Introduction

Abstract

AbstractThe population of an urban area may be in danger due to natural or man-made disasters like floods, hurricanes, chemical or nuclear accidents. This requires decisions to protect health and lives of the affected population. A measure to protect the population may be the evacuation of the affected area. Congested urban areas have usually complex street networks that are composed of many intersections with streets which connect them. There are various types of intersections and the streets consist of differing numbers of lanes. The population density of a congested urban area is usually high and the street network is already used to capacity during rush hour traffic. The basic idea is to reorganize the traffic routing of an urban area for the case of an emergency mass evacuation such that aspects of the evacuation like safety, avoidance of delays and/or the total system travel time are taken into account. In this work, the reorganization of the traffic routing will be modeled and solved with tools of mathematical programming.KeywordsStreet NetworkStreet SegmentEvacuation TimeSuper NodeNetwork Flow ModelThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.