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Title:

Refueling Infrastructure Planning in Intercity Networks Considering Route Choice and Travel Time Delay for Electric and Conventional Vehicles Mixed Fleet

Accession Number:

01697779

Record Type:

Component

Abstract:

The range anxiety has been a major factor that affects market acceptance of electric vehicles. This study studies a configuration for plug-in electric vehicle charging infrastructure to support long-distance intercity trips of electric vehicles at the network level. A model is proposed to minimize the total system cost including infrastructure investment (building charging stations/spots) and travel time delays (charging time, waiting time in the queue, and detour time to access charging stations). This study fills existing gaps in the literature by capturing realistic patterns of travel demand and considering flow-dependent charging delays. The proposed model is formulated as a mixed integer program with nonlinear constraints. At the network level, impacts of charging station location on the traffic assignment problem with a mixed fleet of electric and conventional vehicles need to be considered. To this end, a traffic assignment module is integrated with a simulated annealing algorithm to solve the proposed non-linear optimization problem. The numerical experiments show satisfactory application of the model for a full-scale case study (Intercity network in Michigan). The results suggest that even for the current market share and charging stations setting, a significant investment is needed to support intercity trips without range anxiety issues and with acceptable delays. Furthermore, through sensitivity analyses, the required infrastructure and battery investments to support intercity trips with acceptable delays are established for hypothetical increased market shares and battery size in the future.

Supplemental Notes:

This paper was sponsored by TRB committee ADB00 Section - Travel Analysis Methods.

Report/Paper Numbers:

19-03117

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Ghamami, Mehrnaz
Kavianipour, Mohammadreza
Zockaie, Ali
Hohnstadt, Laura R
Ouyang, Yanfeng

Pagination:

7p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Michigan

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-03117

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:37AM