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Title:

Fleet Control Algorithms for Automated Mobility: A Simulation Assessment for Zurich

Accession Number:

01660341

Record Type:

Component

Abstract:

The performance of four different dispatching and rebalancing algorithms for the control of an automated mobility-on-demand system is evaluated in a simulation environment. The case study conducted with an agent-based simulation scenario of the city of Zurich shows that the choice of an intelligent rebalancing algorithm decreases the average wait time in the system. For a wait time of four minutes at peak hours the best performing algorithm requires the same price per vehicle kilometer as a private car today. The results indicate that shared mobility systems of automated vehicles will reach higher occupancy rates than conventional private cars.

Supplemental Notes:

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

Report/Paper Numbers:

18-02171

Language:

English

Authors:

Hörl, Sebastian
Ruch, Claudio
Becker, Felix
Frazzoli, Emilio
Axhausen, Kay W

Pagination:

15p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References

Geographic Terms:

Zurich (Switzerland)

Subject Areas:

Highways; Operations and Traffic Management

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-02171

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:32AM