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Intelligent GISbased Decision Support System for Bus Routing Problem: Intelligent GISbased DSS for Solving SBRP,Used
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The school bus routing problem (SBRP) is a central issue in transportation planning and optimization systems. SBRP seeks to plan an efficient schedule for a fleet of school buses where each bus picks up students from various bus stops and delivers them to their designated schools while satisfying various constraints such as the bus capacity. Due to its complexity, many heuristics have been proposed to solve this combinatorial problem in an effective way. In this book, geographic information systems (GIS)based decisionmaking framework that combines GIS, clustering techniques, network cutting techniques, and a hybrid ant colony optimization metaheuristic with the iterated LinKernighan local improvement heuristic is proposed for solving the SBRP as a split delivery vehicle routing problem (SDVRP). Experiments were conducted for evaluating the proposed framework by comparing the results from it and ArcGIS 9.2 Network Analyst which uses the greedy Dijkstras algorithm. The reported results of the proposed framework generally outperform that of the ArcGIS. IIn addition, the proposed decisionmaking framework was applied to solve a real life SBRP to demonstrate its application.
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