A new Traffic Congestion Detection Algorithm using Vehicle-to-Vehicle Communications | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 8, Volume 25, Issue 2, July 2016, Page 227-246 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2016.64109 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Heba EL-SERSY; Ayman EL-SAYED
| ||||
| Dept. of Computer Science and Eng., Faculty of Elect., Eng., Menoufia University | ||||
| Abstract | ||||
| Traffic Congestion in Egypt roads is the same problem facing many cities around the world where traffic congestion has a great challenge both on traffic safety and environment population. The solutions that already exist are based on infrastructure equipments used to detect traffic congestion and try to solve this problem such as electronic traffic lights and smart cameras. All the infrastructure systems have the limitations of high deployment costs and limited coverage. This paper aims to the development of traffic congestion detection system by proposing a new vehicle-to-vehicle (V2V) congestion detection algorithm. The new algorithm based only on vehicles without any need for additional infrastructure. The proposed algorithm called TCD where each vehicle collects traffic information in the road and exchanges it with other vehicles. According to the information saved by each vehicle, the vehicle analyzes this information and determines the congestion occurrence. When congestion occurs vehicles send warning messages to other vehicles so they can avoid congestion area and change their route. The new algorithm namely (TCD) from simulation results provide more awareness about traffic congestion with less messages exchanged. | ||||
| References | ||||
|
th: 0px; "> [1] JOBIN MATHEW: Mobility Model for Vehicular Ad Hoc Networks, a Survey and Taxonomy, (2009/2011). [2] Mohammad M. Abdellatif: A Brief Summary on the Main Aspects and Challenges of Vehicular Ad-Hoc Networks (VANETs), Instituto de Engenharia de Sistemas e Computadores do Porto - (INESC Porto) Porto, Portugal. [3] Heba El-sersy, Ayman EL-SAYED, "Survey of Traffic Congestion Detection using VANET", Communications on Applied Electronics (CAE)– ISSN : 2394-4714 Foundation of Computer Science FCS, New York, USA Vol. 1,– No.4, March 2015. [4] Yasser Toor, Paul Mühlethaler:Vehicle Ad Hoc Networks: Applications And Related Technical Issues, IEEE Communications, 3rd Quarter (2008). [5] Junya Fukumoto, Naoto Sirokane:Analytic method for real-time traffic problems by using Contents Oriented Communications in VANET, Faculty of Engineering, Kansai University, (2007). [6] T. Nadeem, S. Dashtinezhad: TrafficView: traffic data dissemination using car-to-car communication, ACM Sigmobile Mobile Computing and Communications Review, Special Issue on Mobile Data Management, July (2004) [7] J. Miller, Vehicle-to-vehicle-to-infrastructure (V2V2I) intelligent transportation system architecture, in: Proc. IEEE Intelligent Vehicles Symposium, Eindhoven (The Netherlands), June (2008) [8] Jeffrey Miller: Fastest Path Determination at Lane Granularity using a Vehicle-to-Vehicle-to-Infrastructure (V2V2I) Intelligent Transportation System Architecture, Department of Computer Systems Engineering, University of Alaska, Anchorage ,(2008) [9] Sandor Dornbush and Anupam Joshi: StreetSmart Traffic: Discovering and Disseminating Automobile Congestion Using VANET’s, University of Maryland Baltimore County ,(2007) [10] S. Vaqar, O. Basir, Traffic pattern detection in a partially deployed vehicular ad hoc network of vehicles, IEEE Wireless Communications Magazine, vol.16, no.6, pp.40-46, December (2009) [11] L. Wischof, A. Ebner, H. Rohling, M. Lott, and R. Halfmann, “SOTIS - a self-organizing traffic information system,” in Proc. The 57th IEEE Semiannual Vehicular Technology Conference (VTC2003-Spring), (2003) [12] The Network Simulator- ns-2: http://www.isi.edu/nsnam/ns "> [13] Francisco M. Padron: Traffic Congestion Detection Using VANET, The College of Engineering and Computer Science, Florida Atlantic University, April 2009. [14] Java in Simulation Time / Scalable Wireless Ad hoc Network Simulator: http://jist.ece.cornell.edu [15] STRAW - STreet RAndom Waypoint - vehicular mobility model for network simulations. [Online] www.aqualab.cs.northwestern.edu/projects/STRAW/. [16] L. Lin, T. Osafune: Road congestion detection by distributed vehicle-tovehicle communication systems, European Patent EP 1 895 485 A1, March (2008) [17] Hannes Hartenstein: A Tutorial Survey on Vehicular Ad Hoc Networks. IEEE Communications Magazine, June (2008) . [18] M. Gerla, L. Kleinrock, Vehicular networks and the future of the mobile internet, Comput. Netw. (2011). [19] Buddhika Maitipe,Umair Ibrahim,M. Imran Hayee: Development and Field Demonstration of DSRC Based V2V Assisted V2I Traffic Information System for the Work Zone, Department of Electrical and Computer Engineering University of Minnesota Duluth, (2011) [20] Veins: http://veins.car2x.org/ [21] SUMO–Simulation of Urban Mobility: http://www.dlr.de/ts/en [22] OMNET++: https://omnetpp.org/ [23] Open Street Map: https://www.openstreetmap.org/ | ||||
|
Statistics Article View: 138 |
||||
