| 突发公共卫生事件下应急定制公交线路优化 |
| |
| 引用本文： | 马昌喜,王超,郝威,刘晶,张兆磊.突发公共卫生事件下应急定制公交线路优化[J].交通运输工程学报,2020,20(3):89-99. |
| |
| 作者姓名： | 马昌喜 王超 郝威 刘晶 张兆磊 |
| |
| 作者单位： | 1.兰州交通大学 交通运输学院, 甘肃 兰州 7300702.长沙理工大学 交通运输工程学院, 湖南 长沙 410114 |
| |
| 基金项目： | 国家国际科技合作专项基金;国家自然科学基金;教育部人文社会科学研究项目 |
| |
| 摘 要： | 考虑突发公共卫生事件下的疫情防控要求, 构建了一种应急定制公交线路优化方法; 对城市中已经封闭的小区和路段进行筛查, 并将这些小区和路段设置为应急定制公交禁行区域; 以所有应急定制公交总运行时长最短为目标, 以乘客上座率不超过安全阈值为约束, 同时考虑供需匹配, 构建了突发公共卫生事件下应急定制公交线路优化模型; 设计了遗传算法来求解该模型, 采用三段式混合编码方式进行染色体编码, 3段染色体分别由定制公交停车场编号、上车站点编号和下车站点编号组成, 运用贪婪策略解码染色体; 采用模拟案例验证了模型与算法的可行性, 并将优化结果与正常情况下基于相同客运任务的定制公交线路优化方案进行了对比。研究结果表明: 在完成相同客运任务的情况下, 应急定制公交线路所需车辆数比正常情况下多2辆, 车辆的总运行时长也比正常情况下增加6.997 h; 正常情况下的定制公交线路优化模型不能直接用于突发公共卫生事件场景, 针对应急场景构建的定制公交线路优化模型与算法能从众多备选方案中快速计算得到优化方案, 不仅能满足防疫要求, 还能满足人们的出行需求。
|
| 关 键 词： | 应急交通 突发公共卫生事件 定制公交 线路 优化 遗传算法 |
| 收稿时间： | 2020-03-03 |
Emergency customized bus route optimization under public health emergencies |
| |
| MA Chang-xi,WANG Chao,HAO Wei,LIU Jing,ZHANG Zhao-lei.Emergency customized bus route optimization under public health emergencies[J].Journal of Traffic and Transportation Engineering,2020,20(3):89-99. |
| |
| Authors: | MA Chang-xi WANG Chao HAO Wei LIU Jing ZHANG Zhao-lei |
| |
| Affiliation: | 1.School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China2.School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China |
| |
| Abstract: | Considering the requirements of epidemic prevention and control under public health emergencies, an optimization method of emergency customized bus routes was constructed. The closed areas and road sections in the city were screened and set as the emergency customized bus forbidden areas. Taking the occupancy rate of passengers not exceeding the safety threshold as the constraint, and considering the matching of supply and demand, the optimization model of public health emergency customized bus route was constructed by minimizing the total running time of all emergency customized buses. The genetic algorithm was designed to solve the model. The chromosome was encoded by the three-segment hybrid coding method. The three chromosomes were composed of the customized bus parking lot number, boarding station number and alighting station number. The chromosomes were decoded by using the greedy strategy. A simulation case was used to verify the feasibilities of the optimization model and algorithm, and the optimization results were compared with the customized bus route optimization scheme based on the same passenger transport task under the normal circumstance. Research result shows that the number of vehicles required for the emergency customized bus route under public health emergencies is 2 more than that under the normal circumstance. The total travel time of vehicles increases by 6.997 h compared with that under the normal circumstance. The customized bus route optimization model under the normal circumstance cannot be directly used in public health emergency scenarios. The optimization model and algorithm of customized bus route based on the emergency scenario can obtain the optimized scheme from many alternatives through the fast calculation. It can not only meet the requirement of epidemic prevention, but also meet people's travel needs under public health emergencies. |
| |
| Keywords: | |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《交通运输工程学报》浏览原始摘要信息 |
|
点击此处可从《交通运输工程学报》下载全文 |
|
