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

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

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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

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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.

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References

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Optimization of Shared Parking Capacity Based on Urban Traffic Network Equilibrium

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