Yuhang Zhang

Orcid: 0000-0002-8408-2095

Affiliations:
  • Vanderbilt University, Department of Civil and Environmental Engineering, Nashville, TN, USA


According to our database1, Yuhang Zhang authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Phase Re-service in Reinforcement Learning Traffic Signal Control.
CoRR, 2024

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers.
CoRR, 2024

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection.
CoRR, 2024

MARVEL: Bringing Multi-Agent Reinforcement- Learning Based Variable Speed Limit Controllers Closer to Deployment.
IEEE Access, 2024

A Middle Way to Traffic Enlightenment.
Proceedings of the 15th ACM/IEEE International Conference on Cyber-Physical Systems, 2024

2023
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits.
CoRR, 2023

CAVTraffic Control to Mitigate the Impact of Congestion from Bottlenecks: A Linear Quadratic Regulator Approach and Microsimulation Study.
CoRR, 2023

Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks.
Proceedings of the ACM Web Conference 2023, 2023

Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Exploring CAV-Based Traffic Control for Improving Traffic Conditions in the Face of Bottlenecks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022


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