Highway reservation strategy: Analytical modeling approach

Peng Su; B. Brian Park; Sang H. Son

doi:10.5220/0006305702520259

Highway reservation strategy: Analytical modeling approach

Peng Su, B. Brian Park, Sang H. Son

Department of Electrical Engineering and Computer Science

University of Virginia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Inspired by the success of reservation systems in airlines industries, and the Connected Vehicle technology supporting vehicular communications, this paper investigated a highway reservation and developed a mathematical optimization formulation to solve the optimal trip scheduling plan for a traffic network. The performance was quantified by total monetary cost of travel time and applicable early arrival time or late arrival time. In the two numerical case studies with an assumption of 100% compliance of the users to the reservation system's scheduling, the system cost was 24.1% and 21.7% lower than those of the two corresponding user equilibrium solutions. The reservation system effectively redistributed the peak hour demand to the non-peak hours by limiting the reservation maximum flow rate of the reservation links.

Original language	English
Title of host publication	VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems
Editors	Oleg Gusikhin, Markus Helfert, Antonio Pascoal
Publisher	SciTePress
Pages	252-259
Number of pages	8
ISBN (Electronic)	9789897582424
DOIs	https://doi.org/10.5220/0006305702520259
State	Published - 2017
Event	3rd International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2017 - Porto, Portugal Duration: 22 Apr 2017 → 24 Apr 2017

Publication series

Name	VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems

Conference

Conference	3rd International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2017
Country/Territory	Portugal
City	Porto
Period	22/04/17 → 24/04/17

Bibliographical note

Publisher Copyright:
Copyright © 2017 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.

Keywords

Analytical modeling approach
Highway reservation
Traffic management strategy

Access to Document

10.5220/0006305702520259

Cite this

Su, P., Brian Park, B., & Son, S. H. (2017). Highway reservation strategy: Analytical modeling approach. In O. Gusikhin, M. Helfert, & A. Pascoal (Eds.), VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems (pp. 252-259). (VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems). SciTePress. https://doi.org/10.5220/0006305702520259

Su, Peng ; Brian Park, B. ; Son, Sang H. / Highway reservation strategy : Analytical modeling approach. VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. editor / Oleg Gusikhin ; Markus Helfert ; Antonio Pascoal. SciTePress, 2017. pp. 252-259 (VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems).

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title = "Highway reservation strategy: Analytical modeling approach",

abstract = "Inspired by the success of reservation systems in airlines industries, and the Connected Vehicle technology supporting vehicular communications, this paper investigated a highway reservation and developed a mathematical optimization formulation to solve the optimal trip scheduling plan for a traffic network. The performance was quantified by total monetary cost of travel time and applicable early arrival time or late arrival time. In the two numerical case studies with an assumption of 100% compliance of the users to the reservation system's scheduling, the system cost was 24.1% and 21.7% lower than those of the two corresponding user equilibrium solutions. The reservation system effectively redistributed the peak hour demand to the non-peak hours by limiting the reservation maximum flow rate of the reservation links.",

keywords = "Analytical modeling approach, Highway reservation, Traffic management strategy",

author = "Peng Su and {Brian Park}, B. and Son, {Sang H.}",

note = "Publisher Copyright: Copyright {\textcopyright} 2017 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.; 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2017 ; Conference date: 22-04-2017 Through 24-04-2017",

year = "2017",

doi = "10.5220/0006305702520259",

language = "English",

series = "VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems",

publisher = "SciTePress",

pages = "252--259",

editor = "Oleg Gusikhin and Markus Helfert and Antonio Pascoal",

booktitle = "VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems",

}

Su, P, Brian Park, B & Son, SH 2017, Highway reservation strategy: Analytical modeling approach. in O Gusikhin, M Helfert & A Pascoal (eds), VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, SciTePress, pp. 252-259, 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2017, Porto, Portugal, 22/04/17. https://doi.org/10.5220/0006305702520259

Highway reservation strategy: Analytical modeling approach. / Su, Peng; Brian Park, B.; Son, Sang H.
VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. ed. / Oleg Gusikhin; Markus Helfert; Antonio Pascoal. SciTePress, 2017. p. 252-259 (VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Inspired by the success of reservation systems in airlines industries, and the Connected Vehicle technology supporting vehicular communications, this paper investigated a highway reservation and developed a mathematical optimization formulation to solve the optimal trip scheduling plan for a traffic network. The performance was quantified by total monetary cost of travel time and applicable early arrival time or late arrival time. In the two numerical case studies with an assumption of 100% compliance of the users to the reservation system's scheduling, the system cost was 24.1% and 21.7% lower than those of the two corresponding user equilibrium solutions. The reservation system effectively redistributed the peak hour demand to the non-peak hours by limiting the reservation maximum flow rate of the reservation links.

AB - Inspired by the success of reservation systems in airlines industries, and the Connected Vehicle technology supporting vehicular communications, this paper investigated a highway reservation and developed a mathematical optimization formulation to solve the optimal trip scheduling plan for a traffic network. The performance was quantified by total monetary cost of travel time and applicable early arrival time or late arrival time. In the two numerical case studies with an assumption of 100% compliance of the users to the reservation system's scheduling, the system cost was 24.1% and 21.7% lower than those of the two corresponding user equilibrium solutions. The reservation system effectively redistributed the peak hour demand to the non-peak hours by limiting the reservation maximum flow rate of the reservation links.

KW - Analytical modeling approach

KW - Highway reservation

KW - Traffic management strategy

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Su P, Brian Park B, Son SH. Highway reservation strategy: Analytical modeling approach. In Gusikhin O, Helfert M, Pascoal A, editors, VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. SciTePress. 2017. p. 252-259. (VEHITS 2017 - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems). doi: 10.5220/0006305702520259

Highway reservation strategy: Analytical modeling approach

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Bibliographical note

Keywords

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