EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
1846. Port-hinterland transport: addressing sustainability with cooperation and electric trucks
Invited abstract in session TD-62: Sustainable freight transportation, stream OR in Port Operations.
Tuesday, 14:30-16:00Room: S12 (building: 101)
Authors (first author is the speaker)
1. | Claudia Caballini
|
Department of Environmental Engineering , Land and Infrastrucures , Politecnico di Torino | |
2. | Erika Olivari
|
Politecnico di Torino | |
3. | Simona Sacone
|
DIST, University of Genova | |
4. | Mahnam Saeednia
|
Tu delft |
Abstract
Vehicle electrification represents one of the most promising solutions to significantly reduce road transport emissions, paying attention to the full energy cycle. However, truck electrification has downsides such as economic investments, limited battery life and charging time requirements. Cooperation is another lever for increasing sustainability: sharing transport orders allows the reduction of the number of trucks needed to meet the transport demand, resulting in increased profits and reduced CO2 emissions.
This paper proposes an optimization model for the cooperative planning of road transport operations, matching trips owned by different carriers and assigning them to a fleet of diesel and electric trucks. The final objective is to maximize the total carriers’ profit while reducing emission costs. Time windows, haulers’ driving constraints, maximum duration of electric batteries, charging times and emissions costs are considered. A compensation mechanism is introduced to motivate carriers to share their trips. The problem is solved using exact approaches and evaluated using a real data-set related to the port of Genoa and its hinterland. An experimental campaign is carried out, making sensitivity analysis on some significant factors of the problem. A numerical analysis is realized to evaluate the computational effort necessary to solve large-size case studies and an appropriate heuristic approach is designed for large problem instances.
Keywords
- Transportation
- Optimization Modeling
- Programming, Linear
Status: accepted
Back to the list of papers