Proactive Control for Oversaturation Mitigation on Evacuation Network: a Multi-Agent Simulation Approach
Authored by Zhengfeng Huang, Pengjun Zheng, Yanqiang Ma, Guiyan Jiang, Gang Ren
Date Published: 2016
Sponsors:
Chinese National Natural Science Foundation
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Using 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.
Tags
Optimization
Model
transportation
Emergency evacuation
Strategies
System
Quality
Users
Urban evacuation
Signal control