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Title:

Implementation of Vehicle Relocation for Carsharing Services in the Multiagent Transport Simulation MATSim

Accession Number:

01627946

Record Type:

Component

Abstract:

Operators of free-floating carsharing systems typically encounter the problem of imbalances in their vehicle fleets, caused by demand fluctuations over the course of one day, or from one day to the following. In order to provide a high level of accessibility to their service with a minimum number of vehicles, they must consider relocating unused vehicles. While some strategies to accomplish this have been successfully implemented, both in simulation and in practice, the set of tools required to represent carsharing in agent-based simulations is still incomplete. Agent-based simulations are particularly well suited to this task, because they allow modeling the interaction of supply and demand at individual level. This paper describes the implementation of the relocation agents within MATSim framework as an extension to the previous work on carsharing. The implementation was tested using a simple operator-based relocation strategy.

Supplemental Notes:

This paper was sponsored by TRB committee AP020 Standing Committee on Emerging and Innovative Public Transport and Technologies. Alternate title: Implementation of Vehicle Relocation for Carsharing Services in Multiagent Transport Simulation MATSim

Monograph Accession #:

01618707

Report/Paper Numbers:

17-06805

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Paschke, Stefan
Balac, Milos
Ciari, Francesco

Pagination:

12p

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; Maps; References

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Public Transportation; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-06805

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:48PM