• DocumentCode
    2299862
  • Title

    Heterogeneity-Aware Design for Automatic Detection of Problematic Road Conditions

  • Author

    Qin, Hua ; Lu, Xuejia ; Wang, Yanfei ; Wang, Guiling ; Zhang, Wensheng ; Zhang, Yaying

  • Author_Institution
    Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA
  • fYear
    2011
  • fDate
    17-22 Oct. 2011
  • Firstpage
    252
  • Lastpage
    261
  • Abstract
    Improving driving safety is one major objective of forming vehicular ad hoc networks (VANETs). Existing VANETs usually assume drivers detect and report safety-related road conditions. However, drivers may not be willing to perform these duties; even they are, these duties may distract them from driving and thus make driving unsafe. To address the problem, this paper proposes an automatic detection system. By taking advantage of the communication capability of roadside sensors, the proposed system can automatically detect and locate problematic road conditions without any human intervention under varying traffic densities. Extensive simulations have been conducted to verify the efficiency of the proposed system.
  • Keywords
    road safety; vehicular ad hoc networks; VANET; automatic detection system; communication capability; heterogeneity-aware design; human intervention; problematic road conditions; road safety; vehicular ad hoc networks; Aggregates; Estimation; IEEE 802.11 Standards; Relays; Roads; Safety; Vehicles; VANETs; detection; road condition; sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Adhoc and Sensor Systems (MASS), 2011 IEEE 8th International Conference on
  • Conference_Location
    Valencia
  • ISSN
    2155-6806
  • Print_ISBN
    978-1-4577-1345-3
  • Type

    conf

  • DOI
    10.1109/MASS.2011.32
  • Filename
    6076623