BROWSE

Related Researcher

Author's Photo

Kweon, Sang Jin
Research Interests
  • Optimization; Transportation; Logistics; Algorithm

ITEM VIEW & DOWNLOAD

An Alternative Fuel Refueling Station Location Model considering Detour Traffic Flows on a Highway Road System

Cited 0 times inthomson ciCited 0 times inthomson ci
Title
An Alternative Fuel Refueling Station Location Model considering Detour Traffic Flows on a Highway Road System
Author
Hwang, Seong WookKweon, Sang JinVentura, Jose A.
Issue Date
2020-02
Publisher
WILEY-HINDAWI
Citation
JOURNAL OF ADVANCED TRANSPORTATION, v.2020, pp.9473831
Abstract
With the development of alternative fuel (AF) vehicle technologies, studies on finding the potential location of AF refueling stations in transportation networks have received considerable attention. Due to the strong limited driving range, AF vehicles for long-distance intercity trips may require multiple refueling stops at different locations on the way to their destination, which makes the AF refueling station location problem more challenging. In this paper, we consider that AF vehicles requiring multiple refueling stops at different locations during their long-distance intercity trips are capable of making detours from their preplanned paths and selecting return paths that may be different from original paths for their round trips whenever AF refueling stations are not available along the preplanned paths. These options mostly need to be considered when an AF refueling infrastructure is not fully developed on a highway system. To this end, we first propose an algorithm to generate alternative paths that may provide the multiple AF refueling stops between all origin/destination (OD) vertices. Then, a new mixed-integer programming model is proposed to locate AF refueling stations within a preselected set of candidate sites on a directed transportation network by maximizing the coverage of traffic flows along multiple paths. We first test our mathematical model with the proposed algorithm on a classical 25-vertex network with 25 candidate sites through various scenarios that consider a different number of paths for each OD pair, deviation factors, and limited driving ranges of vehicles. Then, we apply our proposed model to locate liquefied natural gas refueling stations in the state of Pennsylvania considering the construction budget. Our results show that the number of alternative paths and deviation distance available significantly affect the coverage of traffic flows at the stations as well as computational time.
URI
https://scholarworks.unist.ac.kr/handle/201301/31234
URL
https://www.hindawi.com/journals/jat/2020/9473831/
DOI
10.1155/2020/9473831
ISSN
0197-6729
Appears in Collections:
SME_Journal Papers
Files in This Item:
9473831.pdf Download

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU