Zhibin Li

Orcid: 0000-0001-7192-6853

Affiliations:

Southeast University, Jiangsu Key Laboratory of Urban ITS, Nanjing, China
University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, USA (former)
Southeast University, School of Transportation, Nanjing, China (PhD 2014)

According to our database¹, Zhibin Li authored at least 30 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Article

PhD thesis

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Bibliography

2024

A Joint Spatiotemporal Prediction and Image Confirmation Model for Vehicle Trajectory Concatenation With Low Detection Rates.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., September, 2024

Enhancing Car-Following Performance in Traffic Oscillations Using Expert Demonstration Reinforcement Learning.

[BibT_eX]

[DOI]

Meng Li

Zhibin Li

Zehong Cao

IEEE Trans. Intell. Transp. Syst., July, 2024

Collision Avoidance Motion Planning for Connected and Automated Vehicle Platoon Merging and Splitting With a Hybrid Automaton Architecture.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2024

2023

Anti-Disturbance Self-Supervised Reinforcement Learning for Perturbed Car-Following System.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., September, 2023

Enhancing Cooperation of Vehicle Merging Control in Heavy Traffic Using Communication-Based Soft Actor-Critic Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., June, 2023

TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population.

[BibT_eX]

[DOI]

CoRR, 2023

2022

An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Jam-Absorption Driving Strategy for Improving Safety Near Oscillations in a Connected Vehicle Environment Considering Consequential Jams.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2022

2021

A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations.

[BibT_eX]

[DOI]

Meng Li

Zehong Cao

Zhibin Li

IEEE Trans. Neural Networks Learn. Syst., 2021

Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks Near Traffic Oscillations on Freeways.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2021

2020

Mixed Road User Trajectory Extraction From Moving Aerial Videos Based on Convolution Neural Network Detection.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2019

An Eco-Driving Signal Control Model for Divisible Electric Platoons in Cooperative Vehicle-Infrastructure Systems.

[BibT_eX]

[DOI]

IEEE Access, 2019

Procedure for Determining the Deployment Locations of Variable Speed Limit Signs to Reduce Crash Risks at Freeway Recurrent Bottlenecks.

[BibT_eX]

[DOI]

IEEE Access, 2019

Using Asymmetric Theory to Identify Heterogeneous Drivers' Behavior Characteristics Through Traffic Oscillation.

[BibT_eX]

[DOI]

IEEE Access, 2019

Exploring Risk Factors With Crashes by Collision Type at Freeway Diverge Areas: Accounting for Unobserved Heterogeneity.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Development of analytical procedure for selection of control measures to reduce congestions at various freeway bottlenecks.

[BibT_eX]

[DOI]

J. Intell. Transp. Syst., 2018

Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Reinforcement Learning-Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2017

Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2017

2016

A Two-Layer Model for Taxi Customer Searching Behaviors Using GPS Trajectory Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2016

Optimal Mainline Variable Speed Limit Control to Improve Safety on Large-Scale Freeway Segments.

[BibT_eX]

[DOI]

Comput. Aided Civ. Infrastructure Eng., 2016

2015

Multi-objective optimization of urban bus network using cumulative prospect theory.

[BibT_eX]

[DOI]

J. Syst. Sci. Complex., 2015

Applying semi-supervised learning method for cellphone-based travel mode classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE First International Smart Cities Conference, 2015

Motion-vector clustering for traffic speed detection from UAV video.

[BibT_eX]

[DOI]

Proceedings of the IEEE First International Smart Cities Conference, 2015

2014

Development of a Control Strategy of Variable Speed Limits to Reduce Rear-End Collision Risks Near Freeway Recurrent Bottlenecks.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2014

Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2014

Zhibin Li

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