MICE: A real-time traffic estimation based vehicular path planning solution using VANETs

Zongjian He, Jiannong Cao, Tao Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

20 Citations (Scopus)


Dynamic vehicular path planning using real-time traffic information have attracted the interest for both academic and industry. How to collect traffic information and make path planning decisions accordingly are two major problems. Existing works have addressed these issues using centralized or infrastructure based traffic collection approaches. However, existing works have certain weaknesses on efficiency and effectiveness. This paper introduced a novel dynamic vehicular path planning solution. The proposed solution does not rely on infrastructures to collect traffic information. Meanwhile, It utilizes density-speed traffic flow model to predict the traffic condition. In addition, a dynamic candidate path selection algorithm is developed to reduce the redundant data collection overhead. Extensive evaluations using large scale traffic trace based simulation have been performed. The results show that our solution outperforms some existing solutions in terms of communication efficiency and path planning effectiveness.
Original languageEnglish
Title of host publicationProceedings - 2012 International Conference on Connected Vehicles and Expo, ICCVE 2012
Number of pages7
Publication statusPublished - 1 Dec 2012
Event2012 1st International Conference on Connected Vehicles and Expo, ICCVE 2012 - Beijing, China
Duration: 12 Dec 201216 Dec 2012


Conference2012 1st International Conference on Connected Vehicles and Expo, ICCVE 2012


  • Dynamic path planning
  • Traffic data collection
  • Vehicle speed estimation

ASJC Scopus subject areas

  • Automotive Engineering

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