Advertisement

Vehicular Traffic Control: A Ubiquitous Computing Approach

  • Naishadh K. Dave
  • Vanaraj B. Vaghela
Part of the Communications in Computer and Information Science book series (CCIS, volume 40)

Abstract

Vehicular traffic is a major problem in modern cities. We collectively waste huge amounts of time and resources while travelling through traffic congestion. Significant savings of fuel and time could be achieved if traffic control mechanism could be effectively discovered. With the advent of increasingly sophisticated traffic management systems, such as those incorporating dynamic traffic assignments, more stringent demands are being placed upon the available real time traffic data.

To address the problem of real time traffic data availability and processing needs, we propose a method which uses novel concept of ubiquitous computing (ubicomp) which uses ubiquitous database and intelligent agents for traffic data management. The concept of ubicomp is shifting computing paradigm from machines in a room to the augmented contexts in the real world. Ubiquitous database will make data everywhere available automatically, and it augments object that manages information about itself. The proposed system uses URA (Unique Routing Agent) to handle the distribution of database, route discovery and route maintenance. The method has been simulated for the measurement of traffic related parameters like traffic load, occupancy and trip time.

Keywords

URA (Unique Routing Agent) Ubiquitous computing (Ubicomp) Ubiquitous database 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Manvi, S.S., Venkataram, P.: Applications of agent technology in communications: A review. Computer communications 27, 1493–1508 (2004)CrossRefGoogle Scholar
  2. 2.
    Kuramitsu, K., Sakamura, K.: Towards ubiquitous database in mobile commerce. In: MobiDe 2001: Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access, pp. 84–89. ACM Press, New York (2001)Google Scholar
  3. 3.
    Basu, P., Little, T.D.C.: Database-centered architecture for traffic incident detection, management, and analysis. In: Intelligent Transportation Systems (ITS), pp. 149–154 (2000) ISBN: 0-7803-5971-2Google Scholar
  4. 4.
    Marca, J.E., Rindt, C.R., Jayakrishnan, R.: A Method for Creating a Real-time, Distributed Travel History Database. Journal of the Transportation Research Board (1972), 69–77 (2006) ISSN:0361-1981Google Scholar
  5. 5.
    Krogh, C., Irgens, M., Tmtteber, H.: A Novel Architecture for Traffic Control. In: The 3rd International Conference on Vehicle Navigation & Information Systems. IEEE, Los Alamitos (1992)Google Scholar
  6. 6.
    Martin Rowell, J.: Applying Map Databases to Advanced Navigation and Driver Assistance Systems. Journal of Navigation (2001)Google Scholar
  7. 7.
    Kosonen, I., Bargiela, A.: A Distributed Traffic Monitoring and Information System. Journal of Geographic Information and Decision Analysis 3(1), 31–40 (1999)Google Scholar
  8. 8.
    Nadeem, T., Dashtinezhad, S., Liao, C., Iftode, L.: TrafficView: traffic data dissemination using car-to-car communication. In: SIGMOBILE Mob. Comput. Commun. Rev., vol. 8, pp. 6–19. ACM Press, New York (2004)Google Scholar
  9. 9.
    Yang, X., Recker, W.: Modeling Dynamic Vehicle Navigation in a Self-organizing, Peer-to-peer, Distributed Traffic Information System. Journal of Intelligent Transportation Systems 10(4), 185–204 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Naishadh K. Dave
    • 1
  • Vanaraj B. Vaghela
    • 1
  1. 1.EC DepartmentSankalchand Patel College of EngineeringVisnagarIndia

Personalised recommendations