Identification of Parameters and Sensor Technology for Vehicular Traffic - A Survey

Speed of vehicular travel is continually reducing; Reasons being increasing vehicle population rendering the road capacity inadequate. The achievable speeds in vehicles are not attained because of traffic congestion, rendering automotive developments ineffective. Vehicles emit CO2, which increases during low speeds and idling resulting in denser CO2 cloud, thereby contributing to global warming. Congestion is one of the fundamental reasons for accidents. This makes vehicular traffic congestion a confronting facet to growing economy and pollution and justifiably deserves eminent priority. This paper studies the present congestion mitigating sensor technologies and the parameters measured. It describes "Parameters of Significance (POS)" for accurate measurement and defines a roadmap of sensor technology to realize accurate measurement and monitoring. A detailed comparison of sensor technology to manage the POS is carried out with a view to realize at affordable cost, with minimal efforts and achieve large foot print. The proposed sensors collate the parameters and are subjected to decision making systems for enabling vehicular traffic decongestion strategies. The key technologies are sensor networks and parameter collating methodologies. Summarizing, the paper evolves POS and their monitoring tools with an endeavor is to arrive at holistic solution and lay-down scope for future work. Language: en

[1]  Ozan K. Tonguz,et al.  Adaptive beaconing for delay-sensitive and congestion-aware traffic information systems , 2010, 2010 IEEE Vehicular Networking Conference.

[2]  F. M. Padrón Traffic congestion detection using VANET , 2009 .

[3]  Karine Zeitouni,et al.  Proactive Vehicular Traffic Rerouting for Lower Travel Time , 2013, IEEE Transactions on Vehicular Technology.

[4]  L. G. Malik,et al.  Speed range prediction for subsequent intersections , 2013, 2013 7th International Conference on Intelligent Systems and Control (ISCO).

[5]  Somprakash Bandyopadhyay,et al.  Road traffic congestion monitoring and measurement using active RFID and GSM technology , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[6]  Javier Gozálvez,et al.  Road traffic congestion detection through cooperative Vehicle-to-Vehicle communications , 2010, IEEE Local Computer Network Conference.

[7]  Kai-Tai Song,et al.  Real-time image tracking for traffic monitoring , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[8]  Wisnu Jatmiko,et al.  Mobile phones as traffic sensors with map matching and privacy considerations , 2012, 2012 International Symposium on Micro-NanoMechatronics and Human Science (MHS).

[9]  Biplav Srivastava,et al.  Sensor subset selection for traffic management , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[10]  W. Jatmiko,et al.  Development of traffic sensor system with virtual detection zone , 2012, 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS).

[11]  Roland Chrobok,et al.  A High‐Resolution Cellular Automata Traffic Simulation Model with Application in a Freeway Traffic Information System , 2004 .

[12]  Anupam Joshi,et al.  StreetSmart Traffic: Discovering and Disseminating Automobile Congestion Using VANET's , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.