Multi-modal transport is increasingly popular with the advent of diverse traffic modes, presenting new challenges for transport researchers. This paper introduces an augmented link-based super-network approach to model multi-modal transport networks, addressing scalability and versatility limitations of conventional methods. By formulating travel costs as a sum of augmented link cost functions, the approach eliminates the need for enumerating feasible paths. Restrictions on mode transfers are modeled via infeasible link exclusion or penalties. The user equilibrium is solved as a variational inequality using the extra-gradient algorithm. Case studies validate the model’s scalability and effectiveness for managing complex multi-modal transport networks.
Author: Dingshan Sun
Publication date: 2024