Analysis of Traffic Conditions Prediction at the Incident Congestion on Tokyo Metropolitan Expressway

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.