Using multi-agent simulation to predict natural crossing points for pedestrians and choose locations for mid-block crosswalks
作者机构：Institute for Design and Urban StudiesITMO UniversitySaint PetersburgRussia
出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)
年 卷 期：2020年第23卷第4期
页 面：362-374页
核心收录：
学科分类：0303[法学-社会学] 0709[理学-地质学] 08[工学] 0708[理学-地球物理学] 082303[工学-交通运输规划与管理] 0705[理学-地理学] 0813[工学-建筑学] 0833[工学-城乡规划学] 082302[工学-交通信息工程及控制] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程]
主 题：Agent-based modeling computer simulation pedestrian traffic simulation ant road planner pedestrian infrastructure crosswalks pedestrian safety
摘 要：When arranging the pedestrian infrastructure,one of the most important components that make a tangible contribution to the safety of pedestrians is to organize the safe road *** cities,pedestrians often cross a road in the wrong place due to established routes or inadequate location of *** with the participation of pedestrians who crossed the road neglecting the traffic rules,make up a significant part of the total amount of road *** this paper,we propose a method that allows us,on the basis of the results of a computer simulation of pedestrian traffic,to obtain predicted routes for road crossing and to indicate optimal locations for crosswalks that take into account established pedestrian routes and increase their *** work describes an extension for the existing AntRoadPlanner simulation algorithm,which searches for and clusters points where pedestrians cross the roadway and suggests locations for new *** method was tested on the basis of a comparative simulation of several territories before and after its application,as well as on the basis of a field study of the *** developed algorithm can also be used to search for other potentially dangerous places for pedestrians on plans of districts,for example,crossings in places with limited visibility.
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