Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets

Wei Wu; Fangni Zhang; Wei Liu; Gabriel Lodewijks

doi:10.1016/j.tre.2020.101855

Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets

Wei Wu, Fangni Zhang, Wei Liu, Gabriel Lodewijks

Research output: Journal article publication › Journal article › Academic research › peer-review

65 Citations (Scopus)

Abstract

This paper envisions a mixed network with autonomous vehicle (AV) expressways and non-autonomous local streets in the future, where a trip may consist of both the AV self-driving part and the manual-driving part. A linear traffic corridor approach is adopted, where AV expressways and non-autonomous streets are in parallel and are connected through the entrance/exit. This mimics the intermediate future where AV expressways may be initially deployed along major corridors. We model and analyze road users’ route choice in such a mixed network. We also examine how AV expressways are integrated with the local streets can affect system performance.

Original language	English
Article number	101855
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	134
DOIs	https://doi.org/10.1016/j.tre.2020.101855
Publication status	Published - Feb 2020
Externally published	Yes

Keywords

AV expressways
Linear traffic corridor
Mixed network
Non-autonomous streets

ASJC Scopus subject areas

Business and International Management
Civil and Structural Engineering
Transportation

More information

10.1016/j.tre.2020.101855

Cite this

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title = "Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets",

abstract = "This paper envisions a mixed network with autonomous vehicle (AV) expressways and non-autonomous local streets in the future, where a trip may consist of both the AV self-driving part and the manual-driving part. A linear traffic corridor approach is adopted, where AV expressways and non-autonomous streets are in parallel and are connected through the entrance/exit. This mimics the intermediate future where AV expressways may be initially deployed along major corridors. We model and analyze road users{\textquoteright} route choice in such a mixed network. We also examine how AV expressways are integrated with the local streets can affect system performance.",

keywords = "AV expressways, Linear traffic corridor, Mixed network, Non-autonomous streets",

author = "Wei Wu and Fangni Zhang and Wei Liu and Gabriel Lodewijks",

note = "Funding Information: We thank the anonymous reviewers for their valuable and constructive comments, which have helped improve both the technical quality and exposition of this paper substantially. This research was partly supported by the National Natural Science Foundation of China under Grant No. 61773077 , by funding from the Australian Research Council ( DE200101793 ), and by funding from the UNSW Digital Grid Futures Institute, UNSW , Sydney, under a cross disciplinary fund scheme. A significant part of this research was completed during Dr. Wei Wu{\textquoteright}s visit at the University of New South Wales, Sydney. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2020",

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language = "English",

volume = "134",

journal = "Transportation Research Part E: Logistics and Transportation Review",

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AU - Wu, Wei

AU - Zhang, Fangni

AU - Liu, Wei

AU - Lodewijks, Gabriel

N1 - Funding Information: We thank the anonymous reviewers for their valuable and constructive comments, which have helped improve both the technical quality and exposition of this paper substantially. This research was partly supported by the National Natural Science Foundation of China under Grant No. 61773077 , by funding from the Australian Research Council ( DE200101793 ), and by funding from the UNSW Digital Grid Futures Institute, UNSW , Sydney, under a cross disciplinary fund scheme. A significant part of this research was completed during Dr. Wei Wu’s visit at the University of New South Wales, Sydney. Publisher Copyright: © 2020 Elsevier Ltd

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N2 - This paper envisions a mixed network with autonomous vehicle (AV) expressways and non-autonomous local streets in the future, where a trip may consist of both the AV self-driving part and the manual-driving part. A linear traffic corridor approach is adopted, where AV expressways and non-autonomous streets are in parallel and are connected through the entrance/exit. This mimics the intermediate future where AV expressways may be initially deployed along major corridors. We model and analyze road users’ route choice in such a mixed network. We also examine how AV expressways are integrated with the local streets can affect system performance.

AB - This paper envisions a mixed network with autonomous vehicle (AV) expressways and non-autonomous local streets in the future, where a trip may consist of both the AV self-driving part and the manual-driving part. A linear traffic corridor approach is adopted, where AV expressways and non-autonomous streets are in parallel and are connected through the entrance/exit. This mimics the intermediate future where AV expressways may be initially deployed along major corridors. We model and analyze road users’ route choice in such a mixed network. We also examine how AV expressways are integrated with the local streets can affect system performance.

KW - AV expressways

KW - Linear traffic corridor

KW - Mixed network

KW - Non-autonomous streets

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JO - Transportation Research Part E: Logistics and Transportation Review

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ER -

Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets

Abstract

Keywords

ASJC Scopus subject areas

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