Capacitated Vehicle Routing Problem in Truck Platooning: Challenges and Solutions

Abstract

Capacitated Vehicle Routing Problem (ACVRP) in truck platooning presents a multifaceted challenge in logistics and transportation optimization. Truck platooning, where multiple trucks travel closely together to reduce aerodynamic drag and fuel consumption, introduces complexities such as varying capacities, route constraints, and coordination among platooning vehicles. The ACVRP seeks to minimize costs while adhering to vehicle capacity limits and considering the interdependencies among platooned trucks. Challenges include the dynamic nature of platooning formations, the need for real-time decision-making, and the integration of vehicle-specific constraints. Solutions involve advanced mathematical models, heuristic algorithms, and machine learning techniques to optimize routing, scheduling, and platooning configurations. Addressing these challenges enhances efficiency, reduces operational costs, and promotes sustainable transportation practices in modern logistics scenarios.