Publication

Abstract : This work addresses the optimization of truck platooning in the capacitated vehicle routing problem (CVRP) for logistics networks, where trucks carry goods to multiple customers. The problem is crucial because it has an immediate bearing on fuel consumption, operational costs, and the sustainability of freight transport. A simulation modeling, and optimization approach that integrates Google Maps API, OR-Tools, and Knapsack grouping is adopted to develop a scalable solution. This has resulted into 3.9 % reduction in operational costs and 4% fuel savings while maintaining a high vehicle utilization efficiency of 96.67 %, demonstrating reasonable improvements in route planning and resource allocation. Based on this work, logistics firms will be able to capitalize on optimized truck fleet operations at reduced cost and enhance sustainability.