Optimization of Shared Parking Capacity Based on Urban Traffic Network Equilibrium

CHANG Yulin; CHEN Weihua; SUN Chao

doi:10.3969/j.issn.0258-2724.20210165

Volume 57 Issue 4

Jul. 2022

Turn off MathJax

Article Contents

Abstract

References

Journal of Southwest Jiaotong University > 2022 > 57(4): 769-775.

LIU Zhiwei, LIU Jianrong, DENG Wei. Inclusion of Latent Class in Behavior Model of Motorized Travel in City[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 131-137. doi: 10.3969/j.issn.0258-2724.20190945

Citation:

CHANG Yulin, CHEN Weihua, SUN Chao. Optimization of Shared Parking Capacity Based on Urban Traffic Network Equilibrium[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 769-775. doi: 10.3969/j.issn.0258-2724.20210165

Citation:

PDF( 2008 KB)

Optimization of Shared Parking Capacity Based on Urban Traffic Network Equilibrium

doi: 10.3969/j.issn.0258-2724.20210165

CHANG Yulin^{1, 2
,},
CHEN Weihua¹,
SUN Chao^{1, 3}

1.
School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
2.
Jiangsu Key Laboratory of ITS, Southeast University, Nanjing 211189, China
3.
Nanjing Berkeley Traffic Science and Technology Co., Ltd., Nanjing 210017, China

Received Date: 04 Mar 2021
Rev Recd Date: 19 May 2021
Publish Date: 20 May 2021

Abstract

Abstract

In order to study the impact of optimal allocation of shared parking capacity on user travel choices, a two-level planning model is established. The upper model determines the optimal parking capacity of shared parking land based on the total revenue of the parking management platform and the minimum walking cost. The lower layer establishes a multi-user balanced allocation model of shared parking, ordinary parking and public transportation to describe the choice of shared parking users’ travel modes. The connection between the upper and lower models is realized through the shared parking selection probability. The successive average algorithm is designed to solve the lower model, and it is embedded in the differential evolution algorithm to solve the upper model. A simulation test is conducted on part of the road network in the CBD area of Jintan District, Changzhou City. The result show that under different shared parking capacity allocations, the revenue of the parking management platform increases with the increase of capacity and then decrease, while the user’s travel expenses decrease with the increase of capacity and then rising, which shows that reasonable allocation of shared parking capacity can achieve a balance between the revenue of the parking management platform and the demand for shared parking.

FullText(HTML)

References(11)

References

[1]	李亚辉. 基于泊位共享的城市综合体停车需求预测方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2016.
[2]	王庆刚. 允许泊位共享的城市综合体停车需求分析方法研究[D]. 济南: 山东大学, 2018.
[3]	徐志豪,马健霄. 基于行为选择特性的泊位共享需求预测[J]. 物流科技,2019,42(7): 27-32. doi: 10.3969/j.issn.1002-3100.2019.07.008 XU Zhihao, MA Jianxiao. Parking sharing demand forecasting based on behavior selection[J]. Logistics Sci-Tech, 2019, 42(7): 27-32. doi: 10.3969/j.issn.1002-3100.2019.07.008
[4]	ALKHEDER S A, AL RAJAB M M, ALZOUBI K. Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP:Abu Dhabi Intelligent Parking”[J]. Alexandria Engineering Journal, 2016, 55(3): 2679-2687. doi: 10.1016/j.aej.2016.06.012
[5]	JIANG B W, FAN Z P. Optimal allocation of shared parking slots considering parking unpunctuality under a platform-based management approach[J]. Transportation Research Part E:Logistics and Transportation Review, 2020, 142: 102062.1-102062.16.
[6]	SHAO C Y, YANG H, ZHANG Y, et al. A simple reservation and allocation model of shared parking lots[J]. Transportation Research Part C:Emerging Technologies, 2016, 71: 303-312. doi: 10.1016/j.trc.2016.08.010
[7]	段满珍,杨兆升,张林,等. 个性化诱导下的居住区共享停车泊位分配模型[J]. 东北大学学报(自然科学版),2017,38(2): 174-179. doi: 10.3969/j.issn.1005-3026.2017.02.005 DUAN Manzhen, YANG Zhaosheng, ZHANG Lin, et al. Parking spaces allocation model of residential areas sharing parking based on personalized guidance[J]. Journal of Northeastern University (Natural Science), 2017, 38(2): 174-179. doi: 10.3969/j.issn.1005-3026.2017.02.005
[8]	孙会君,傅丹华,吕莹,等. 基于共享停车的车位租用与分配模型[J]. 交通运输系统工程与信息,2020,20(3): 130-136. SUN Huijun, FU Danhua, LV Ying, et al. Parking spaces renting and allocation model for shared parking[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(3): 130-136.
[9]	张水潮,蔡逸飞,黄锐,等. 基于预约需求的共享停车平台泊位分配方法[J]. 交通运输系统工程与信息,2020,20(3): 137-143,162. ZHANG Shuichao, CAI Yifei, HUANG Rui, et al. Shared parking space allocation method considering reservation demand[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(3): 137-143,162.
[10]	XIAO H H, XU M, GAO Z Y. Shared parking problem:a novel truthful double auction mechanism approach[J]. Transportation Research Part B:Methodological, 2018, 109: 40-69. doi: 10.1016/j.trb.2018.01.008
[11]	LEI C, OUYANG Y F. Dynamic pricing and reservation for intelligent urban parking management[J]. Transportation Research Part C:Emerging Technologies, 2017, 77: 226-244. doi: 10.1016/j.trc.2017.01.016