3 papers
cs.LG2025
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes
Xiaoyi Wu, Ravi Seshadri, Filipe Rodrigues +1
Tradable credit schemes (TCS) are an increasingly studied alternative to congestion pricing, given their revenue neutrality and ability to address issues of equity through the init…
physics.soc-ph2025
Choice Sets and Smart Card Data In Public Transport Route Choice Models: Generated vs. Empirical Sets
Georges Sfeir, Filipe Rodrigues, Ravi Seshadri +1
This study evaluates path sets generation for route choice models in multimodal public transportation networks, using both conventional (network algorithms) and empirical (smart ca…
cs.GT2025
Assessing the impacts of tradable credit schemes through agent-based simulation
Renming Liu, Dimitrios Argyros, Yu Jiang +3
Tradable credit schemes (TCS) have been attracting interest from the transportation research community as an appealing alternative to congestion pricing, due to the advantages of r…