Equilibrium analysis of morning commuting and parking under spatial capacity allocation in the autonomous vehicle environment

•This study investigates commuting and parking patterns of autonomous vehicles (AVs) under capacity allocation schemes.•This study examines both user equilibrium and system optimum AV traffic patterns.•This study examines optimal capacity allocation strategies under user equilibrium and system optim...

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Bibliographic Details
Published inTransportation research. Part E, Logistics and transportation review Vol. 172; p. 103071
Main Authors Zhang, Xiang, Liu, Wei, Levin, Michael, Travis Waller, S.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.04.2023
Subjects
Autonomous vehicles
Bottleneck model
Morning commute
Spatial capacity allocation
System optimum
User equilibrium
Morning commute
User equilibrium
System optimum
Bottleneck model
Autonomous vehicles
Spatial capacity allocation
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ISSN1366-5545
1878-5794
DOI10.1016/j.tre.2023.103071

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Summary:•This study investigates commuting and parking patterns of autonomous vehicles (AVs) under capacity allocation schemes.•This study examines both user equilibrium and system optimum AV traffic patterns.•This study examines optimal capacity allocation strategies under user equilibrium and system optimum AV traffic patterns. This study analytically investigates the morning commuting and parking patterns of autonomous vehicles (AVs) under different spatial road capacity allocation schemes (i.e., capacity split between inbound and outbound travel directions). Given that self-driving AV might park far away from commuters’ destination, we investigate equilibrium departure/arrival and parking patterns for AVs subject to the spatial road capacity allocation. We also analyse the system optimum traffic pattern for AV morning commute under a given capacity allocation scheme. Furthermore, we examine optimal capacity allocation strategies under user equilibrium and system optimum AV traffic patterns, respectively, which aim to minimise the total system travel cost. Numerical studies are conducted to illustrate the model and analysis. The results reveal the sensitivity of different efficiency metrics with respect to AV parking supply and road capacity allocation schemes, and provide insights into the infrastructure management with future automated transport.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2023.103071