Literature Database Entry


Erfan Shaghaghi, Ali Jalooli, Rozita Aboki, Alireza Marefat and Rafidah Md Noor, "Intelligent traffic signal control for urban central using Vehicular Ad-Hoc Network," Proceedings of 2014 IEEE Asia Pacific Conference on Wireless and Mobile, Bali, Indonesia, August 2014, pp. 281–286.


communication, The current study proposes a novel real-time traffic signal controlling system which takes advantage of Vehicular Ad-hoc Network (VANET). The proposed system comprises two main phases. The first phase includes estimation of vehicles' density in road segment leading to intersection by utilizing the combination of Vehicle-to-Vehicle (V2V) and assessment, Vehicle-to-Infrastructure (V2I) communication for transferring the acquired information to the Traffic Controller. The second phase contains and analysis of obtained data from the first part to create various adaptive traffic signal cycles to control the traffic congestion. The most distinct capability of this approach which makes it more effective in comparison with its rival approaches, is controlling the traffic flow of vehicles in adjacent intersections by considering the future destination of vehicles and anticipation in traffic signal timing of contiguous intersections. The simulation results demonstrate the efficiency of proposed method in comparison with one of the known VANET-based traffic signal controlling systems methods named MC_DRIVE from the matter of reduction in communication overhead, relative delay of the vehicles in the intersection and estimation., accuracy of vehicles' density

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Erfan Shaghaghi
Ali Jalooli
Rozita Aboki
Alireza Marefat
Rafidah Md Noor

BibTeX reference

    address = {Bali, Indonesia},
    author = {Shaghaghi, Erfan and Jalooli, Ali and Aboki, Rozita and Marefat, Alireza and Noor, Rafidah Md},
    booktitle = {2014 IEEE Asia Pacific Conference on Wireless and Mobile},
    doi = {10.1109/APWiMob.2014.6920297},
    month = {8},
    pages = {281--286},
    title = {{Intelligent traffic signal control for urban central using Vehicular Ad-Hoc Network}},
    year = {2014},

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