caa a22 4500 467928584 CHVBK 20180406152936.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s11067-006-9281-z doi (NATIONALLICENCE)springer-10.1007/s11067-006-9281-z Yin Yafeng Department of Civil and Coastal Engineering, University of Florida, 365 Weil Hall, P.O. Box 116580, 32611, Gainesville, FL, USA aut Optimal Fleet Allocation of Freeway Service Patrols [Elektronische Daten] [Yafeng Yin] 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. Springer Science + Business Media, LLC, 2006 Freeway service patrols nationallicence Fleet allocation nationallicence Robust optimization nationallicence Networks and Spatial Economics Kluwer Academic Publishers 6/3-4(2006-09-01), 221-234 1566-113X 6:3-4<221 2006 6 11067 https://doi.org/10.1007/s11067-006-9281-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11067-006-9281-z text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Yin Yafeng Department of Civil and Coastal Engineering, University of Florida, 365 Weil Hall, P.O. Box 116580, 32611, Gainesville, FL, USA aut NATIONALLICENCE 773 0- Networks and Spatial Economics Kluwer Academic Publishers 6/3-4(2006-09-01), 221-234 1566-113X 6:3-4<221 2006 6 11067 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer