Heterogeneity-aware design for automatic detection of problematic road conditions

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
Pages252-261
Number of pages10
DOIs
StatePublished - 2011
Event8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011 - Valencia, Spain
Duration: Oct 17 2011Oct 22 2011

Publication series

NameProceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011

Other

Other8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011
CountrySpain
CityValencia
Period10/17/1110/22/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

Keywords

  • VANETs
  • detection
  • road condition
  • sensor

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