情态动词
公共交通
行人
运输工程
计算机科学
过境(卫星)
比例(比率)
大规模运输
工程类
地理
地图学
工程物理
化学
高分子化学
作者
Jincheng Jiang,Wei Tu,Hui Kong,Wei Zeng,Rui Zhang,Milan Konečný
标识
DOI:10.1109/tits.2022.3198178
摘要
Mass gathering events occur frequently in urban regions. Not only serious traffic jams, but also safety risks are consequently caused. Although many evacuation strategies have been proposed, the spatiotemporal coordination issue of multiple-modal transport tools is not solved well to deal with the efficiency and safety risk during the traditional evacuations. This study presented a large-scale multi-modal transport macro-optimization evacuation model for urban mass gathering events. By taking full advantages of each kind of public transit vehicles and optimizing their spatiotemporal cooperation with pedestrian evacuation, our models can greatly improve the global evacuation efficiency. Experiments on a realistic event was carried to validate the proposed model. The numerical results demonstrated that, under the premise of no increasing additional vehicle supply, the efficiency of proposed multi-modal transport evacuation can be improved by 49.7%, 46.5%, 118.7%, and 20.8%, compared with pure metro-, bus-, taxi-single-modal-transport evacuation, and simulated multi-modal transport evacuation without adequate optimization, respectively. IEEE
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