most citedDeep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2023★ 2 cited

Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion

Ashutosh Dutta, Milan Jain, Arif Khan +1

Collisions, crashes, and other incidents on road networks, if left unmitigated, can potentially cause cascading failures that can affect large parts of the system. Timely handling…

physics.soc-ph2020

Street-level Travel-time Estimation via Aggregated Uber Data

Kelsey Maass, Arun V Sathanur, Arif Khan +1

Estimating temporal patterns in travel times along road segments in urban settings is of central importance to traffic engineers and city planners. In this work, we propose a metho…