[1]孙 超,李世杰,张 鹏,等.出行系统最优配置下共享停车选择及泊位分配[J].郑州大学学报(工学版),2023,44(01):38-43.[doi:10.13705/j.issn.1671-6833.2023.01.011]
　SUN Chao,LI Shijie,ZHANG Peng,et al.Shared Parking Selection and Berth Allocation for Optimal Configuration of Travel System[J].Journal of Zhengzhou University (Engineering Science),2023,44(01):38-43.[doi:10.13705/j.issn.1671-6833.2023.01.011]
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出行系统最优配置下共享停车选择及泊位分配()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
44
期数:
2023年01期
页码:
38-43
栏目:
出版日期:
2022-12-06

文章信息/Info

Title:
Shared Parking Selection and Berth Allocation for Optimal Configuration of Travel System
作者:
孙 超;  李世杰;  张 鹏;  尹浩为;  蔡宇航
江苏大学汽车与交通工程学院,江苏镇江 212013

Author(s):
SUN Chao;  LI Shijie;  ZHANG Peng;  YIN Haowei;  CAI Yuhang
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
关键词:
Keywords:
urban transportation;  shared parking;  parking balance;  integer programming;  berth allocation
分类号:
U491
DOI:
10.13705/j.issn.1671-6833.2023.01.011
文献标志码:
A
摘要:
为提升城市出行及停车供需匹配的效率,提出了一种面向出行系统最优配置的停车选择及泊位分配整合 模型。构建考虑共享停车用户出行费用和非共享停车用户出行费用的停车选择均衡模型,并设计下降算法求解停 车选择均衡模型;对共享停车用户,建立共享停车平台运营商、泊位供给者和泊位需求者综合泊位分配整数规划模 型,出行选择模型与泊位分配模型之间通过共享停车泊位分配决策变量建立联系。算例分析结果表明,提出的泊 位分配模型对用户预约请求接受率达到83%,且模型能够高效应用于实际停车问题;出行用户更倾向于选择行驶 距离和步行距离近的停车场,共享停车与非共享停车流量增速差距最大的停车请求规模既可以使运营商获得较高 利润,又能够提高共享停车与非共享停车流量之间的平衡性。
Abstract:
In order to improve the efficiency of urban travel and parking supply-demand matching, an integrated model of parking mode selection and berth allocation for optimal configuration of travel system was explored. Firstly, a parking choice equilibrium model considering the travel cost of shared parking users and non-shared parking users was constructed. A descent algorithm was designed to solve the parking choice equilibrium model. Secondly, for shared parking users, the integrated berth allocation integer programming model of shared parking platform operators, berth suppliers and berth demanders was established. The travel choice model and the berth allocation model were linked through the decision variables of shared parking allocation. The example showed that the reception rate of the proposed berth allocation model to the user reservation request reached 83%, and the model could be effectively applied to the actual parking problem. Travel users prefered to choose parking lots with short driving distance and walking distance. When the growth gap between shared parking and non-shared parking traffic was the largest, the scale of parking requests could not only enable operators to obtain higher profits, but also improve the balance between shared parking and non-shared parking traffic.

参考文献/References:

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更新日期/Last Update: 2022-12-07