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Simulation-based, Real-time Traffic Flow Prediction for Congestion Pricing
Northeastern University.
2007 (English)Conference paper (Refereed)
Abstract [en]

Traffic congestion is one of the major problems plaguing modern cities, resulting in huge productivity losses, psychological disturbance for the citizens, and adverse direct and indirect impacts to the environment. Congestion pricing is one approach that has been long considered as a promising tool for managing congestion. As the thought matures, more advanced alternatives emerge, e.g. spot pricing or dynamic congestion pricing. However, the complexity of such congestion management methods requires the ability to dynamically predict short-term traffic flows, both without any intervention but –perhaps more importantly– resulting from alternative considered congestion pricing schemes. Simulation-based, real-time traffic flow and prediction systems are appropriate for such uses, as they provide the ability to perform short-term traffic flow predictions in real-time, while explicitly modeling the response of the drivers to the proposed congestion management schemes. This paper outlines the use of traffic flow prediction systems for the development and evaluation of congestion pricing schemes.

Place, publisher, year, edition, pages
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-88169OAI: diva2:502158
International Conference 'Roads of the Future'. Athens, Greece. 8-9 June 2007

TSC import 1998 2012-02-14. QC 20120522

Available from: 2012-02-14 Created: 2012-02-14 Last updated: 2012-10-23Bibliographically approved

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Koutsopoulos, Haris
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