Skip to main content

Urban Traffic Control and Path Planning for Vehicles in Game Theoretic Framework

  • Conference paper
Robot Motion and Control 2007

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 360))

Abstract

Heavy congestion is a major issue in the urban traffic control problem due to the increasing number of vehicles. The main tools to control traffic are the traffic lights at the junctions. Based on the measurement of important traffic properties, the traffic control has to realize an optimal green time distribution for the traffic lights that passes as many vehicles through the network as possible.

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

Access this chapter

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
Softcover Book
USD 169.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. B. Friedrich and E. Almasri. Online offset optimisation in urban networks based on cell transmission model. In Proceedings of the 5th European Congress on Intelligent Transport Systems and Services, Hannover, Germany, 2005.

    Google Scholar 

  2. B. Friedrich. Traffic monitoring and control in metropolitan areas. In Proceedings of the 2nd International Symposium ”Networks for Mobility”, Stuttgart, Germany, 2004.

    Google Scholar 

  3. M. Kaczmarek. Fuzzy group model of traffic flow in street network. Transportation Research Part C, Elsevier Ltd., 13:93–105, 2005.

    Google Scholar 

  4. F. Logi and S. G. Ritchie. Development and evaluation of a knowledge-based system for traffic congestion management and control. Transportation Research Part C, Elsevier Ltd., 9:433–459, 2001.

    Google Scholar 

  5. Y. Chou J. Sheu and M. Weng. Stochastic system modeling and optimal control of incident-induced traffic congestion. Mathematical and Computer Modeling, Elsevier Ltd., 38:533–549, 2003.

    Google Scholar 

  6. N. H. Gartner and C. Stamatiadis. Arterial based control of traffic flow in urban grid networks. Mathematical and Computer Modeling, Elsevier Ltd., 35:657–671, 2002.

    Google Scholar 

  7. K. Aboudolas M. Papageorgiou E. Ben-Shabat E. Seider C. Diakaki, V. Dinopoulou and A. Leibov. Extensions and new applications of the traffic control strategy tuc. In TRB 2003 Annual Meeting, 2003.

    Google Scholar 

  8. V. Dinopoulou, C. Diakiki, and M. Papageorgiou. Applications of urban traffic control strategy tuc. European Journal of Operational Research, 175(3):1652–1665, 2005.

    Google Scholar 

  9. I. Harmati. Game theoretic control algorithms for urban traffic network. WSEAS Transactions on systems and control, 1(2):141–148, 2006.

    Google Scholar 

  10. S. M. LaValle. A game theoretic framework for robot motion planning. PhD thesis, University of Illinois at Urbana-Champaign, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer London

About this paper

Cite this paper

Harmati, I. (2007). Urban Traffic Control and Path Planning for Vehicles in Game Theoretic Framework. In: Kozłowski, K. (eds) Robot Motion and Control 2007. Lecture Notes in Control and Information Sciences, vol 360. Springer, London. https://doi.org/10.1007/978-1-84628-974-3_40

Download citation

  • DOI: https://doi.org/10.1007/978-1-84628-974-3_40

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-973-6

  • Online ISBN: 978-1-84628-974-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics