ABSTRACT
Traffic efficiency if one of the key applications of the connected vehicle technology, which uses moving cars as nodes in a network to create a Vehicular Ad hoc Network (VANET). The nodes act as mobile traffic sensors. The technology holds promise for enhancing urban and highway mobility. It is cost-effective alternative to the existing fixed location traffic sensing technologies such as inductive-loop detectors and video image processing systems. In this paper we survey the emerging applications of VANETs for traffic efficiency. We considered green light speed advisory systems, adaptive traffic signals, virtual traffic signals, and cooperative traffic information systems. Topics for future research are suggested. We stress the fact, that due to rebound effects the improvements in traffic efficiency will result in additional vehicle travel (generated traffic). Although net congestion reductions will most likely be observed, it is important to account for rebound effects when evaluating initiatives related to traffic efficiency.
- North Carolina Department of Transportation, {online} $http://www.ncdot.gov/travel/drivegreen.Google Scholar
- {online} $http://news.drive.com.au/drive/motor-news/the-car-that-can-beat-traffic-lights-20130618--2of6n.html.Google Scholar
- {online} http://www.autoevolution.com/news/audi-travolution-project-explained-21294.html.Google Scholar
- H. E. Ajaltouni, A. Boukerche, and R. W. Pazzi. Mobility based dynamic TXOP for vehicular communication. In Proc. 37th Annual IEEE Conference on Local Computer Networks (LCN), pages 376--383, 2012. Google ScholarDigital Library
- J. Anda, J. LeBrun, D. Ghosal, C.-N. Chuah, and M. Zhang. VGrid: vehicular adhoc networking and computing grid for intelligent traffic control. In Proc. IEEE 61st Vehicular Technology Conference (VTC 2005-Spring), volume 5, pages 2905--2909, 2005.Google ScholarCross Ref
- B. Asadi and A. Vahidi. Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time. IEEE Transactions on Control Systems Technology, 19(3):707--714, 2011.Google ScholarCross Ref
- A. Boukerche. Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks. John Wiley and Sons, 2008. Google ScholarDigital Library
- C. Cai, Y. Wang, and G. Geers. Adaptive traffic signal control using vehicle-to-infrastructure communication: a technical note. In Proc. 2nd International Workshop on Computational Transportation Science, pages 43--47. ACM, 2010. Google ScholarDigital Library
- M. Ferreira, R. Fernandes, H. Conceicao, W. Viriyasitavat, and O. Tonguz. Self-organized traffic control. In Proc. 7th ACM international workshop on VehiculAr InterNETworking (VANET), pages 85--90, 2010. Google ScholarDigital Library
- H. Frey, A. Unal, N. Rouphail, and J. Colyar. On-road measurement of vehicle tailpipe emissions using a portable instrument. Journal of the Air & Waste Management Association, 53:992--1002, 2003.Google ScholarCross Ref
- S. Goel, T. Imielinski, and K. Ozbay. Ascertaining viability of WiFi based vehicle-to-vehicle network for traffic information dissemination. In Proc. The 7th International IEEE Conference on Intelligent Transportation Systems (ITSC), pages 1086--1091, 2004.Google ScholarCross Ref
- V. Gradinescu, C. Gorgorin, R. Diaconescu, V. Cristea, and L. Iftode. Adaptive traffic lights using car-to-car communication. In Proc. IEEE 65th Vehicular Technology Conference (VTC2007-Spring), pages 21--25, 2007.Google ScholarCross Ref
- N. Hounsell, B. Shrestha, J. Piao, and M. McDonald. Review of urban traffic management and the impacts of new vehicle technologies. Intelligent Transport Systems, 3(4):419--428, 2009.Google ScholarCross Ref
- I. Iglesias, L. Isasi, M. Larburu, V. Martinez, and B. Molinete. I2V communication driving assistance system: On-board traffic light assistant. In Proc. IEEE 68th Vehicular Technology Conference (VTC 2008-Fall), 2008.Google ScholarCross Ref
