Skip to main content

Traffic Aware Route Planning in Dynamic Road Networks

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7238))

Abstract

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Deng, K., Zhou, X., Shen, H.T.: Multi-source skyline query processing in road networks. In: ICDE 2007, pp. 796–805. IEEE (2007)

    Google Scholar 

  2. Ding, B., Yu, J.X., Qin, L.: Finding time-dependent shortest paths over large graphs. In: EDBT 2008, pp. 205–216. ACM (2008)

    Google Scholar 

  3. Gunturi, V.M.V., Nunes, E., Yang, K., Shekhar, S.: A Critical-Time-Point Approach to all-Start-Time Lagrangian Shortest Paths: A Summary of Results. In: Pfoser, D., Tao, Y., Mouratidis, K., Nascimento, M.A., Mokbel, M., Shekhar, S., Huang, Y. (eds.) SSTD 2011. LNCS, vol. 6849, pp. 74–91. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  4. Hua, M., Pei, J.: Probabilistic path queries in road networks: traffic uncertainty aware path selection. In: EDBT 2010, pp. 347–358. ACM (2010)

    Google Scholar 

  5. Kanoulas, E., et al.: Finding fastest paths on a road network with speed patterns. In: ICDE 2006, p. 10. IEEE (2006)

    Google Scholar 

  6. Kriegel, H.-P., Renz, M., Schubert, M.: Route skyline queries: A multi-preference path planning approach. In: ICDE 2010, pp. 261–272. IEEE (2010)

    Google Scholar 

  7. Li, F.-f., Cheng, D., Hadjieleftheriou, M., Kollios, G., Teng, S.-H.: On Trip Planning Queries in Spatial Databases. In: Medeiros, C.B., Egenhofer, M., Bertino, E. (eds.) SSTD 2005. LNCS, vol. 3633, pp. 273–290. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Malviya, N., Madden, S., Bhattacharya, A.: A continuous query system for dynamic route planning. In: ICDE 2011, pp. 792–803. IEEE Computer Society (2011)

    Google Scholar 

  9. Rice, M.N., Tsotras, V.J.: Graph indexing of road networks for shortest path queries with label restrictions. PVLDB 4(2), 69–80 (2010)

    Google Scholar 

  10. Xiao, Y., et al.: Efficiently indexing shortest paths by exploiting symmetry in graphs. In: EDBT 2009, pp. 493–504. ACM (2009)

    Google Scholar 

  11. Potamias, M., et al.: Fast shortest path distance estimation in large networks. In: CIKM 2009, pp. 867–876. ACM (2009)

    Google Scholar 

  12. Gao, J., et al.: Fast top-k simple shortest paths discovery in graphs. In: CIKM 2010, pp. 509–518. ACM (2010)

    Google Scholar 

  13. Likhachev, M., et al.: Anytime dynamic A*: An anytime, replanning algorithm. In: ICAPS 2005, pp. 262–271 (2005)

    Google Scholar 

  14. Bast, H., et al.: In transit to constant time shortest-path queries in road networks. In: ALENEX (2007)

    Google Scholar 

  15. Koenig, S., Likhachev, M., Furcy, D.: Lifelong planning A*. Artif. Intell. 155(1-2), 93–146 (2004)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xu, J., Guo, L., Ding, Z., Sun, X., Liu, C. (2012). Traffic Aware Route Planning in Dynamic Road Networks. In: Lee, Sg., Peng, Z., Zhou, X., Moon, YS., Unland, R., Yoo, J. (eds) Database Systems for Advanced Applications. DASFAA 2012. Lecture Notes in Computer Science, vol 7238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29038-1_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29038-1_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29037-4

  • Online ISBN: 978-3-642-29038-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics