2 papers
math.OC2026
Compressed Traffic Assignment with the Augmented Lagrangian Method
Xuesong Zhou, Peiheng Li, Yuchao Li +1
We consider large-scale traffic assignment problems and develop a path-based compression framework. In particular, we partition paths into major and minor paths according to a set…
cs.MA2025
Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map (extended version)
Daniel Garces, Sushmita Bhattacharya, Dimitri Bertsekas +1
In this paper, we focus on the autonomous multiagent taxi routing problem for a large urban environment where the location and number of future ride requests are unknown a-priori,…