This paper presents a model for optimising truck platoons formed at a platooning hub. Different planning and dispatching strategies, from static to dynamic, are investigated with respect to profitability and fuel savings across a range of input variables. The problem is solved using a dynamic programming based local search heuristic. As a case study, a virtual platooning hub close to the German Elb Tunnel is examined using data from a large European transport network model. It is concluded that profitability crucially depends on; (i)dynamic outlook and (ii)if chauffeurs are allowed to rest while driving in platoons.
|Journal||Transportation Research Part E: Logistics and Transportation Review|
|Publication status||Published - 2019|
- Discrete event simulation
- Logistic optimisation
- Logistic planning
- Truck platooning