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Title:

Scenario-based Multistage Stochastic Model for Infrastructure Planning for One-way Electric Car Sharing

Accession Number:

01658379

Record Type:

Component

Abstract:

The authors propose a multistage stochastic model to deploy a one-way Electric Vehicle (EV) sharing system that serves an urban area. Under this framework, long-term charging station locations, real-time fleet operations and charging decisions are holistically optimized, incorporating a spatial-temporal demand uncertainty. To overcome the tractability issue of the multistage nature, the authors propose an accelerating solution algorithm via a two-stage approximation and scenario reduction. The performance of the model is shown through hypothetical numerical tests and meaningful insights are delivered through a case study in New York City.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

Report/Paper Numbers:

18-05878

Language:

English

Authors:

Hua, Yikang
Zhao, Dongfang
Wang, Xin
Li, Xiaopeng

Pagination:

17p

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; Tables

Geographic Terms:

New York (New York)

Subject Areas:

Highways; Planning and Forecasting; Terminals and Facilities; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05878

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:31AM