Energy overuse in transportation is recently generating harmful effects to the environment. Green logistics is becoming a prospective trend in the growing logistics industry. This paper investigates the green vehicle routing problem (Green-VRP), with two objectives: minimizing combined fuel emissions and minimizing distance traveled with capacitated vehicles. An improved K-means clustering method is employed to group demand nodes to reduce the size of the problem. The model is then verified using a set of customers in Ho Chi Minh city, computational results show 3 clusters of customers. In addition, a real application for mobile phones namely “Control Fleet Vehicle” is created to help users control their fleets of vehicles and connect easily to customers.
A Practical Green Vehicle Routing Solution – A Case in Ho Chi Minh City
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