Hong Zhu

Orcid: 0000-0003-0358-6724

Affiliations:
  • Tongji University, College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Shanghai, China


According to our database1, Hong Zhu authored at least 12 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Leveraging Trajectory Continuity to Enhance Real-Time Traffsic Signal Control With Limited Connected Vehicle Provision.
IEEE Intell. Transp. Syst. Mag., 2026

2025
Connected Vehicle Data-Driven Robust Optimization for Traffic Signal Timing: Modeling Traffic Flow Variability and Errors.
IEEE Trans. Intell. Transp. Syst., December, 2025

Robust Estimation of Traffic Arrival Rates at Signalized Intersections With Sparse Internet of Vehicles.
IEEE Internet Things J., October, 2025

Predictive and Multigranularity Resilience Assessment of Urban Transportation Based on Neural Controlled Differential Equation.
IEEE Trans. Reliab., September, 2025

Sharing Control Knowledge Among Heterogeneous Intersections: A Distributed Arterial Traffic Signal Coordination Method Using Multi-Agent Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., February, 2025

An adversarial diverse deep ensemble approach for surrogate-based traffic signal optimization.
Comput. Aided Civ. Infrastructure Eng., February, 2025

Quantifying Autonomy Levels of Traffic Signal Control Within Autonomous Traffic Systems Based on AHP-TOPSIS.
Syst., 2025

A distributed model predictive approach for network traffic signal control using multi-objective dynamic programming.
Comput. Aided Civ. Infrastructure Eng., 2025

LLM Distilled Spatio-Temporal Prompt Network for Traffic Forecasting.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024
A Coordination Graph Based Framework for Network Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., October, 2024

Integrating Multi-Graph Convolutional Networks and Temporal-Aware Multi-Head Attention for Lane-Level Traffic Flow Prediction in Urban Networks.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Intersection Dynamics-Aware Continuous Learning in Adaptive Traffic Signal Control Featuring Fast Startup and Adaptation.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024


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