Skip to main content

Research on the Optimal Transit Route Selection Model and Automatic Inquiry System

  • Conference paper
  • 1498 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 106))

Abstract

An optimal transit route selection problem is studied in this paper. Since the data are abundant, it is unfavorable to use conventional method. We put forward a concept of bus cluster and establish a network graph theory model by means of the "radiation" and "sweeps" methods. Based on the platform of the software Delphi and Object Pascal program, we develop an automatic query system which provides a user interface with complete function and convenient operation. Through this interface, the best route between any two transit stations can be quickly inquired in different needs. Consequently, the optimal transit route selection problem is solved.

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   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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. Peng, Z.R.: A methodology for design of GIS-based automatic transit traveler information systems. Computers Environment and Urban Systems 21(5), 359–372 (1997)

    Article  Google Scholar 

  2. Dong, Z.: Mathematical modeling and practice. Defense Industry Press, Beijing (2006) (in Chinese)

    Google Scholar 

  3. Peng, Z., Huang, R.: Design and development of interactive trip planning for web-based transit information systems. Transportation Research Part C: Emerging Technologies 8(1), 409–425 (2000)

    Article  MathSciNet  Google Scholar 

  4. Kaufman, D., Smith, R.: Fastest paths in time-dependent networks for intelligent vehicle–highway systems application. Intelligent Vehicle–Highway Systems Journal 1, 1–11 (1993)

    Google Scholar 

  5. Gallo, G., Pallottino, S.: Shortest path methods: a unifying approach. Mathematical Programming Study 26, 38–64 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  6. Sherali, H.D., Hill, J.M.: Reverse time-restricted shortest paths: Application to air traffic management. Transportation Research Part C: Emerging Technologies 17, 631–641 (2009)

    Article  Google Scholar 

  7. Chabini, I.: Discrete dynamic shortest path problems in transportation applications: complexity and algorithms with optimal run time. Transportation Research Record 1645, 170–175 (1998)

    Article  Google Scholar 

  8. Casey, R.F., Labell, L.N., Prensky, S.P., Schweiger, C.L.: Advanced Public Transportation Systems: The State of the Art Update 1998. In: Federal Transit Administration, Washington (1998)

    Google Scholar 

  9. Chriqui, C., Robillard, P.: Common bus lines. Transportation Science 9, 115–121 (1975)

    Article  Google Scholar 

  10. Arnold, P., Peeters, D., Thomas, I.: Modelling a rail/road intermodal transportation system. Transportation Research Part E: Logistics and Transportation Review 40(3), 255–270 (2004)

    Article  Google Scholar 

  11. Kane, L., Verma, B., Jain, S.: Vehicle tracking in public transport domain and associated spatio-temporal query processing. Computer Communications 12, 2862–2869 (2008)

    Article  Google Scholar 

  12. Tacconi, D., Miorandi, D., Carreras, I., Chiti, F., Fantacci, R.: Using wireless sensor networks to support intelligent transportation systems. Ad Hoc Networks 5, 462–473 (2010)

    Article  Google Scholar 

  13. Bohli, J., Hessler, A., Ugus, O., Westhoff, D.: A secure and resilient WSN roadside architecture for intelligent transport systems. In: Proc. of WiSec, pp. 161–171 (2008)

    Google Scholar 

  14. Lan, K., Wu, Z.: On the feasibility of using public transport as data mules for traffic monitoring. In: Intelligent Vehicles Symposium, pp. 979–984. IEEE, Los Alamitos (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cao, J. (2010). Research on the Optimal Transit Route Selection Model and Automatic Inquiry System. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16339-5_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16339-5_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16338-8

  • Online ISBN: 978-3-642-16339-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics