Abstract
AbstractUsing a multi-agent simulation approach composing of evacuee, cell, and signal, this study aims to proactively curb the oversaturation spread in evacuation and improve the evacuation efficiency. The specific innovation lies in the en-route path choice model and oversaturation control model. A logit model incorporating fuzzy multi-attribute utility is used to describe the path choice. A three-threshold throttling strategy is proposed to assign signal parameters for oversaturated intersections. A case study demonstrates that the multi-attribute utility performs effectively in the presentation of uncertain route-choice factors under evacuation background. The throttling strategy can decrease the total evacuation time by 7.6% in the supposed scenario.
Highlights
Natural disasters and man-made emergency events have brought large loss to the world
It is believed by traffic managers that improving evacuation efficiency of traffic network is a way to reduce the loss in emergency events
Two steps are planned for the signal control in the evacuation network: all signal intersections are initialized with general control; and throttling strategy will replace the general control for all the selected oversaturated intersections
Summary
Natural disasters and man-made emergency events have brought large loss to the world. A time-saving method to control oversaturation is needed when coordinating regional intersections simultaneously Another shortcoming of these approaches is that the single threshold embedded in the incorporated throttling strategy is liable to cause excessive state switching. Liu et al (2003) proposed a fuzzy dynamic traffic assignment model [12]; its innovation point lies in that the fuzzy membership function is borrowed to represent the uncertain travel time in route choice They do not apply the fuzzy aggregation exactly because only single attribute is used in their route-choice utility. Few studies in regard to the combination studies of multi-agent traffic control with evacuation route choice can be found in the literature. The interplay between route choice behavior and signal optimization is considered in our M-ABM for oversaturation mitigation on evacuation network. This throttling strategy modifies the excessive state switching problem and takes interactions of neighbor intersections into account
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