activity
20222026
most citedPrivacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment

47 citations · 92 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2026

SelectLight: Learning to Select Signal Plans Generated by Distributed Model Predictive Control for Urban Traffic Networks

Lyuzhou Luo, Chaopeng Tan, Zhengyong Gao +3

Coordinated traffic signal control across urban networks must adapt to changing demand while satisfying operational constraints. Multi-objective distributed model predictive contro…

math.OC2025

Collaborating Unmanned Aerial Vehicle and Ground Sensors for Urban Signalized Network Traffic Monitoring

Jiarong Yao, Chaopeng Tan, Meng Wang +1

Reliable estimation of network-wide traffic states is essential for urban traffic management. Unmanned Aerial Vehicles (UAVs), with their airborne full-sample continuous trajectory…

math.OC2025

Optimal Unmanned Aerial Vehicle Deployment for Macro-Micro Traffic Monitoring Fused with Connected Vehicles

Chaopeng Tan, Jiarong Yao, Meng Wang

Reliable estimation of macro and micro traffic states is essential for urban traffic management. Unmanned Aerial Vehicles, with their airborne full-sample continuous trajectory obs…

physics.soc-ph2025

Arrival flow profile estimation and predication for urban arterials using license plate recognition data

Hao Wu, Jiarong Yao, Peize Kang +5

Arrival flow profiles enable precise assessment of urban arterial dynamics, aiding signal control optimization. License Plate Recognition (LPR) data, with its comprehensive coverag…

eess.SP2024★ 1 cited

A Probabilistic Approach for Queue Length Estimation Using License Plate Recognition Data: Considering Overtaking in Multi-lane Scenarios

Lyuzhou Luo, Hao Wu, Jiahao Liu +2

Multi-section license plate recognition (LPR) data provides input-output information and sampled travel times of the investigated link, serving as an ideal data source for lane-bas…

math.OC2024★ 1 cited

Connected Vehicle Data-driven Robust Optimization for Traffic Signal Timing: Modeling Traffic Flow Variability and Errors

Chaopeng Tan, Yue Ding, Kaidi Yang +2

Recent advancements in Connected Vehicle (CV) technology have prompted research on leveraging CV data for more effective traffic management. Despite the low penetration rate, such…

eess.SY2023★ 47 cited

Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment

Chaopeng Tan, Kaidi Yang

Although Connected Vehicles (CVs) have demonstrated tremendous potential to enhance traffic operations, they can impose privacy risks on individual travelers, e.g., leaking sensiti…

math.ST2022★ 5 cited

Joint Estimation of Multi-phase Traffic Demands at Signalized Intersections Based on Connected Vehicle Trajectories

Chaopeng Tan, Jiarong Yao, Xuegang +2

Accurate traffic demand estimation is critical for the dynamic evaluation and optimization of signalized intersections. Existing studies based on connected vehicle (CV) data are de…

math.OC2022★ 38 cited

Cumulative Flow Diagram-Based Fixed-Time Signal Timing Optimization at Isolated Intersections Using Connected Vehicle Trajectory Data

Chaopeng Tan, Yumin Cao, Xuegang +2

Time-dependent fixed-time control is a cost-effective control method that is widely employed at signalized intersections in numerous countries. Existing optimization models rely on…