A simulation-based multiclass, multimodal traffic assignment model with departure time for evaluating traffic control plans of planned special events

Abstract

Abstract Different types of traffic control plans can be proposed to reduce the traffic impact of planned special events. The simulation-based, multi-class, multi-modal traffic assignment model with departure time windows can be used to forecast the occurrence time and the level of traffic congestion produced by a planned special event. Using Cube Voyager, a mesoscopic and systematic assessment tool is developed to explore participant behaviours of planned special event for mode and departure time window choices, evaluate event scenarios, and duplicate what happened during previous planned special events for a better understanding of the related issues. Peak traffic volumes and traffic congestion generated by the planned special event are successfully estimated in this study. The impacts of a planned special event and the mitigation measures for various traffic control plans are also established successfully in this study. How far restrictions on turning movements are needed, when traffic control needs to start, and what value there is in the headway of feeder buses needs are also determined in these stage-by-stage traffic control plans.