• DocumentCode
    2159293
  • Title

    Traffic flow modeling and limitation on the coexistence of WAVE and WLAN

  • Author

    Zhang, Wuxiong ; Zhang, Tingting ; Yang, Yang ; Qian, Hua ; Sun, Yiqing ; Qin, Fei

  • Author_Institution
    Shanghai Institute of Microsystem and Information Technology, CAS, China
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    6536
  • Lastpage
    6540
  • Abstract
    Traffic flow modeling is important to the performance analysis/evaluation of services provided by Vehicular Adhoc Networks (VANET), and is also a useful guidance to the deployment of VANET. Different from prior work based on empirical data collected decades ago, in this work, we collect a large amount of empirical traffic flow data from five typical overhead road segments during two different time periods recently in Shanghai. Statistical results in a short time scale (i.e., within half an hour) show that the lane-level traffic volumes/vehicles´ velocities in the monitored road segments followed truncated Gaussian distribution (with a match rate of roughly 90%) better than Poisson distribution (with a match rate of roughly 80%) which is normally assumed in the literature. Traffic flow characteristic in a long time scale (i.e., in a day or a week) is also presented, which shows that the traffic density in the night and daytime are very different, however, the traffic flow density in the daytime stays high. With the obtained traffic flow characteristics, we discuss the possibility of the coexistence of WAVE and WLAN in 5.9G band according to the Federal Communications Commission´s intention, and point out that for areas in the vicinity of a overhead road inside Outer Ring road in Shanghai, it is not practical for WLAN devices to operate on 5.9G WAVE band.
  • Keywords
    Data models; Gaussian distribution; Roads; Vehicles; Vehicular ad hoc networks; Wireless LAN; Modeling; Traffic Flow; VANET; WAVE; WLAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249366
  • Filename
    7249366