A VEHICLE ROUTING PLANNING SYSTEM FOR GOODS DISTRIBUTION IN URBAN AREAS USING GOOGLE MAPS AND GENETIC ALGORITHM
Journal Title: INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING - Year 2016, Vol 6, Issue 2
Abstract
This article presents a system aimed at generating optimized vehicles routes - the vehicle routing problem with time windows (VRPTW) based on using a Google Maps™ network data and imperialist competitive algorithm meta-heuristic. The vehicle routing problem with time windows is an important problem in the supply chain management. It copes with route scheduling and the distribution of goods from the distribution center to geographically dispersed customers in urban areas by a fleet of vehicles with constrained capacities. The system was tested for urban goods distribution in Sofia, Bulgaria - 35 retailers, warehouse, two types of vehicles (capacity) and a working day.
Authors and Affiliations
Teodor Berov
Keywords
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- EP ID EP149174
- DOI http://dx.doi.org/10.7708/ijtte.2016.6(2).04
- Views 124
- Downloads 0
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