Operational Planning of Truck Platooning in Capacity-Constrained Routes

Abstract

Operational planning for truck platooning in capacity-constrained routes involves strategic coordination and logistical optimization aimed at maximizing efficiency and throughput in transportation networks. This abstract explores the implementation of truck platooning, where groups of trucks travel closely together to reduce aerodynamic drag and fuel consumption, thus enhancing fuel efficiency and reducing emissions. The planning process considers route constraints such as narrow lanes, steep grades, and traffic density, employing algorithms to determine optimal platoon formations and scheduling. Key objectives include minimizing delays, improving safety through automated driving technologies, and managing inter-platoon communication for synchronized maneuvers. By leveraging advanced data analytics and real-time monitoring, this operational framework seeks to mitigate congestion and enhance the overall reliability and sustainability of freight transportation systems in urban and interurban settings.