SEISAN KENKYU
Online ISSN : 1881-2058
Print ISSN : 0037-105X
ISSN-L : 0037-105X
Research Review
Analysis of Traffic Conditions Prediction at the Incident Congestion on Tokyo Metropolitan Expressway
Yuji TAMURAHiroshi WARITATakahisa INATOMINaoki FUNAOKAKou SATORyota HORIGUCHITomoyoshi SHIRAISHIMasao KUWAHARA
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2013 Volume 65 Issue 2 Pages 187-193

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Abstract
The traffic control system of the Tokyo Metropolitan Expressway is considering an implementation of the online short-term prediction by the real-time simulation. Some modules for making exact traffic conditions prediction at the incident congestion -“Emergent Bottleneck Detection", “Lane Blockade Time", “Road Capacity", “On-Ramp Traffic Volume Change", and “Off-Ramp Conversion"-were developed. This research reports the result of having analyzed the influence which those modules have on the predictive simulation.
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© 2013 Institute of Industrial Science The University of Tokyo
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