
We deal here with a static decisional model related to the monitoring of a DARP (Dial and Ride) model which involves, on a closed industrial site, small electrical autonomous vehicles. Because of technological issues, we focus on reliability, and propose a model which assign requests to vehicles while minimizing Load/Unload transactions. We study this model through both a Branch/Price approach, which provides us with benchmarks, and insertion based heuristics, well-fitted to dynamic contexts.
dial and ride system, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], graph coloring model, Sciences de l'ingénieur, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], vehicle scheduling, Scheduling Automated Vehicles, load/unload transaction minimization, industrial site, Branch and Price, decisional model, Real-time systems, Load modeling, minimisation, autonomous vehicle, tree searching, Computational modeling, Vehicles, Vectors, Reliability, Minimization, branch and price approach, electrical autonomous vehicles, DARP, reliability oriented DARP model, vehicle routing, Sciences exactes et naturelles
dial and ride system, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], graph coloring model, Sciences de l'ingénieur, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], vehicle scheduling, Scheduling Automated Vehicles, load/unload transaction minimization, industrial site, Branch and Price, decisional model, Real-time systems, Load modeling, minimisation, autonomous vehicle, tree searching, Computational modeling, Vehicles, Vectors, Reliability, Minimization, branch and price approach, electrical autonomous vehicles, DARP, reliability oriented DARP model, vehicle routing, Sciences exactes et naturelles
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