Campus Units

Civil, Construction and Environmental Engineering

Document Type

Conference Proceeding

Conference

3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society

Publication Version

Accepted Manuscript

Link to Published Version

https://doi.org/10.4271/2020-01-5148

Publication Date

2020

Journal or Book Title

SAE Technical Papers

First Page

2020-01-5148

Research Focus Area

Transportation Engineering

DOI

10.4271/2020-01-5148

Conference Title

3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society

Abstract

This paper presents a data-driven simulation model to estimate the potential of replacing conventional taxis with electric autonomous vehicles (EAVs). Vehicle trajectory data collected by onboard global positioning system (GPS) units in Shanghai, China, are used to study taxi travel patterns, in terms of the distribution of taxi travel demand, idle time between two consecutive occupied trips, and the places where vehicle stock imbalances may occur. The operational performances and fleet size are quantified using a data-driven simulation model that stimulates EAV taxis’ charging, idling and relocating activities. It is found that EAV taxis can serve the same amount of travel demand using 69.4% of the current fleet size; while because of vehicle stock imbalances, relocating idling vehicles is inevitable. Simulation results also demonstrate that the deployment of EAVs can improve taxi operation efficiency in terms of increasing the proportion of occupied travel distance.

Comments

This is a manuscript of a proceeding published as Yang, Jie, and Jing Dong. Assess the Performance of Electric Autonomous Taxi System Using a Data-Driven Simulation Model. No. 2020-01-5148. SAE Technical Paper, 2020. DOI: 10.4271/2020-01-5148. Posted with permission.

Copyright Owner

SAE International

Language

en

File Format

application/pdf

Published Version

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