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An Urban Area-Oriented Traffic Information Query Strategy in VANETs

  • Xinjing Wang
  • Longjiang Guo
  • Chunyu Ai
  • Jinbao Li
  • Zhipeng Cai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7992)

Abstract

Traffic information query in Vehicular Ad Hoc Network has various significant applications. Real-time traffic information can provide support for users to choose an optimal route according to current traffic situation. In this paper, we propose an urban area-oriented traffic information query processing mechanism, which can acquire the realtime traffic information of multiple paths from source to destination in relatively fast and accurate manner, and help users to determine an optimal route. The proposed mechanism includes two key algorithms - query dissemination and processing, and routing results backward to query requester. The query processing algorithm determines the scope of each query, so that a vehicle can query and collect data within a certain efficient scope to avoid returning overwhelmed large amount results. For queried vehicles, returning results to the moving query requester is a dynamic routing problem. We proposed a position predicting method to estimate the current location of the requester according to the information stored in the query packet. Simulation results show that the proposed strategy can improve the efficiency of data transmission, and the returned query results is effective for choosing an optimal route.

Keywords

Wireless Sensor Network Smart Grid Optimal Route Good Path Vehicular Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Xinjing Wang
    • 1
  • Longjiang Guo
    • 1
    • 2
  • Chunyu Ai
    • 3
  • Jinbao Li
    • 1
    • 2
  • Zhipeng Cai
    • 4
  1. 1.School of Computer Science and TechnologyHeilongjiang UniversityHeilongjiangChina
  2. 2.Key Laboratory of Database and Parallel ComputingHeilongjiang UniversityHeilongjiangChina
  3. 3.Division of Math & Computer ScienceUniversity of South Carolina UpstateUSA
  4. 4.Department of Computer ScienceGeorgia State UniversityAtlantaUSA

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