一种顾及拼车意愿的动态共享出行建模方法  

A Dynamic Sharing Mobility Model with Passengers’Sharing Probability

作　　者：曹旷 贾涛[1] CAO Kuang;JIA Tao(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学遥感信息工程学院,湖北武汉430079

出　　处：《测绘地理信息》2024年第5期97-103,共7页Journal of Geomatics

基　　金：国家自然科学基金(41971332)

摘　　要：以概率的形式引入乘客的拼车意愿,将乘客的共享出行请求聚合成共享出行任务,构建请求-任务-车辆图;设计一个具有多目标的代价函数对请求-任务-车辆图进行求解,得到车辆和请求对应的分配结果。以武汉市江汉区的出租车出行数据进行模型验证,探索了3组不同参数的子模型,分别是平均共享时间最短的舒适出行、平均延迟时间最短的及时出行和车辆总行驶里程最少的低碳出行。结果表明:(1)无论拼车意愿如何变化,相比及时出行和低碳出行,舒适出行均能够减少99%的共享时间;(2)随着拼车意愿从0.1增加到1,及时出行的延迟时间相比舒适出行减少了5%~10%,低碳出行的总行驶里程相比于舒适出行每天可以减少50~400 km。实验结果能够为未来智能交通系统中的城市共享交通方案提供参考,提高城市出行资源的利用效率。This paper aggregates sharing mobilityridesharing requests from passengers into sharing mobilitypooled rideshare tasks and constructs a request-task-vehicle graph.A multi-objective cost function is designed to solve the request-task-vehicle graph and obtain the corresponding allocation results of vehicles and requests.Using taxi mobility data in Jianghan District,Wuhan,China,the model is verified and explores three submodels with different parameters,which are the most comfortable travel with the shortest average sharing time,the most timely travel with the shortest average delay time,and the lowest carbon travel with the least total mileage.The results show that①regardless of the changes in carpooling ridesharing willingness,compared to timely travel and eco-travel,comfortable travel can reduce 99%of shared time;②as the carpooling ridesharing willingness increases from 0.1 to 1,the delay time of timely travel decreases by 5%to 10%compared to comfortable travel,and the total mileage of ecotravel can be reduced by 50 to 400 kilometers per day compared to comfortable travel.The experimental results can provide a reference for the urban shared transportation scheme in the future intelligent transportation system,and improve the utilization efficiency of urban mobility resources.

关 键 词：城市交通 共享出行模型 多目标优化 拼车意愿 任务分配 智能交通 

分 类 号：P208[天文地球—地图制图学与地理信息工程]