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Authors: Peng Su 1 ; B. Brian Park 1 and Sang H. Son 2

Affiliations: 1 University of Virginia, United States ; 2 DGIST, Korea, Republic of

Keyword(s): Highway Reservation, Traffic Management 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.

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Paper citation in several formats:
Su, P.; Park, B. and Son, S. (2017). Highway Reservation Strategy: Analytical Modeling Approach. In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-242-4; ISSN 2184-495X, SciTePress, pages 252-259. DOI: 10.5220/0006305702520259

@conference{vehits17,
author={Peng Su. and B. Brian Park. and Sang H. Son.},
title={Highway Reservation Strategy: Analytical Modeling Approach},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2017},
pages={252-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006305702520259},
isbn={978-989-758-242-4},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Highway Reservation Strategy: Analytical Modeling Approach
SN - 978-989-758-242-4
IS - 2184-495X
AU - Su, P.
AU - Park, B.
AU - Son, S.
PY - 2017
SP - 252
EP - 259
DO - 10.5220/0006305702520259
PB - SciTePress