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Title:

Designing an Optimal Autonomous Vehicle Sharing and Reservation System: A Linear Programming Approach

Accession Number:

01628786

Record Type:

Component

Abstract:

The autonomous vehicle (AV) technology holds great promise for improving efficiency of traditional vehicle sharing systems. In this paper, the authors examine a new vehicle sharing system using AVs, referred to as autonomous vehicle sharing and reservation (AVSR). In such a system, travelers can request AV trips ahead of time and the AVSR system controller will optimally arrange the AV pickup and delivery schedule and trip chains on the basis of the recorded trip demand requests. A linear programming model is proposed to efficiently solve for optimal solutions for AV trip chains. Case studies show that AVSR can significantly increase vehicle use rate (VUR) and consequentially reduce vehicle ownership significantly. In the meantime, it is found that the actual vehicle miles traveled (VMT) incurred by AVSR systems is not significantly more than that of conventional taxis, despite inevitable empty hauls for vehicle relocation in AVSR systems. This indicates that the increased VMT incurred by relocating sharing vehicles can be partially compensated by the reduction in required AV fleet size. The results imply potential huge benefits from AVSR systems on improving mobility and sustainability of our current transportation systems.

Supplemental Notes:

This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-05157

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ma, Jiaqi

ORCID 0000-0002-8184-5157

Li, Xiaopeng
Zhou, Fang

Pagination:

19p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-05157

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:00PM