Research on green multimodal transportation path optimization based on distributionally robust chance constraints with uncertain demand

Yu Peng

doi:10.1117/12.3054875

20 December 2024 Research on green multimodal transportation path optimization based on distributionally robust chance constraints with uncertain demand

Yu Peng

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 1342161 (2024) https://doi.org/10.1117/12.3054875
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

Multimodal container transportation is an effective method for reducing carbon footprint levels. Considering the scenario of uncertain customer demand as well as carbon emission restrictions and cargo damage rate constraints, based on the probability distribution of uncertain demand mean and variance, this paper proposes the worst-case target chance constraint with customer demand being satisfied, establishes a green multimodal transportation route optimization model based on distributionally robust chance constraints with uncertain customer demand, and uses the DR-VaR concept to transform the model into a mixed integer linear programming model, which is then solved precisely. Through sensitivity analysis of the chance-constraint probability level of customer demand, it has been found that changes in the chance-constraint probability level lead to non-linear changes in the total cost. The higher the requirement of the chance-constraint probability level, the more it will increase the total cost of intermodal transportation. Compared to changing the transportation plan, the transportation network generally chooses to increase transportation costs to counter the disturbances of uncertain customer demands, and as much as possible, adhere to the original transportation routes and modes.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yu Peng "Research on green multimodal transportation path optimization based on distributionally robust chance constraints with uncertain demand", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 1342161 (20 December 2024); https://doi.org/10.1117/12.3054875

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE