Literature Database Entry


Zhizhou Wu, Yiming Zhang, Guishan Tan and Jia Hu, "The research of traffic density extraction method under vehicular ad hoc network environment," Emerald Journal of Intelligent and Connected Vehicles, July 2019.


Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract traffic density directly. In the vehicular ad hoc network (VANET) environment, the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interaction technologies create better conditions for collecting the whole time-space and refined traffic data, which provides a new approach to solving this problem.,On that basis, a real-time traffic density extraction method has been proposed, including lane density, segment density and network density. Meanwhile, using SUMO and OMNet++ as traffic simulator and network simulator, respectively, the Veins framework as middleware and the two-way coupling VANET simulation platform was constructed.,Based on the simulation platform, a simulated intersection in Shanghai was developed to investigate the adaptability of the model.,Most research studies use separate simulation methods, importing trace data obtained by using from the simulation software to the communication simulation software. In this paper, the tight coupling simulation method is applied. Using real-time data and history data, the research focuses on the establishment and validation of the traffic density extraction model.

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Zhizhou Wu
Yiming Zhang
Guishan Tan
Jia Hu

BibTeX reference

    author = {Wu, Zhizhou and Zhang, Yiming and Tan, Guishan and Hu, Jia},
    doi = {10.1108/JICV-01-2019-0003},
    issn = {2399-9802},
    journal = {Emerald Journal of Intelligent and Connected Vehicles},
    month = {7},
    publisher = {Emerald},
    title = {{The research of traffic density extraction method under vehicular ad hoc network environment}},
    year = {2019},

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