.png){kind=icon}
.png){kind=icon}
Return
Multi-class freight tour synthesis model incorporating environmental, entropy, cost, and travel time objectives
.png){kind=icon}
PRE
AI
H
L
C
D
L
DOI：10.1016/j.cie.2025.111763.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A multi-objective and multiclass freight tour synthesis model is developed to support sustainable transportation planning. • The model simultaneously maximizes trip entropy and minimizes cost, time, and CO2 emissions. • A Pareto frontier of solutions is generated using the epsilon-constraint method, enabling the exploration of trade-offs. • The TOPSIS multicriteria decision-making method is applied to rank solutions based on different objective weights. • A sensitivity analysis confirms that solution rankings depend significantly on the relative importance of each criterion. • Incorporating environmental and entropy objectives improves the system’s sustainability, flexibility, and adaptability.
Journal
IF:
6.5
Papers:
1.0W
Citations:
3.8W
Organization
Cited Papers