World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
10593
World Ranking
2697
National Ranking
538

Overview

Helai Huang is affiliated with Central South University in China and has a substantial body of research in the field of engineering, with a particular focus on traffic and road safety. Their work spans several subfields including safety, risk, reliability and quality, automotive engineering, control and systems engineering, transportation, and building and construction.

The scientist's research topics cover diverse areas within transportation and safety, including:

  • Traffic and Road Safety
  • Autonomous Vehicle Technology and Safety
  • Traffic Control and Management
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Human-Automation Interaction and Safety
  • Transportation Planning and Optimization

Helai Huang has published extensively, with a high number of contributions to the field. Frequent publication venues include:

  • Accident Analysis & Prevention
  • SSRN Electronic Journal
  • Analytic Methods in Accident Research
  • Transportation Safety and Environment
  • IEEE Transactions on Intelligent Transportation Systems

Recent significant papers authored or coauthored by Huang cover topics ranging from surrogate safety measures to real-time traffic safety evaluation and clearance time prediction, as exemplified by the following works:

  • A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling (2021), published in Accident Analysis & Prevention
  • Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review (2020), published in Analytic Methods in Accident Research
  • A high-resolution trajectory data driven method for real-time evaluation of traffic safety (2021), published in Accident Analysis & Prevention
  • Global road traffic injury statistics: Challenges, mechanisms and solutions (2020), published in Chinese Journal of Traumatology
  • Using traffic flow characteristics to predict real-time conflict risk: A novel method for trajectory data analysis (2022), published in Analytic Methods in Accident Research

Collaborations have been a significant aspect of Huang's research, with frequent co-authors including:

  • Jaeyoung Lee
  • Rui Zhou
  • Jieling Jin
  • Hanchu Zhou
  • Jinjun Tang

Best Publications

  • Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis.

    Helai Huang;Hoong Chor Chin;Md. Mazharul Haque

  • A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling.

    Chen Wang;Yuanchang Xie;Helai Huang;Pan Liu

  • Multilevel data and Bayesian analysis in traffic safety

    Hongwei Huang;Mohamed Ahmed Abdel-Aty

  • Modeling crash spatial heterogeneity: random parameter versus geographically weighting.

    Unknown

  • County-Level Crash Risk Analysis in Florida: Bayesian Spatial Modeling

    Helai Huang;Mohamed A. Abdel-Aty;Ali Lotfi Darwiche

  • A study on crashes related to visibility obstruction due to fog and smoke

    Mohamed Ahmed Abdel-Aty;Al-Ahad Ekram;Hongwei Huang;Keechoo Choi

  • Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway

    Mohamed Ahmed;Hongwei Huang;Mohamed Ahmed Abdel-Aty;Bernardo Guevara

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

    Jinjun Tang;Jian Liang;Chunyang Han;Zhibin Li

  • Diagnostic analysis of the effects of weather condition on pedestrian crash severity.

    Xiaoqi Zhai;Helai Huang;N.N. Sze;Ziqi Song

  • Modeling fault among motorcyclists involved in crashes

    M Mazharul Haque;Hoong Chor Chin;Helai L Huang

  • Motor vehicle–bicycle crashes in Beijing: Irregular maneuvers, crash patterns, and injury severity

    Xinping Yan;Ming Ma;Ming Ma;Hongwei Huang;Mohamed Ahmed Abdel-Aty

  • Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections.

    Md. Mazharul Haque;Hoong Chor Chin;Helai Huang

  • Empirical Evaluation of Alternative Approaches in Identifying Crash Hot Spots: Naive Ranking, Empirical Bayes, and Full Bayes Methods

    Helai Huang;Hoong Chor Chin;Md. Mazharul Haque

  • A multivariate spatial model of crash frequency by transportation modes for urban intersections

    Helai Huang;Hanchu Zhou;Jie Wang;Fangrong Chang

  • A stable and optimized neural network model for crash injury severity prediction.

    Unknown

  • Examining driver injury severity outcomes in rural non-interstate roadway crashes using a hierarchical ordered logit model.

    Unknown

  • Bayesian spatial joint modeling of traffic crashes on an urban road network.

    Unknown

  • Macro and micro models for zonal crash prediction with application in hot zones identification

    Helai Huang;Bo Song;Pengpeng Xu;Qiang Zeng

  • Multi-level hot zone identification for pedestrian safety

    Jaeyoung Lee;Mohamed Ahmed Abdel-Aty;Keechoo Choi;Hongwei Huang

  • Integrating Trip and Roadway Characteristics to Manage Safety in Traffic Analysis Zones

    Mohamed Ahmed Abdel-Aty;Chowdhury Siddiqui;Hongwei Huang;Xuesong Wang

  • Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review

    Jinjun Tang;Lanlan Zheng;Chunyang Han;Weiqi Yin

  • A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity.

    Qiang Zeng;Huiying Wen;Helai Huang;Xin Pei

  • A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments.

    Qiang Zeng;Huiying Wen;Hongwei Huang;Mohamed Ahmed Abdel-Aty

  • Safety of Public Transportation Occupational Drivers: Risk Perception, Attitudes, and Driving Behavior

    Ming Ma;Xinping Yan;Helai Huang;Mohamed Abdel-Aty

Frequent Co-Authors

Jaeyoung Lee
Jaeyoung Lee Central South University
Mohamed Abdel-Aty
Mohamed Abdel-Aty University of Central Florida
Sze Chun Wong
Sze Chun Wong University of Hong Kong
Md. Mazharul Haque
Md. Mazharul Haque Queensland University of Technology
Jinjun Tang
Jinjun Tang Central South University
Xinping Yan
Xinping Yan Wuhan University of Technology
David C. Schwebel
David C. Schwebel University of Alabama at Birmingham
Guoqing Hu
Guoqing Hu Central South University
Yinhai Wang
Yinhai Wang University of Washington
Mohammed A. Quddus
Mohammed A. Quddus Imperial College London

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