Traffic Aware Route Planning in Dynamic Road Networks

  • Jiajie Xu
  • Limin Guo
  • Zhiming Ding
  • Xiling Sun
  • Chengfei Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7238)


The current widespread use of GPS navigations and trip planning on web has aroused great interests in fast and scalable path query processing. Recent research has mainly focused on static route optimisation where the traffic network is assumed to be stable. However in most cases, route planning is in presence of frequent updates to the traffic graph due to the dynamic nature of traffic network, and such updates always greatly affect the performance of route planning. Most existing methods, however, cannot effectively support traffic aware route planning. In this paper, a new strategy is proposed to handle this problem. We analysis the traffic condition on the road network and explore spatial-temporal knowledge to guide effective route planning. In particular, a set of effective techniques are used to avoid both unnecessary calculations on huge graph and excessive re-calculations caused by traffic condition updates. A comprehensive experiment is also conducted to evaluate the strategy performances.


Road Network Query Processing Road Segment Road Condition Route Planning 
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 2012

Authors and Affiliations

  • Jiajie Xu
    • 1
  • Limin Guo
    • 1
    • 3
  • Zhiming Ding
    • 1
  • Xiling Sun
    • 1
    • 3
  • Chengfei Liu
    • 2
  1. 1.Intsitute of SoftwareChinese Academy of SciencesChina
  2. 2.Faculty of ICTSwinburne University of TechnologyAustralia
  3. 3.Graduate University of Chinese Academy of SciencesChina

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