most citedA Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 2 cited

A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data

Bing Liu, Yu Tang, Yuxiong Ji +2

Ramp metering that uses traffic signals to regulate vehicle flows from the on-ramps has been widely implemented to improve vehicle mobility of the freeway. Previous studies general…

physics.soc-ph2020

Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network

Baichuan Mo, Kairui Feng, Yu Shen +4

Passenger contact in public transit (PT) networks can be a key mediate in the spreading of infectious diseases. This paper proposes a time-varying weighted PT encounter network to…

physics.soc-ph2020

Competition between shared autonomous vehicles and public transit: A case study in Singapore

Baichuan Mo, Zhejing Cao, Hongmou Zhang +2

Emerging autonomous vehicles (AV) can either supplement the public transportation (PT) system or compete with it. This study examines the competitive perspective where both AV and…