Decentralized traffic control and management with intelligent vehicles


Reference:
L.D. Baskar, B. De Schutter, and H. Hellendoorn, "Decentralized traffic control and management with intelligent vehicles," Proceedings of the 9th TRAIL Congress 2006 - TRAIL in Motion - CD-ROM, Rotterdam, The Netherlands, 16 pp., Nov. 2006.

Abstract:
Traffic congestion in highway network is one of the main issues to be addressed by today's traffic management schemes. Further, automation combined with the increasing market penetration of on-line communication, navigation, and advanced driver assistance systems will ultimately result in intelligent vehicle highway systems that offer solutions to the traffic congestion problem and also improve the capacity without building new highways. This paper presents the results of a survey on Intelligent Vehicles (IV) and IV-based control measures which can provide an opportunity for integration within an intelligent roadside infrastructure, and can be used to improve the efficiency, performance, and throughput of traffic flow. We also describe the existing control designs in connection with (IV-based) traffic management and especially focus on model predictive control methods. Building upon our survey results, we also propose a control design framework that uses the selected IV control measures in a decentralized roadside/vehicle traffic management structure. We conclude by pointing out several open issues and possible solution approaches.


Downloads:
 * Corresponding technical report: pdf file (159 KB)
      Note: More information on the pdf file format mentioned above can be found here.


Bibtex entry:

@inproceedings{BasDeS:06-036,
        author={L.D. Baskar and B. {De Schutter} and H. Hellendoorn},
        title={Decentralized traffic control and management with intelligent vehicles},
        booktitle={Proceedings of the 9th TRAIL Congress 2006 -- TRAIL in Motion -- CD-ROM},
        address={Rotterdam, The Netherlands},
        month=nov,
        year={2006}
        }



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