通勤廊道停车共乘出行行为分析与停车收费优化  

Analysis of travel behavior and optimization of parking fare in a commute corridor with park and ride-sharing

作　　者：龙建成 张心怡 丁建勋 LONG Jiancheng;ZHANG Xinyi;DING Jianxun(School of Automotive and Transportation Engineering,Hefei University of Technology,Hefei 230009,Anhui,China;Engineering Research Center for Intelligent Transportation and Cooperative Vehicle-Infrastructure of Anhui Province,Hefei 230009,Anhui,China)

机构地区：[1]合肥工业大学汽车与交通工程学院,安徽合肥230009 [2]安徽省智慧交通车路协同工程研究中心,安徽合肥230009

出　　处：《运筹学学报》2023年第2期110-124,共15页Operations Research Transactions

基　　金：国家杰出青年科学基金(No.71925001);安徽省科技重大专项项目(No.202003a05020009)。

摘　　要：共乘出行可以提高车辆使用容量,减少交通出行量,从而有效缓解交通拥堵以及城市停车紧张。本文以单中心线性城市为研究背景,通过设置停车共乘会合点的方法,提出了一种基于停车共乘的交通管理方案。在停车共乘出行环境下,分析了自驾司机、共乘司机、共乘乘客的出行成本,构建了基于随机用户均衡的路径选择模型。以最小化系统总出行阻抗为目标,提出了一个双层规划模型来优化共乘停车收费。基于灵敏度分析的方法,分别应用了Frank-Wolfe和BFGS两种算法来求解提出的双层规划模型。最后,采用数值算例验证了提出的模型和算法的有效性。Ride-sharing can effectively alleviate traffic congestion and parking pressure by improving the utilization of vehicle seat capacity and reducing the number of traffic travels.Considering setting parking and ride-sharing meeting points,a traffic management scheme for a linear monocentric city was proposed.Under the situation of parking and ride-sharing,the travel costs of solo driver,ride-sharing driver and ridesharing passenger were analyzed,and a route choice model based on stochastic user equilibrium was constructed.A bi-level programming model was proposed to minimize the total travel cost by optimizing the ride-sharing parking charge.Based on the method of sensitivity analysis,the Frank-Wolfe and BFGS algorithms were applied respectively to solve the proposed bi-level programming model.Finally,the results of numerical analysis show the effectiveness of the proposed model and algorithm.

关 键 词：停车共乘 共乘停车收费优化 双层规划 随机用户均衡 灵敏度分析 

分 类 号：U491[交通运输工程—交通运输规划与管理]