World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6512
World Ranking
8901
National Ranking
272

Overview

Hai L. Vu is affiliated with Monash University in Australia and has contributed extensively to research in engineering and social sciences, with a focus on transportation and control systems. Their work encompasses a range of subfields including transportation, control and systems engineering, automotive engineering, building and construction, and electrical and electronic engineering.

The scientist's research output covers key topics such as transportation planning and optimization, traffic control and management, traffic prediction and management techniques, transportation and mobility innovations, urban transport and accessibility, traffic and road safety, and autonomous vehicle technology and safety.

Frequent coauthors collaborating with Hai L. Vu include Nam H. Hoang, Meead Saberi, Zheng Xu, Quang-Hung Luu, and Danh T. Phan. These partnerships have contributed to a substantial body of work with multiple publications across several prominent venues.

Hai L. Vu has published extensively in venues such as the SSRN Electronic Journal, Transportation Research Part C Emerging Technologies, arXiv, IEEE Transactions on Intelligent Transportation Systems, and Swinburne Research Bank.

Selected recent papers include:

  • Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks, 2021, Nature Communications
  • Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview, 2020, Accident Analysis & Prevention
  • On-road virtual reality autonomous vehicle (VRAV) simulator: An empirical study on user experience, 2021, Transportation Research Part C Emerging Technologies
  • Multiclass dynamic system optimum solution for mixed traffic of human-driven and automated vehicles considering physical queues, 2021, Transportation Research Part B Methodological

Best Publications

  • Visualization and analysis of mapping knowledge domain of road safety studies

    Xin Zou;Wen Long Yue;Hai Le Vu

  • Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures

    Mark Mario Morando;Qingyun Tian;Long T. Truong;Hai L. Vu

  • An estimation of sensor energy consumption

    Malka N. Halgamuge;Moshe Zukerman;Kotagiri Ramamohanarao;Hai L. Vu

  • MAC Access Delay of IEEE 802.11 DCF

    T. Sakurai;H.L. Vu

  • Performance Analysis of the IEEE 802.11 MAC Protocol for DSRC Safety Applications

    M. I. Hassan;H. L. Vu;T. Sakurai

  • An effective spatial-temporal attention based neural network for traffic flow prediction

    Loan N.N. Do;Hai L. Vu;Bao Q. Vo;Zhiyuan Liu

  • Performance analyses of optical burst-switching networks

    Z. Rosberg;Hai Le Vu;M. Zukerman;M. Zukerman;J. White

  • Decentralized signal control for urban road networks

    Tung Le;Péter Kovács;Neil Walton;Hai L. Vu

  • Blocking probability for priority classes in optical burst switching networks

    Hai Le Vu;M. Zukerman

  • A multiclass microscopic model for heterogeneous platoon with vehicle-to-vehicle communication

    D. Jia;D. Ngoduy;H. L. Vu

  • Survey of neural network-based models for short-term traffic state prediction

    Loan N. N. Do;Neda Taherifar;Hai Le Vu

  • Langevin method for a continuous stochastic car-following model and its stability conditions

    D. Ngoduy;S. Lee;M. Treiber;M. Keyvan-Ekbatani

  • Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation

    Simon Stebbins;Mark Hickman;Jiwon Kim;Hai L. Vu

  • Percolation of heterogeneous flows uncovers the bottlenecks of infrastructure networks.

    Homayoun Hamedmoghadam;Mahdi Jalili;Hai L. Vu;Lewi Stone

  • Collision probability in saturated IEEE 802.11 networks

    Hai Le Vu;Taka Sakurai

  • Blocking probabilities of optical burst switching networks based on reduced load fixed point approximations

    Z. Rosberg;Hai Le Vu;M. Zukerman;M. Zukerman;J. White

  • A framework for optical burst switching network design

    J. White;M. Zukerman;Hai Le Vu

  • Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization

    Tuo Mao;Adriana Simona Mihaita;Fang Chen;Hai L. Vu

  • Feature extraction and clustering analysis of highway congestion

    Tin T. Nguyen;Panchamy Krishnakumari;Simeon C. Calvert;Hai Le Vu

  • An Access Delay Model for IEEE 802.11e EDCA

    Dongxia Xu;T. Sakurai;H.L. Vu

  • On teletraffic applications to OBS

    M. Zukerman;E.W.M. Wong;Z. Rosberg;Gyu Myoung Lee

  • Modelling and performance evaluation of optical burst switched networks with deflection routing and wavelength reservation

    A. Zalesky;Hai Le Vu;Z. Rosberg;E.W.M. Wong

  • Scalable performance evaluation of a hybrid optical switch

    Hai Le Vu;A. Zalesky;E.W.M. Wong;Z. Rosberg

  • H∞ robust perimeter flow control in urban networks with partial information feedback

    Reza Mohajerpoor;Reza Mohajerpoor;Meead Saberi;Hai L. Vu;Timothy M. Garoni

Frequent Co-Authors

Moshe Zukerman
Moshe Zukerman City University of Hong Kong
Andrew Zalesky
Andrew Zalesky University of Melbourne
Lachlan L. H. Andrew
Lachlan L. H. Andrew University of Melbourne
Serge P. Hoogendoorn
Serge P. Hoogendoorn Delft University of Technology
Sammy Chan
Sammy Chan University of Hong Kong
Christopher Leckie
Christopher Leckie University of Melbourne
Stephen V. Hanly
Stephen V. Hanly Macquarie University
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Chuan Heng Foh
Chuan Heng Foh University of Surrey
Zhiyuan Liu
Zhiyuan Liu Southeast University

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