TY - GEN
T1 - A Traffic Assignment Model on Supernetworks Considering Demand Uncertainty
AU - Zhang, Siyue
AU - Xiao, Yiyong
AU - Cui, Xinhao
AU - Li, Bo
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Modelling the traffic assignment problem (TAP) is essential to capture the travelers' behaviors and predict the flow distribution in transportation networks. This problem has been extensively studied on road and highway networks. However, when multiple modes of transportation, such as cars, trains, planes, or ships, are involved, finding the optimal flow distribution becomes more complex. Different modes of transportation rely on different networks. A supernetwork is a large network that encompasses multiple sub-networks. In this paper, we define the supernetwork and then formulate the traffic assignment problem on supernetworks (TAP-SN) considering demand uncertainty as a linear programming model. The proposed model is solved using the commercial optimization toolbox CPLEX, with promising results, thus confirming the efficiency and effectiveness of the approach.
AB - Modelling the traffic assignment problem (TAP) is essential to capture the travelers' behaviors and predict the flow distribution in transportation networks. This problem has been extensively studied on road and highway networks. However, when multiple modes of transportation, such as cars, trains, planes, or ships, are involved, finding the optimal flow distribution becomes more complex. Different modes of transportation rely on different networks. A supernetwork is a large network that encompasses multiple sub-networks. In this paper, we define the supernetwork and then formulate the traffic assignment problem on supernetworks (TAP-SN) considering demand uncertainty as a linear programming model. The proposed model is solved using the commercial optimization toolbox CPLEX, with promising results, thus confirming the efficiency and effectiveness of the approach.
KW - demand uncertainty
KW - linear programming
KW - supernetwork
KW - traffic assignment problem
UR - https://www.scopus.com/pages/publications/105030042839
U2 - 10.1109/ICRMS65480.2025.00044
DO - 10.1109/ICRMS65480.2025.00044
M3 - 会议稿件
AN - SCOPUS:105030042839
T3 - Proceedings - 2025 16th International Conference on Reliability, Maintainability and Safety, ICRMS 2025
SP - 215
EP - 221
BT - Proceedings - 2025 16th International Conference on Reliability, Maintainability and Safety, ICRMS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Reliability, Maintainability and Safety, ICRMS 2025
Y2 - 27 July 2025 through 30 July 2025
ER -