World's Best Scientists 2026 revealed!
Hai-Jun Huang

Hai-Jun Huang

D-Index & Metrics

Engineering and Technology

D-Index
68
Citations
14422
World Ranking
1246
National Ranking
245

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Computer network
  • Mathematical optimization

Hai-Jun Huang mainly focuses on Traffic flow, Transport engineering, Traffic congestion, Control theory and Pedestrian. His Traffic flow research is multidisciplinary, incorporating perspectives in Applied mathematics and Operations research. His studies in Transport engineering integrate themes in fields like Mathematical model and Marginal cost.

His work carried out in the field of Traffic congestion brings together such families of science as Bottleneck, Microeconomics, Trip distribution and Road networks. He combines subjects such as Simulation, Computer simulation and Sample with his study of Pedestrian. His biological study spans a wide range of topics, including Equivalence, Dynamical system, Mathematical optimization, Uniqueness and Traffic generation model.

His most cited work include:

  • The multi-class, multi-criteria traffic network equilibrium and systems optimum problem (341 citations)
  • Mathematical and Economic Theory of Road Pricing (278 citations)
  • Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues (214 citations)

What are the main themes of his work throughout his whole career to date?

Hai-Jun Huang mainly investigates Mathematical optimization, Transport engineering, Operations research, Simulation and Traffic flow. His studies examine the connections between Mathematical optimization and genetics, as well as such issues in Traffic congestion, with regards to Microeconomics. His work on Travel behavior, Public transport, Travel time and Mode choice is typically connected to Morning as part of general Transport engineering study, connecting several disciplines of science.

His study ties his expertise on Logit together with the subject of Operations research. His Simulation study combines topics from a wide range of disciplines, such as Pedestrian and Cellular automaton. His Traffic flow research is multidisciplinary, relying on both Flow, Stability and Control theory.

He most often published in these fields:

  • Mathematical optimization (27.36%)
  • Transport engineering (22.15%)
  • Operations research (21.50%)

What were the highlights of his more recent work (between 2016-2021)?

  • Mathematical optimization (27.36%)
  • Operations research (21.50%)
  • Traffic congestion (16.61%)

In recent papers he was focusing on the following fields of study:

Hai-Jun Huang mostly deals with Mathematical optimization, Operations research, Traffic congestion, Bottleneck and Transport engineering. His Mathematical optimization research is multidisciplinary, incorporating elements of Scheduling and Travel time. His studies deal with areas such as Function, Scheduling and Operational planning as well as Operations research.

His Traffic congestion research also works with subjects such as

  • Revenue management which connect with Parking guidance and information and Singapore Area Licensing Scheme,
  • Microeconomics that connect with fields like Mode choice. His Bottleneck study incorporates themes from Swap, Competition and Occupancy. His Public transport study in the realm of Transport engineering interacts with subjects such as Morning.

Between 2016 and 2021, his most popular works were:

  • An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests (110 citations)
  • An optimal charging station location model with the consideration of electric vehicle’s driving range (82 citations)
  • Modeling pedestrian flow accounting for collision avoidance during evacuation (42 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Mathematical optimization
  • Computer network

Hai-Jun Huang focuses on Mathematical optimization, Operations research, Bottleneck, Traffic congestion and Group behavior. His Mathematical optimization study combines topics in areas such as Mathematical economics and Swap. Hai-Jun Huang interconnects Function, Car following and Dynamic pricing in the investigation of issues within Operations research.

His studies deal with areas such as Queue, Variable ratio, Profit and Road pricing as well as Bottleneck. The various areas that Hai-Jun Huang examines in his Traffic congestion study include Revenue management, Revenue and Reservation. His study looks at the intersection of Flow network and topics like Node with Traffic flow.

Best Publications

  • Mathematical and Economic Theory of Road Pricing

    Hailiang Yang;Hai-Jun Huang

  • The multi-class, multi-criteria traffic network equilibrium and systems optimum problem

    Hai Yang;Hai-Jun Huang

  • Modeling and solving the dynamic user equilibrium route and departure time choice problem in network with queues

    Hai-Jun Huang;William H.K. Lam

  • Principle of marginal-cost pricing : How does it work in a general road network ?

    Hai Yang;Hai-Jun Huang

  • An Optimal Charging Station Location Model With the Consideration of Electric Vehicle's Driving Range

    Jia He;Hai Yang;Tie-Qiao Tang;Hai-Jun Huang

  • Static floor field and exit choice for pedestrian evacuation in rooms with internal obstacles and multiple exits.

    Hai-Jun Huang;Ren-Yong Guo

  • Route choice in pedestrian evacuation under conditions of good and zero visibility: Experimental and simulation results

    Ren-Yong Guo;Hai-Jun Huang;S.C. Wong

  • Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities

    William H.K. Lam;Zhi-Chun Li;Hai-Jun Huang;S.C. Wong

  • Analysis of the time-varying pricing of a bottleneck with elastic demand using optimal control theory

    Hai Yang;Huang Hai-Jun

  • Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions

    Tie-Qiao Tang;Hai-Jun Huang;Hua-Yan Shang

  • A mobile lattice gas model for simulating pedestrian evacuation

    R.Y. Guo;H.J. Huang

  • A combined trip distribution and assignment model for multiple user classes

    William H.K. Lam;Hai-Jun Huang

  • A multiclass, multicriteria logit-based traffic equilibrium assignment model under ATIS

    Hai-Jun Huang;Zhi-Chun Li

  • Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city

    Xiaoning Zhang;Hai-Jun Huang;H.M. Zhang;H.M. Zhang

  • Improving travel efficiency by parking permits distribution and trading

    Xiaoning Zhang;Hai Yang;Hai-Jun Huang

  • FARES AND TOLLS IN A COMPETITIVE SYSTEM WITH TRANSIT AND HIGHWAY: THE CASE WITH TWO GROUPS OF COMMUTERS

    H-J Huang

  • Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users

    Li-Jun Tian;Li-Jun Tian;Hai Yang;Hai-Jun Huang

  • A new car-following model with the consideration of the driver's forecast effect

    T.Q. Tang;C.Y. Li;H.J. Huang

  • Carpooling and congestion pricing in a multilane highway with high-occupancy-vehicle lanes

    Hai Yang;Hai-Jun Huang

  • Fifty years of the bottleneck model: A bibliometric review and future research directions

    Zhi-Chun Li;Hai-Jun Huang;Hai Yang

  • An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests

    Tie-Qiao Tang;Hai-Jun Huang;Hua-Yan Shang

Frequent Co-Authors

Tie-Qiao Tang
Tie-Qiao Tang Beihang University
Hai Yang
Hai Yang Hong Kong University of Science and Technology
William H. K. Lam
William H. K. Lam Hong Kong Polytechnic University
Sze Chun Wong
Sze Chun Wong University of Hong Kong
Wai Yuen Szeto
Wai Yuen Szeto University of Hong Kong
Harry Timmermans
Harry Timmermans Eindhoven University of Technology
Yonghong Wu
Yonghong Wu Curtin University
H.M. Zhang
H.M. Zhang University of California, Davis
Hjp Harry Timmermans
Hjp Harry Timmermans Eindhoven University of Technology
TA Theo Arentze
TA Theo Arentze Eindhoven University of Technology

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