M-GRASP: a GRASP with memory for latency-aware partitioning methods in DVE systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Management of Bus Driver Duties Using Data Mining
International Journal of Applied Metaheuristic Computing
Dynamic Assignment of Crew Reserve in Airlines
International Journal of Applied Metaheuristic Computing
Towards proximity-based passenger sensing on public transport buses
Personal and Ubiquitous Computing
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A heuristic approach, ZEST for ESTimator, is developed to analyze bus driver scheduling problems and produce an estimate of the number of drivers required for a bus schedule. Based on the observation that the maximum number of drivers is needed in the morning and afternoon peaks, ZEST divides the driver scheduling problem into morning and afternoon subproblems, solves each subproblem separately, and, finally, combines the solutions. The key techniques in ZEST derive from manual scheduling operations that examine the critical decision points in a bus schedule that are vital for a good driver schedule and use these decision points to develop chains of meal breaks that dovetail one driver's meal break with another driver's. ZEST can be used as a standalone estimator of driver duties or as a component of other driver scheduling approaches