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Finding Critical Traffic Control Locations for Emergency Evacuation
ZHANG Xiong-fei, SHI Qi-xin, HE Rachel, BAN Jeff
2011, 11(3):
138-143.
This paper aims to explore mass evacuation problem of large-scale road network in the event of natural or man-made disasters, such as earthquakes and hurricanes. Under emergency evacuation, traffic control devices and personnel are limited. It is impossible to control all the traffic nodes on the network. Therefore, it is crucial to find the most critical traffic control locations or intersections to deploy control devices or arrange manual evacuation guidance, so that the best system performance can be achieved. In order to answer the urgent theoretical and practical deployment problems, this study proposes a mixed integer nonlinear programming (MINLP) model, which aims to identify the most crucial intersections, and simultaneously, the optimal traffic control strategies at those locations, to minimize the total system costs. Numerical example shows that the model performs reasonably well, and with the appropriate set of critical intersections controlled, the resulting system performance does approach the system optimal state with all intersections under control.
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