- K. Katsaros, R. Kernchen, M. Dianati, D. Rieck, and C. Zinoviou. Application of vehicular communications for improving the efficiency of traffic in urban areas. Wireless Communications and Mobile Computing, 12(11):1657--1667, 2011. Google ScholarDigital Library
- T. Kitani, T. Shinkawa, N. Shibata, K. Yasumoto, M. Ito, and T. Higashino. Efficient VANET-based traffic information sharing using buses on regular routes. In Proc. IEEE 67th Vehicular Technology Conference (VTC2008-Spring), pages 3031--3036, 2008.Google ScholarCross Ref
- P. Koonce. Traffic signal timing manual. Technical Report FHWA-HOP-08-024, U.S. Department of Transportation, 2008.Google Scholar
- T. Kosch, I. Kulp, M. Bechler, M. Strassberger, B. Weyl, and R. Lasowski. Communication architecture for cooperative systems in Europe. IEEE Communications Magazine, 47(5):116--125, 2009. Google ScholarDigital Library
- E. Koukoumidis, L. Peh, and M. R. Martonosi. SignalGuru: leveraging mobile phones for collaborative traffic signal schedule advisory. In Proc. 9th international conference on mobile systems, applications, and services (MobiSys), 2011. Google ScholarDigital Library
- J. Lee and B. Park. Development and evaluation of a cooperative vehicle intersection control algorithm under the connected vehicles environment. IEEE Transactions on Intelligent Transportation Systems, 13(1):81--90, 2012. Google ScholarDigital Library
- I. Leontiadis, G. Marfia, D. Mack, G. Pau, C. Mascolo, and M. Gerla. On the effectiveness of an opportunistic traffic management system for vehicular networks-key. IEEE Transactions on Intelligent Transportation Systems, 12(4):1537--1548, 2011. Google ScholarDigital Library
- D. Levinson. The value of advanced traveler information systems for route choice. Transportation Research part C, 11(1):75--87, 2003.Google Scholar
- C. Li and S. Shimamoto. An open traffic light control model for reducing vehicles' CO2 emissions based on ETC vehicles. IEEE Transactions on Vehicular Technology, 61(1):97--110, 2012.Google ScholarCross Ref
- T. Litman. Generated traffic: Implications for transport planning. ITE, 71(4):38--47, 2001.Google Scholar
- F. Michel and P. M. d'Orey. On the impact of virtual traffic lights on carbon emissions mitigation. IEEE Transactions on Intelligent Transportation Systems, 13(1):284--295, 2012. Google ScholarDigital Library
- V. Milanes, J. Villagra, J. Godoy, J. Simó, J. Pérez, and E. Onieva. An intelligent V2I-based traffic management system. IEEE Transactions on Intelligent Transportation Systems, 13(1):49--58, 2012. Google ScholarDigital Library
- D. Ni, J. Li, S. Andrews, and H. Wang. A methodology to estimate capacity impact due to connected vehicle technology. International Journal of Vehicular Technology, 2012.Google ScholarCross Ref
- H. Rakha and R. K. Kamalanathsharma. Eco-driving at signalized intersections using V2I communication. In Proc. 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pages 341--346, 2011.Google ScholarCross Ref
- H. A. Rakha, R. K. Kamalanathsharma, and K. Ahn. AERIS: Eco-vehicle speed control at signalized intersections using I2V communication. Technical Report FHWA-JPO-12-063, U.S. Department of Transportation, RITA, 2012.Google Scholar
- M. Seredynski, R. Aggoune, W. Mazurczyk, K. Szczypiorski, and D. Khadraoui. Vehicular ad hoc networks for joint traffic and mobility management. In Proc. 5th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT) (to appear), 2013.Google ScholarCross Ref
- M. Seredynski and P. Bouvry. A survey of vehicular-based cooperative traffic information systems. In Proc. 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pages 163--168. IEEE, 2011.Google ScholarCross Ref
- M. Seredynski, B. Dorronsoro, and D. Khadraoui. Comparison of green light optimal speed advisory approaches. In Proc. 16th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2013.Google ScholarCross Ref
