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Optimal Fleet Allocation of Freeway Service Patrols

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  • Yafeng Yin

Abstract

As one component of traffic incident management systems, freeway service patrols (FSP) facilitate quick removal of incidents through faster response and reduced clearance time. This paper is to investigate how to allocate tow trucks among patrol beats to maximize the effectiveness of the FSP services. A min–max bi-level programming model is proposed to determine an optimal fleet allocation that minimizes the maximal system travel time that incidents may incur. A heuristic iterative solution algorithm is proposed to solve the model. Both the model and the algorithm are demonstrated and validated through a numerical example. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Yafeng Yin, 2006. "Optimal Fleet Allocation of Freeway Service Patrols," Networks and Spatial Economics, Springer, vol. 6(3), pages 221-234, September.
    • Handle: RePEc:kap:netspa:v:6:y:2006:i:3:p:221-234
    DOI: 10.1007/s11067-006-9281-z
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    References listed on IDEAS

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    Cited by:

    1. Nicole Adler & Alfred Hakkert & Jonathan Kornbluth & Tal Raviv & Mali Sher, 2014. "Location-allocation models for traffic police patrol vehicles on an interurban network," Annals of Operations Research, Springer, vol. 221(1), pages 9-31, October.
    2. Zvi Drezner & George Wesolowsky, 2014. "Covering Part of a Planar Network," Networks and Spatial Economics, Springer, vol. 14(3), pages 629-646, December.
    3. Xiuqiao Sun & Jian Wang & Weitiao Wu & Wenjia Liu, 2018. "Genetic Algorithm for Optimizing Routing Design and Fleet Allocation of Freeway Service Overlapping Patrol," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    4. Marina Baltar & Victor Abreu & Glaydston Ribeiro & Laura Bahiense, 2021. "Multi-objective model for the problem of locating tows for incident servicing on expressways," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 58-77, April.
    5. Kaan Ozbay & Cem Iyigun & Melike Baykal-Gursoy & Weihua Xiao, 2013. "Probabilistic programming models for traffic incident management operations planning," Annals of Operations Research, Springer, vol. 203(1), pages 389-406, March.

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