023.3321836
Zhang YXie QGao MGuo Y(2023)The Impact of In-Vehicle Traffic Lights on Driving Characteristics in the Presence of Obstructed Line-of-SightSustainability10.3390/su1510841615:10(8416)Online publication date: 22-May-2023
https://doi.org/10.3390/su15108416
Rathje PPoirot VLandsiedel O(2023)STARC: Decentralized Coordination Primitive on Low-Power IoT Devices for Autonomous Intersection ManagementJournal of Sensor and Actuator Networks10.3390/jsan1204005612:4(56)Online publication date: 11-Jul-2023
https://doi.org/10.3390/jsan12040056
Faghihian HSargolzaei A(2023)Energy Efficiency of Connected Autonomous Vehicles: A ReviewElectronics10.3390/electronics1219408612:19(4086)Online publication date: 29-Sep-2023
https://doi.org/10.3390/electronics12194086
Santos ORibeiro FMetrôlho JDionísio R(2023)Using Smart Traffic Lights to Reduce CO2 Emissions and Improve Traffic Flow at Intersections: Simulation of an Intersection in a Small Portuguese CityApplied System Innovation10.3390/asi70100037:1(3)Online publication date: 25-Dec-2023
https://doi.org/10.3390/asi7010003
Younes MBoukerche ADe Rango F(2023)SmartLight: A smart efficient traffic light scheduling algorithm for green road intersectionsAd Hoc Networks10.1016/j.adhoc.2022.103061140(103061)Online publication date: Mar-2023
https://doi.org/10.1016/j.adhoc.2022.103061
Younes M(2022)Towards Green Driving: A Review of Efficient Driving TechniquesWorld Electric Vehicle Journal10.3390/wevj1306010313:6(103)Online publication date: 10-Jun-2022
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