- M. Seredynski, W. Mazurczyk, and D. Khadraoui. Multi-segment green light optimal speed advisory. In Proc. IEEE 27th International Parallel and Distributed Processing Symposium Workshops & PhD Forum. IEEE, 2013. Google ScholarDigital Library
- D. D. Silva, T. A. Kosa, S. Marsh, and K. E.-Khatib. Examining privacy in vehicular ad-hoc networks. In Proc. 2nd ACM international symposium on Design and analysis of intelligent vehicular networks and applications (DIVANet), 2012. Google ScholarDigital Library
- P. TalebiFard and V. C. Leung. A content centric approach to dissemination of information in vehicular networks. In Proc. 2nd ACM international symposium on Design and analysis of intelligent vehicular networks and applications (DIVANet), 2012. Google ScholarDigital Library
- T. Tielert, M. Killat, H. Hartenstein, R. Luz, S. Hausberger, and T. Benz. The impact of traffic-light-to-vehicle communication on fuel consumption and emissions. In Proc. Internet of Things (IOT), 2010.Google ScholarCross Ref
- J. Toutouh and E. Alba. Optimizing OLSR in VANETS with differential evolution: A comprehensive study. In Proc. 1st ACM international symposium on Design and analysis of intelligent vehicular networks and applications (DIVANet), 2011. Google ScholarDigital Library
- R. Uzcategui, A. J. de Sucre, and G. Acosta-Marum. Wave: A tutorial. IEEE Communications Magazine, 47(5):126--133, 2009. Google ScholarDigital Library
- J. G. Wardrop. Some theoretical aspects of road traffic research. Proceedings of the Institute of Civil Engineers, Part II, 1:325--378, 1952.Google Scholar
- A. Wegener, H. Hellbruck, C. Wewetzer, and A. Lubke. VANET simulation environment with feedback loop and its application to traffic light assistance. In Proc. IEEE GLOBECOM Workshops, pages 1--7, 2008.Google ScholarCross Ref
- L. Wischof, A. Ebner, H. Rohling, M. Lott, and R. Halfmann. SOTIS - a self-organizing traffic information system. In Proc. 57th IEEE Semiannual Vehicular Technology Conference (VTC2003-Spring), pages 2442--2446, 2003.Google ScholarCross Ref
- L. Wischof, L. Ebner, and H. Rohling. Information dissemination in self-organizing intervehicle networks. IEEE Transactions on Intelligent Transportation Systems, 6(1):90--101, 2005. Google ScholarDigital Library
- M. B. Younes, G. R. Alonso, and A. Boukerche. A distributed infrastructure-based congestion avoidance protocol for vehicular ad hoc networks. In Proc. IEEE Global Communications Conference (GLOBECOM), pages 73--78, 2012.Google ScholarCross Ref
- Z. Zhang, A. Boukerche, and R. W. Pazzi. A novel multi-hop clustering scheme for vehicular ad-hoc networks. In Proc. 9th ACM international symposium on Mobility management and wireless access (MobiWac), pages 19--26, 2011. Google ScholarDigital Library
Index Terms
- The emerging applications of intelligent vehicular networks for traffic efficiency
Recommendations
Traffic Efficiency Applications over Downtown Roads: A New Challenge for Intelligent Connected Vehicles
Vehicular network technology is frequently used to provide several services and applications for drivers on road networks. The proposed applications in the environment of road networks are classified into three main categories based on their functions: ...
A cloud computing based intelligent traffic control system for vehicular networks
NISS '21: Proceedings of the 4th International Conference on Networking, Information Systems & SecurityThe number of vehicles on the road increases permanently causing more and more traffic jam and congestion which results in a lot of delay in arriving at destination. Intelligent transport systems (ITS) have merged as an efficient way to overcome ...
Data Traffic Forwarding for Inter-vehicular Communication in VANETs Using Stochastic Method
In recent years, vehicular ad hoc network (VANET) is an emerging technology for intelligent transportation system by providing its wireless network services to increase the demands of high data rate and traffic. VANET supports for various applications ...
Comments