Mobile and Ubiquitous Systems: Computing, Networking, and Services. 9th International Conference, MobiQuitous 2012, Beijing, China, December 12-14, 2012. Revised Selected Papers

Research Article

Traffic Density Estimation Protocol Using Vehicular Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-40238-8_1,
        author={Adnan Mian and Ishrat Fatima and Roberto Beraldi},
        title={Traffic Density Estimation Protocol Using Vehicular Networks},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 9th International Conference, MobiQuitous 2012, Beijing, China, December 12-14, 2012. Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2013},
        month={9},
        keywords={Vehicular networks traffic congestion wireless ad hoc networks},
        doi={10.1007/978-3-642-40238-8_1}
    }
    
  • Adnan Mian
    Ishrat Fatima
    Roberto Beraldi
    Year: 2013
    Traffic Density Estimation Protocol Using Vehicular Networks
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-642-40238-8_1
Adnan Mian1,*, Ishrat Fatima1,*, Roberto Beraldi2,*
  • 1: National University of Computer and Emerging Sciences
  • 2: Università di Roma “La Sapienza”
*Contact email: adnan.noor@nu.edu.pk, ishrat.fatima@nu.edu.pk, beraldi@dis.uniroma1.it

Abstract

Traffic density estimates on maps not only assist drivers to decide routes that are time and fuel economical due to less congestions and but also help in preventing accidents that may occur due to the lack of not being able to see far ahead. In this paper, we propose a protocol that exploit vehicle-to-vehicle ad hoc communication for the estimation of vehicular density and the amount of congestion on roads. The protocol forms cluster heads by a voting algorithm. These cluster heads aggregate density information and spread it to the network via few selected forwarding vehicles. The protocol does not assume all vehicles to be equipped with Global Positioning System. We analytically study the cluster head formation part of the protocol and then simulate the proposed protocol using network simulator NS2 to understand different characteristics of the protocol.