Data-driven evacuation and rescue traffic optimization with rescue contraflow control
作者机构:School of Management EngineeringZhengzhou University of AeronauticsZhengzhou 450046China Collaborative Innovation Center for Aviation Economy Development of Henan ProvinceZhengzhou University of AeronauticsZhengzhou 450046China School of Systems scienceBeijing Jiaotong UniversityBeijing 100044China Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive TransportBeijing Jiaotong UniversityBeijing 100044China School of Transportation EngineeringShandong Jianzhu UniversityJinan 250101China
出 版 物:《Journal of Safety Science and Resilience》 (安全科学与韧性(英文))
年 卷 期:2024年第5卷第1期
页 面:1-12页
核心收录:
学科分类:1004[医学-公共卫生与预防医学(可授医学、理学学位)] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by the National Natural Science Foundation of China(no.72242102,72271021) the humanities and Social Sciences Fund of Ministry of Education of China(no.23YJC630124) the Henan Provincial Science and Technology Research Project of China(no.232102320021)
主 题:Evacuation and rescue traffic optimization Rescue contraflow control Multiobjective mixed integer linear programming Three-stage solving algorithm Data-driven statistical analysis
摘 要:In response to local sudden disasters,e.g.,high-rise office or residential building fire disasters,road occupation can cause conflicts,and traffic directions may be opposite between evacuation vehicles and rescue vehicles;moreover,lane contraflow can be adopted to meet these surge traffic ***,lane contraflow that provides more roads for rescue vehicles reduces the traffic supply in the evacuation *** is unclear how to control the number of contraflow roads used by rescue vehicles to coordinate evacuation and rescue traffic ***,we adjust the critical rescue traffic volume of reversing the normal road traffic direction to control rescue ***,we propose a multiobjective mixed integer linear programming formulation for evacuation and rescue traffic ***,considering that the upper limit of the critical rescue traffic volume is unknown and that the proposed formulation includes multiple objectives and multi-priority vehicle classes,a three-stage solving algorithm is ***,a large-scale evacuation and rescue traffic optimization result dataset is obtained for the Nguyen–Dupuis road network,and the impact of different rescue contraflow control plans on evacuation and rescue traffic is studied based on data-driven sta-tistical *** results show that by adjusting the optimal rescue traffic route,the critical rescue traffic volume for reversing the normal road traffic direction can reduce the interference of rescue traffic to evacuation traffic operation performance without reducing rescue traffic operation performance,and can be used to coor-dinate evacuation and rescue traffic operation under rescue contraflow.