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Engineering and Technology
China
2025

D-Index & Metrics

Engineering and Technology

D-Index
75
Citations
17222
World Ranking
769
National Ranking
133

Research.com Recognitions

  • 2025 - Research.com Engineering and Technology in China Leader Award

Overview

William H. K. Lam is affiliated with Hong Kong Polytechnic University in China. Their research spans multiple areas within engineering and social sciences, with a particular focus on transportation-related studies.

The scientist has contributed extensively to the fields of:

  • Engineering
  • Social Sciences

Within these broader fields, their work is concentrated in several subfields, including:

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

Key topics of research addressed by William H. K. Lam involve:

  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Traffic control and management
  • Urban Transport and Accessibility
  • Transportation and Mobility Innovations
  • Traffic and Road Safety
  • Autonomous Vehicle Technology and Safety

The scientist has published numerous research papers in leading academic journals. Notable recent papers include:

  • "Differentially Private SQL with Bounded User Contribution" (2020), published in DOAJ (DOAJ: Directory of Open Access Journals)
  • "Enhancing network resilience by adding redundancy to road networks" (2021), published in Transportation Research Part E Logistics and Transportation Review
  • "Integrated optimal control strategies for freeway traffic mixed with connected automated vehicles: A model-based reinforcement learning approach" (2021), published in Transportation Research Part C Emerging Technologies
  • "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system" (2021), published in Journal of Transport Geography
  • "An Integrated Reinforcement Learning and Centralized Programming Approach for Online Taxi Dispatching" (2021), published in IEEE Transactions on Neural Networks and Learning Systems

William H. K. Lam frequently collaborates with a core group of co-authors, including:

  • Wei Ma
  • Mei Lam Tam
  • Andy H.F. Chow
  • S.C. Wong
  • Hu Shao

The primary publication venues where the scientist's work appears most often are:

  • Transportation Research Part C Emerging Technologies
  • Transportation Research Part B Methodological
  • Transportmetrica A Transport Science
  • Transportmetrica B Transport Dynamics
  • Transportation Research Part E Logistics and Transportation Review

Best Publications

  • Optimal Road Tolls under Conditions of Queueing and Congestion

    Hai Yan;William H.K Lam

  • Bus arrival time prediction at bus stop with multiple routes

    Bin Yu;Bin Yu;William H.K. Lam;Mei Lam Tam

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

    Hai-Jun Huang;William H.K. Lam

  • Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply

    William H.K. Lam;Hu Shao;Hu Shao;Agachai Sumalee

  • A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand

    Hu Shao;Hu Shao;William H. K. Lam;Mei Lam Tam

  • Revisiting Hughes’ dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm

    Ling Huang;S.C. Wong;Mengping Zhang;Chi-Wang Shu

  • A stochastic user equilibrium assignment model for congested transit networks

    William H.K. Lam;Z Y Gao;K S Chan;Hai Yang

  • Pedestrian speed/flow relationships for walking facilities in Hong Kong

    William H. K. Lam;Chung-yu Cheung

  • Global optimization method for mixed transportation network design problem: A mixed-integer linear programming approach

    Paramet Luathep;Paramet Luathep;Agachai Sumalee;William H.K. Lam;Zhi-Chun Li;Zhi-Chun Li

  • 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

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

    William H.K. Lam;Hai-Jun Huang

  • Map-matching algorithm for large-scale low-frequency floating car data

    Bi Yu Chen;Hui Yuan;Qingquan Li;William H. K. Lam

  • Vulnerability analysis for large-scale and congested road networks with demand uncertainty

    Bi Yu Chen;Bi Yu Chen;William H.K. Lam;William H.K. Lam;Agachai Sumalee;Qingquan Li

  • A study of crowding effects at the Hong Kong light rail transit stations

    William H.K. Lam;Chung-Yu Cheung;C.F. Lam

  • PEDESTRIAN ROUTE CHOICES BETWEEN ESCALATOR AND STAIRWAY IN MTR STATIONS

    C. Y. Cheung;William H. K. Lam

  • A study of the bi-directional pedestrian flow characteristics at Hong Kong signalized crosswalk facilities

    William H. K. Lam;Jodie Y. S. Lee;C. Y. Cheung

  • Finding Reliable Shortest Paths in Road Networks Under Uncertainty

    Bi Yu Chen;Bi Yu Chen;William H. K. Lam;William H. K. Lam;Agachai Sumalee;Qingquan Li

  • Bidirectional Pedestrian Stream Model with Oblique Intersecting Angle

    S. C. Wong;W. L. Leung;S. H. Chan;William H. K. Lam

  • PEDESTRIAN FLOW CHARACTERISTICS IN HONG KONG

    William H K Lam;John F Morrall;Herbert Ho

  • An activity-based time-dependent traffic assignment model

    William H.K. Lam;Yafeng Yin

Frequent Co-Authors

Agachai Sumalee
Agachai Sumalee Chulalongkorn University
Sze Chun Wong
Sze Chun Wong University of Hong Kong
Hai-Jun Huang
Hai-Jun Huang Beihang University
Qingquan Li
Qingquan Li Shenzhen University
Hong Kam Lo
Hong Kam Lo Hong Kong University of Science and Technology
Anthony Chen
Anthony Chen Hong Kong Polytechnic University
Hai Yang
Hai Yang Hong Kong University of Science and Technology
Chandra R. Bhat
Chandra R. Bhat The University of Texas at Austin
Donggen Wang
Donggen Wang Hong Kong Baptist University
Shih-Lung Shaw
Shih-Lung Shaw University of Tennessee at Knoxville

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