Influence of CAVs platooning on intersection capacity under mixed traffic

With the emergence of connected and automated vehicles (CAVs), the mixed traffic environment where conventional human-driven vehicles (HVs) share the road space with CAVs is impending. Targeted management of such mixed traffic flow at intersections is of practical significance, inspiring the theoret...

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Main Authors: Wu, Yuanyuan, Wang, David Zhi Wei, Zhu, Feng
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/161972
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1619722022-09-28T00:58:12Z Influence of CAVs platooning on intersection capacity under mixed traffic Wu, Yuanyuan Wang, David Zhi Wei Zhu, Feng School of Civil and Environmental Engineering Engineering::Civil engineering Human Driven Vehicles Mixed Traffic With the emergence of connected and automated vehicles (CAVs), the mixed traffic environment where conventional human-driven vehicles (HVs) share the road space with CAVs is impending. Targeted management of such mixed traffic flow at intersections is of practical significance, inspiring the theoretical exploration of CAVs impacts on intersection capacity in this study. Penetration rate and platooning behavior of CAVs are the major concern. Not only the three core platooning parameters (intra-platoon gap, inter-platoon gap and platoon size) are investigated, but also the individual willingness of CAVs to form platoons is innovatively considered. Intersection capacity is modeled as an objective function of a linear program problem that maximizes the sum of throughput of each stream crossing the intersection under collision-free constraints. These constraints are determined by the conflicting relationship of vehicles on different streams and the vehicle's average occupation time of conflict points. The average occupation time is defined by adopting the service time concept in queueing theory, and specified by applying the Markov chain theory considering the spatial distribution of heterogeneous vehicle headways in mixed traffic. This study provides a practical procedure to analyze the influence of CAVs on mixed traffic at intersections, without the need to determine specific intersection management methods. Corollaries drawn are basically consistent with expectations, except that high CAV penetration does not necessarily correspond to high intersection capacity. In order for the influence of penetration to be positive, the platooning willingness must be controlled within the corresponding range, suggesting that CAV penetration rate and platooning willingness should be considered jointly when updating intersection management for mixed CAVs–HVs traffic flow. Furthermore, numerical analyses are carried out to corroborate the analytical conclusions. Ministry of Education (MOE) National Research Foundation (NRF) This study is supported by Singapore Ministry of Education Academic Research Fund Tier 2 MOE2017-T2-1-029, and in part, by the National Research Foundation, Singapore under its AI Singapore Programme (AISG Award No: AISG2-RP-2020-019). 2022-09-28T00:58:12Z 2022-09-28T00:58:12Z 2022 Journal Article Wu, Y., Wang, D. Z. W. & Zhu, F. (2022). Influence of CAVs platooning on intersection capacity under mixed traffic. Physica A: Statistical Mechanics and Its Applications, 593, 126989-. https://dx.doi.org/10.1016/j.physa.2022.126989 0378-4371 https://hdl.handle.net/10356/161972 10.1016/j.physa.2022.126989 2-s2.0-85124293121 593 126989 en MOE2017-T2-1-029 AISG2-RP-2020- 019 Physica A: Statistical Mechanics and its Applications © 2022 Elsevier B.V. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Human Driven Vehicles
Mixed Traffic
spellingShingle Engineering::Civil engineering
Human Driven Vehicles
Mixed Traffic
Wu, Yuanyuan
Wang, David Zhi Wei
Zhu, Feng
Influence of CAVs platooning on intersection capacity under mixed traffic
description With the emergence of connected and automated vehicles (CAVs), the mixed traffic environment where conventional human-driven vehicles (HVs) share the road space with CAVs is impending. Targeted management of such mixed traffic flow at intersections is of practical significance, inspiring the theoretical exploration of CAVs impacts on intersection capacity in this study. Penetration rate and platooning behavior of CAVs are the major concern. Not only the three core platooning parameters (intra-platoon gap, inter-platoon gap and platoon size) are investigated, but also the individual willingness of CAVs to form platoons is innovatively considered. Intersection capacity is modeled as an objective function of a linear program problem that maximizes the sum of throughput of each stream crossing the intersection under collision-free constraints. These constraints are determined by the conflicting relationship of vehicles on different streams and the vehicle's average occupation time of conflict points. The average occupation time is defined by adopting the service time concept in queueing theory, and specified by applying the Markov chain theory considering the spatial distribution of heterogeneous vehicle headways in mixed traffic. This study provides a practical procedure to analyze the influence of CAVs on mixed traffic at intersections, without the need to determine specific intersection management methods. Corollaries drawn are basically consistent with expectations, except that high CAV penetration does not necessarily correspond to high intersection capacity. In order for the influence of penetration to be positive, the platooning willingness must be controlled within the corresponding range, suggesting that CAV penetration rate and platooning willingness should be considered jointly when updating intersection management for mixed CAVs–HVs traffic flow. Furthermore, numerical analyses are carried out to corroborate the analytical conclusions.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Wu, Yuanyuan
Wang, David Zhi Wei
Zhu, Feng
format Article
author Wu, Yuanyuan
Wang, David Zhi Wei
Zhu, Feng
author_sort Wu, Yuanyuan
title Influence of CAVs platooning on intersection capacity under mixed traffic
title_short Influence of CAVs platooning on intersection capacity under mixed traffic
title_full Influence of CAVs platooning on intersection capacity under mixed traffic
title_fullStr Influence of CAVs platooning on intersection capacity under mixed traffic
title_full_unstemmed Influence of CAVs platooning on intersection capacity under mixed traffic
title_sort influence of cavs platooning on intersection capacity under mixed traffic
publishDate 2022
url https://hdl.handle.net/10356/161972
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