World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
7576
World Ranking
6146
National Ranking
1166

Overview

Zhibin Li is affiliated with Southeast University in China and has contributed extensively to the field of Engineering, with a focus on Control and Systems Engineering, Automotive Engineering, and Transportation. Their research broadly covers topics related to traffic control and management, autonomous vehicle technology and safety, and traffic and road safety.

Their work involves key areas such as traffic prediction and management techniques, transportation planning and optimization, urban transport and accessibility, as well as vehicle emissions and performance. This multidisciplinary approach reflects the integration of system engineering principles with practical transportation challenges.

Among their recent publications are several papers that have appeared in prestigious journals, including:

  • High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos, 2020, IEEE Transactions on Intelligent Transportation Systems
  • A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning, 2022, IEEE Transactions on Intelligent Transportation Systems
  • Spatiotemporal trajectory characteristic analysis for traffic state transition prediction near expressway merge bottleneck, 2020, Transportation Research Part C Emerging Technologies
  • Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning, 2020, IEEE Transactions on Intelligent Transportation Systems

Zhibin Li frequently collaborates with several co-authors, notably Pan Liu, Yuxuan Wang, Chengcheng Xu, Meng Li, and Kequan Chen, reflecting an active research network.

The scholar's most frequent publication venues include:

  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • Accident Analysis & Prevention
  • arXiv (Cornell University)
  • Transportation Research Part C Emerging Technologies

Their research encompasses a significant number of publications in key subfields of study such as:

  • Control and Systems Engineering
  • Automotive Engineering
  • Transportation
  • Safety, Risk, Reliability and Quality
  • Building and Construction

Zhibin Li's extensive output in engineering research contributes to multiple dimensions of traffic systems and autonomous vehicle technologies. Their work includes analytical and applied research, combining machine learning and control theory to address complex challenges in transportation efficiency and safety.

Best Publications

  • Using support vector machine models for crash injury severity analysis.

    Zhibin Li;Pan Liu;Weixu Wang;Chengcheng Xu

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

    Ruimin Ke;Zhibin Li;Jinjun Tang;Zewen Pan

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

    Jian Zhang;Zhibin Li;Ziyuan Pu;Chengcheng Xu

  • Evaluation of the impacts of traffic states on crash risks on freeways.

    Chengcheng Xu;Pan Liu;Weixu Wang;Zhibin Li

  • Crash injury severity analysis using a two-layer Stacking framework.

    Jinjun Tang;Jian Liang;Chunyang Han;Zhibin Li

  • Using Geographically Weighted Poisson Regression for county-level crash modeling in California

    Zhibin Li;Zhibin Li;Weixu Wang;Pan Liu;John M. Bigham

  • Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways.

    Ye Li;Zhibin Li;Hao Wang;Wei Wang

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

    Zhibin Li;Pan Liu;Chengcheng Xu;Hui Duan

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

    Ruimin Ke;Zhibin Li;Sung Kim;John Ash

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

    Xinqiang Chen;Zhibin Li;Yongsheng Yang;Lei Qi

  • Profit distribution in collaborative multiple centers vehicle routing problem

    Yong Wang;Xiaolei Ma;Zhibin Li;Yong Liu

  • Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities

    Zhibin Li;Wei Wang;Pan Liu;David R. Ragland

  • Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China.

    Yanyong Guo;Jibiao Zhou;Yao Wu;Zhibin Li

  • Bicycle commuting market analysis using attitudinal market segmentation approach

    Zhibin Li;Zhibin Li;Wei Wang;Chen Yang;David R. Ragland

  • Experimental investigation on using the electric vehicle air conditioning system for lithium-ion battery thermal management

    Jiwen Cen;Zhibin Li;Fangming Jiang

  • Exploring unobserved heterogeneity in bicyclists' red-light running behaviors at different crossing facilities

    Yanyong Guo;Yanyong Guo;Zhibin Li;Yao Wu;Chengcheng Xu

  • Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes.

    Chengcheng Xu;Zijian Ding;Chen Wang;Zhibin Li

  • Development of a variable speed limit strategy to reduce secondary collision risks during inclement weathers.

    Zhibin Li;Ye Li;Pan Liu;Weixu Wang

  • Modeling correlation and heterogeneity in crash rates by collision types using full bayesian random parameters multivariate Tobit model.

    Yanyong Guo;Yanyong Guo;Zhibin Li;Pan Liu;Yao Wu

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

    Meng Li;Zehong Cao;Zhibin Li

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

    Zhibin Li;Pan Liu;Wei Wang;Chengcheng Xu

  • Surrogate safety measure for evaluating rear-end collision risk related to kinematic waves near freeway recurrent bottlenecks

    Zhibin Li;Seongchae Ahn;Koohong Chung;David R. Ragland

Frequent Co-Authors

Pan Liu
Pan Liu Southeast University
Chengcheng Xu
Chengcheng Xu Southeast University
Yinhai Wang
Yinhai Wang University of Washington
Jinjun Tang
Jinjun Tang Central South University
Chunxiang Xu
Chunxiang Xu Southeast University
Yong Wang
Yong Wang Nanjing University
Zhiyuan Liu
Zhiyuan Liu Southeast University
Jun Chen
Jun Chen Nankai University
Zehong Cao
Zehong Cao University of South Australia
Michiel C.J. Bliemer
Michiel C.J. Bliemer University of Sydney

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