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Analysis of an integrated maximum covering and patrol routing problem
Authors:Burcu B Keskin  Shirley LiDana Steil  Sarah Spiller
Institution:a Department of Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, AL 35487-0226, United States
b Department of Computer Science, University of Alabama, Tuscaloosa, AL 35487-0290, United States
c Department of Economics, Finance, and Legal Studies, University of Alabama, Tuscaloosa, AL 35487-0224, United States
Abstract:In this paper, we address the problem of determining the patrol routes of state troopers for maximum coverage of highway spots with high frequencies of crashes (hot spots). We develop a specific mixed integer linear programming model for this problem under time feasibility and budget limitation. We solve this model using local and tabu-search based heuristics. Via extensive computational experiments using randomly generated data, we test the validity of our solution approaches. Furthermore, using real data from the state of Alabama, we provide recommendations for (i) critical levels of coverage; (ii) factors influencing the service measures; and (iii) dynamic changes in routes.
Keywords:Maximum covering  Patrol routing  Time window  Public service  Local search  Tabu search
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