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20242026
most citedA Probabilistic Approach for Queue Length Estimation Using License Plate Recognition Data: Considering Overtaking in Multi-lane Scenarios

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 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…

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…

cs.AI2024

Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning

Jiaming Yin, Weixiong Rao, Yu Xiao +1

In this paper, we study the shortest path problem (SPP) with multiple source-destination pairs (MSD), namely MSD-SPP, to minimize average travel time of all shortest paths. The inh…

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…