Jun Ma

ORCID: 0000-0001-9441-0083
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About
Contact & Profiles
Research Areas
  • Traffic and Road Safety
  • Anomaly Detection Techniques and Applications
  • Sustainable Building Design and Assessment
  • Evacuation and Crowd Dynamics
  • Vehicle emissions and performance
  • Construction Project Management and Performance
  • Fault Detection and Control Systems
  • Urban Transport and Accessibility
  • BIM and Construction Integration
  • Seismology and Earthquake Studies
  • Noise Effects and Management
  • Autonomous Vehicle Technology and Safety
  • Environmental Impact and Sustainability
  • Remote Sensing and LiDAR Applications
  • Wildlife-Road Interactions and Conservation
  • Human-Automation Interaction and Safety
  • Infrastructure Resilience and Vulnerability Analysis
  • Traffic Prediction and Management Techniques
  • Facilities and Workplace Management
  • Data Visualization and Analytics
  • Gaussian Processes and Bayesian Inference
  • Transportation Planning and Optimization
  • Air Quality Monitoring and Forecasting
  • 3D Modeling in Geospatial Applications
  • Land Use and Ecosystem Services

University of Hong Kong
2014-2025

Hong Kong University of Science and Technology
2014-2025

Capital University of Economics and Business
2022-2024

10.1109/icassp49660.2025.10889386 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

LEED (Leadership in Energy and Environmental Design) is a credit-based green building rating system.Considering that better understanding of the relationships between credits would help managers achieve certification, this study analyzed 1381 projects have been certified LEED-Existing Building versions 2008 2009.The achieved by those were using data mining techniques to discover hidden inter-relationships effects on high-scoring sustainable design strategies.The results compared with credit...

10.7763/ijet.2014.v5.592 article EN International Journal of Engineering and Technology 2013-01-01

Many enclosed public spaces with multiple destinations often feature obstacles, such as columns within the building space and dense crowds, which adversely affect recognition guidance of pedestrian sign. To mitigate this issue, enhancing traffic efficiency necessitates implementation auxiliary signs. However, experience-based schemes for positioning these signs require iterative adjustments to achieve desired effect. Thus, paper endeavors address challenge by analyzing relationship between...

10.1177/00375497231216473 article EN SIMULATION 2024-01-03

Abstract Number of people, density and so on are often used as a risk indicator in crowd dynamic management, but size cannot truly reflect the change process psychological stress perception that leads to behavior disorder. Therefore, this research calculates index thresholds from perspective help managers assess crowd-gathering risks. On one hand, model constructed based corresponding experiments at micro layer. other decision models, including average phubbers ratio, built macro level....

10.1088/1742-5468/aca8f8 article EN Journal of Statistical Mechanics Theory and Experiment 2022-12-01

The visual attention of pedestrians has been rarely considered in studies congestion prevention long-distance passages. This paper proposes a kinetic theory model human crowds accounting for to study population is divided into attention-shifting (VAS pedestrians) and nonvisual (non-VAS pedestrians). First, the movement characteristics all are analyzed based on observations measurements obtained through controlled experiments. Moreover, pedestrian flow built transform mathematical model....

10.1177/00375497221101065 article EN SIMULATION 2022-06-10

10.1109/robio64047.2024.10907539 article EN 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2024-12-10

10.1109/robio64047.2024.10907574 article EN 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2024-12-10
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