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Efficient route search on hierarchical dynamic road networks

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Abstract

The widespread use of GPS navigations and trip planning on web has aroused considerable interests in fast and scalable path query processing. Existing research has mostly focused on static route optimization where the traffic network is assumed to be stable. Nevertheless, in most cases, route planning is in the 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 efficiently support traffic aware route planning. In this paper, two efficient strategies are proposed to handle this problem. We analyze the traffic condition on the road network and explore spatio-temporal knowledge to guide effective route planning. In particular, several effective techniques are employed 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 performance of our proposed strategies.

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Acknowledgments

The research work reported in this paper was partly supported by the NSFC projects under grant numbers 61232006, 91124001, 61379033, 61003049, 61073061, and 61202064, the Fundamental Research Funds for the Central Universities under Grant 2013QNA5020, the Key Project of Zhejiang University Excellent Young Teacher Fund (Zijin Plan), and ARC discovery project under grant number DP120102627.

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Authors and Affiliations

  1. School of Computer Science, Soochow University, Suzhou, China

    Jiajie Xu & Lei Zhao

  2. College of Computer Science, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China

    Yunjun Gao

  3. Faculty of ICT, Swinburne University of Technology, Melbourne, VIC, Australia

    Chengfei Liu

  4. Institute of Software, Chinese Academy of Sciences, Beijing, China

    Zhiming Ding

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  1. Jiajie Xu
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  2. Yunjun Gao
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  3. Chengfei Liu
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  4. Lei Zhao
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  5. Zhiming Ding
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Corresponding author

Correspondence to Yunjun Gao.

Additional information

A preliminary version of this work has been published in [28]. Substantial new technical materials have been added to this journal submission. In particular, we propose two novel route search strategies on the hierarchy of dynamic road network, as explicitly pointed out in Sect. 2 of this paper.

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Xu, J., Gao, Y., Liu, C. et al. Efficient route search on hierarchical dynamic road networks. Distrib Parallel Databases 33, 227–252 (2015). https://doi.org/10.1007/s10619-014-7146-x

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