Skip to main content

A Q-Based Framework for Demand Bus Simulation

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

Abstract

With the development of telecom, it becomes possible to provide people with Location Based Service (LBS) according to their spatial positions by using mobile equipments. Before using such services, people should evaluate them and make suitable strategies. Demand Bus System is attracting attention as a new public transportation system that provides convenient transportation for special services while solving traffic jams in urban areas. Previous researches focused on the algorithms to the dial-a-ride problem, and few works did on evaluating the usability of the demand bus system. In this paper we proposed a Q-based multi-agent simulation framework for this purpose and implemented a prototype system.

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   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Hunsaker, B., Savelsbergh, M.: Efficient feasibility testing for dial-a-ride problems. Operations research letters 30, 169–173 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  2. Diana, M., Dessouky, M.M.: A new regret insertion heuristic for solving large-scale dial-aride problems with time windows. Transportation Research Part B 38, 539–557 (2004)

    Article  Google Scholar 

  3. Healy, P., Moll, R.: A new extension of local search applied to the Dial-A-Ride Problem. European Journal of Operational Research 83, 83–104 (1995)

    Article  MATH  Google Scholar 

  4. Ishida, T.: Q: A Scenario Description Language for Interactive Agents. IEEE Computer 35 (2002)

    Google Scholar 

  5. Ishida, T.: Digital City Kyoto: Social Information Infrastructure for Everyday Life. Communications of the ACM (CACM) 45(7), 76–81 (2002)

    Article  Google Scholar 

  6. Ishida, T., Nakanishi, H., Takata, S.: Crisis Management Simulation in Digital City. Journal of the Institute of Systems, Control and Information Engineers (2002)

    Google Scholar 

  7. Buyya, R., et al.: Economic Models for Resource Management and Scheduling in Grid Computing. The Journal of Concurrency and Computation: Practice and Experience, CCPE (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, Z., Zhu, C., Sheng, H., Ding, P. (2004). A Q-Based Framework for Demand Bus Simulation. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_155

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30497-5_155

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics