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[121860] Rozdział: Distance Matrix generation for Dynamic Vehicle Routing optimization in transport fleets managementw książce: Artificial Intelligence and Sustainable ComputingISSN: 2524-7573 ISBN: 978-981-19-1653-3 Wydawca: Springer Opublikowano: Listopad 2022 Miejsce wydania: Singapore Seria wydawnicza: Algorithms for Intelligent Systems Liczba stron: 13 Liczba arkuszy wydawniczych: 0.80 Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Autorstwo rozdziału w monografii z listy wydawnictw 2019 Punkty MNiSW: 20 DOI Keywords: WorkForce Management  Vehicle Routing Problem  Distance Matrix  Optimization  Mapping APIs  |
Generation the Distance Matrix (DMx) is an important aspect that influences the correct solution of the routing problem in the dynamic variant. In the case of a frequent changing of points number and location, a continuous and effective update of the data is required, e.g., from more and more popular services such as Mapping APIs. The time-consuming nature of this process, which may extend the planning process, was emphasized. The article discusses the possibility of estimating the distance matrix based on the correction of the “haversine” distance. Method for the generation and updating of the DMx was proposed. The influence of update progress on some optimization algorithms was investigated. The research was carried out on the example of the real VRP problem. It was found that even a partial DMx update can significantly reduce the discrepancy between the VRP optimization results.