We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Vehicle Routing Problem Model with Practicality.
- Authors
Park, SeJoon; Ha, Chunghun; Seok, Hyesung
- Abstract
Truck platooning has recently become an essential issue in automatic driving. Though truck platooning can increase safety and reduce fuel consumption and carbon emissions, the practical vehicle routing problem involved in truck platooning has not been sufficiently addressed. Therefore, we design a mixed-integer linear programming model for the routing problem in truck platooning considering the deadline of vehicles, continuous-time units, different fuel reduction rates, traffic congestion avoidance, and heterogeneous vehicles. In addition, a forward–backward heuristic called the "greedy heuristic" is presented for reasonable computation time. To validate the model's performance, several parameters, such as the percentage of fuel reduction, percentage of detour vehicles, and percentage of platooned links (road segments), are considered. Additionally, various cases are considered with varying fuel reduction rates, traffic flow rates, and time windows.
- Subjects
TRUCK fuel consumption; LINEAR programming; VEHICLE routing problem; TRAFFIC congestion; ENERGY consumption; TRAFFIC flow; TRUCK driving; CARBON emissions; MIXED integer linear programming
- Publication
Processes, 2023, Vol 11, Issue 3, p654
- ISSN
2227-9717
- Publication type
Article
- DOI
10.3390/pr11030654