A simulation study of platooning AV fleet service in shared urban environments with uncertainties

Ran Dong; Roger Woodman; Paul A. Jennings; Simon Brewerton; Stewart A. Birrell; Matthew D. Higgins

doi:10.1016/j.treng.2021.100062

A simulation study of platooning AV fleet service in shared urban environments with uncertainties

Ran Dong, Roger Woodman, Paul A. Jennings, Simon Brewerton, Stewart A. Birrell, Matthew D. Higgins

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

16 Downloads (Pure)

Abstract

This paper conducts a simulation study of low-speed Autonomous Vehicles (AVs), referred to as “pods”, platooning in shared urban environments. The proposed on-demand transport service can help solve the “last mile” challenge and improve mobility for non-drivers, elderly, and disabled people. To help the industry understands the dynamic system for deployment, this paper provides a practical prospect for pod platooning without prior planning. We designed a simulation system for the new transport. Non-homogenous Poisson processes were adopted to simulate arrivals of user requests. A three-density-zone map was designed from real-world city layouts. Practical time and location patterns of user demand were used. The supervision cost reduction as a benefit of platooning was estimated. System performance and user experience were evaluated. We identified how deployment can influence platooning. We found that platooning can reduce supervision cost by approximately 20% and 14%, during peak times on weekdays and midday on weekends respectively.

Original language	English
Article number	100062
Number of pages	13
Journal	Transportation Engineering
Volume	4
Early online date	2 Mar 2021
DOIs	https://doi.org/10.1016/j.treng.2021.100062
Publication status	Published - Jun 2021
Externally published	Yes

Bibliographical note

This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/)

Funder

This work has been carried out as part of the Self-organising Wide area Autonomous vehicle Real-time Marshalling (SWARM) project. The project was funded by Innovate UK , the UK’s innovation agency, under the grant ref. 103287 , and is a collaboration between RDM Ltd., University of Warwick, and Milton Keynes Council.

Keywords

Electric Autonomous Vehicle
Monte Carlo Simulation
Platooning
Uncertainty
Urban transport

ASJC Scopus subject areas

Aerospace Engineering
Automotive Engineering
Civil and Structural Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1016/j.treng.2021.100062Licence: CC BY-NC-ND

PublishedFinal published version, 2.63 MBLicence: CC BY-NC-ND

https://www.sciencedirect.com/science/article/pii/S2666691X2100018XLicence: CC BY-NC-ND

Cite this

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title = "A simulation study of platooning AV fleet service in shared urban environments with uncertainties",

abstract = "This paper conducts a simulation study of low-speed Autonomous Vehicles (AVs), referred to as “pods”, platooning in shared urban environments. The proposed on-demand transport service can help solve the “last mile” challenge and improve mobility for non-drivers, elderly, and disabled people. To help the industry understands the dynamic system for deployment, this paper provides a practical prospect for pod platooning without prior planning. We designed a simulation system for the new transport. Non-homogenous Poisson processes were adopted to simulate arrivals of user requests. A three-density-zone map was designed from real-world city layouts. Practical time and location patterns of user demand were used. The supervision cost reduction as a benefit of platooning was estimated. System performance and user experience were evaluated. We identified how deployment can influence platooning. We found that platooning can reduce supervision cost by approximately 20% and 14%, during peak times on weekdays and midday on weekends respectively.",

keywords = "Electric Autonomous Vehicle, Monte Carlo Simulation, Platooning, Uncertainty, Urban transport",

author = "Ran Dong and Roger Woodman and Jennings, {Paul A.} and Simon Brewerton and Birrell, {Stewart A.} and Higgins, {Matthew D.}",

note = "This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/) ",

year = "2021",

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AU - Dong, Ran

AU - Woodman, Roger

AU - Jennings, Paul A.

AU - Brewerton, Simon

AU - Birrell, Stewart A.

AU - Higgins, Matthew D.

N1 - This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/)

PY - 2021/6

Y1 - 2021/6

N2 - This paper conducts a simulation study of low-speed Autonomous Vehicles (AVs), referred to as “pods”, platooning in shared urban environments. The proposed on-demand transport service can help solve the “last mile” challenge and improve mobility for non-drivers, elderly, and disabled people. To help the industry understands the dynamic system for deployment, this paper provides a practical prospect for pod platooning without prior planning. We designed a simulation system for the new transport. Non-homogenous Poisson processes were adopted to simulate arrivals of user requests. A three-density-zone map was designed from real-world city layouts. Practical time and location patterns of user demand were used. The supervision cost reduction as a benefit of platooning was estimated. System performance and user experience were evaluated. We identified how deployment can influence platooning. We found that platooning can reduce supervision cost by approximately 20% and 14%, during peak times on weekdays and midday on weekends respectively.

AB - This paper conducts a simulation study of low-speed Autonomous Vehicles (AVs), referred to as “pods”, platooning in shared urban environments. The proposed on-demand transport service can help solve the “last mile” challenge and improve mobility for non-drivers, elderly, and disabled people. To help the industry understands the dynamic system for deployment, this paper provides a practical prospect for pod platooning without prior planning. We designed a simulation system for the new transport. Non-homogenous Poisson processes were adopted to simulate arrivals of user requests. A three-density-zone map was designed from real-world city layouts. Practical time and location patterns of user demand were used. The supervision cost reduction as a benefit of platooning was estimated. System performance and user experience were evaluated. We identified how deployment can influence platooning. We found that platooning can reduce supervision cost by approximately 20% and 14%, during peak times on weekdays and midday on weekends respectively.

KW - Electric Autonomous Vehicle

KW - Monte Carlo Simulation

KW - Platooning

KW - Uncertainty

KW - Urban transport

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A simulation study of platooning AV fleet service in shared urban environments with uncertainties

Abstract

Bibliographical note

Funder

Keywords

ASJC Scopus subject areas

Access to Document

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