Dr. Zhiyou Long | Traffic and Transportation Analysis | Best Researcher Award

Publications

Deep learning–based data anomaly detection for highway slope structural health monitoring: A comparative study

  • Authors: Shi Dong, Zhiyou Long, Shiyuan Zhang, Jianwei Wang, Chen Zuo, Chao Yang, Jinyi Jiang, Zhiwei Cui, Zhaolong Wan
    Journal: Transportation Geotechnics
    Year: 2025

Bibliometric Insights into the Implications of Urban Built Environment on Travel Behavior

  • Authors: Chao Gao, Xinyi Lai, Shasha Li, Zhiwei Cui, Zhiyou Long
    Journal: ISPRS International Journal of Geo-Information
    Year: 2023

An Integrated Method for Tunnel Health Monitoring Data Analysis and Early Warning: Savitzky–Golay Smoothing and Wavelet Transform Denoising Processing

  • Authors: Ning Zhao, Jincheng Wei, Zhiyou Long, Chao Yang, Jiefu Bi, Zhaolong Wan, Shi Dong
    Journal: Sensors
    Year: 2023

How does COVID-19 pandemic impact cities’ logistics performance? An evidence from China’s highway freight transport

  • Authors: Zhiwei Cui, Xin Fu, Jianwei Wang, Yongjie Qiang, Ying Jiang, Zhiyou Long
    Journal: Transport Policy
    Year: 2022

Analyzing Spatiotemporal Daily Travel Source Carbon Emissions Based on Taxi Trajectory Data

  • Authors: Maopeng Sun, Chenlei Xue, Yanqiu Cheng, Ling Zhao, Zhiyou Long
    Journal: IEEE Access
    Year: 2021

Dr. Bo Kou | Traffic and Transportation Analysis | Best Researcher Award

Publications

Rutting prediction model of asphalt pavement based on RIOHTrack full-scale ring road

  • Author: Bo Kou, Jinde Cao, Wei Huang, Tao Ma, Zhanzhong Shi
    Journal: Measurement
    Year: 2025

Generalization ability of rutting prediction model for asphalt pavement based on RIOHTrack full-scale track

  • Author: Bo Kou, Jinde Cao, Dongqiang Liu, Zhanzhong Shi
    Journal: Conference Proceedings
    Year: 2024

The rutting model of semi-rigid asphalt pavement based on RIOHTRACK full-scale track

  • Author: Bo Kou, Jinde Cao, Wei Huang, Tao Ma
    Journal: Mathematical Biosciences and Engineering
    Year: 2023

Asymptotic synchronization of fractional‐order non‐identical complex dynamical networks with parameter uncertainties

  • Author: Subramaniyan Aadhithiyan, Ramachandran Raja, Bo Kou, Govindaraj Selvam, Michal Niezabitowski, Chee Peng Lim, Jinde Cao
    Journal: Mathematical Methods in the Applied Sciences
    Year: 2022

Dr. Guilong Xu | Traffic and Transportation Analysis | Best Researcher Award

Dr. Guilong Xu | Traffic and Transportation Analysis | Best Researcher Award

Doctorate at College of Transportation Engineering, Tongji University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

Enhancing Safety and Efficiency of Signal Intersections: A Part-Time Protected Right-Turn Signal Control for Straight-Right Lane in Connected Environment

  • Author: Guilong Xu, Zhen Yang, Shikun Xie, Shumin Bai, Zishuo Liu
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2025

Integrating Acoustic-Based Risk Quantification for Modeling One-to-One Dynamic Pedestrian-Vehicle Interactions at Non-Signalized Crosswalks Using Empirical Data

  • Author: Shikun Xie, Zhen Yang, Guilong Xu
    Journal: International Journal of Transportation Science and Technology
    Year: 2025

Driving Behavior Analysis Near the Entrance of Highway Tunnels Using Naturalistic Trajectory Data

  • Author: Weijie Yue, Guojun Wang, Guilong Xu, Zhen Yang
    Journal: Advances in Transdisciplinary Engineering
    Year: 2024

A Novel Safety Assessment Framework for Pavement Friction Evolution Due to Traffic on Horizontal Curves

  • Author: Guilong Xu, Jinliang Xu, Chao Gao, Rishuang Sun, Huagang Shan, Yongji Ma, Jinsong Ran
    Journal: Sustainability
    Year: 2022

The Influence of the Pavement Friction Coefficient Evolution Caused by Traffic Flow on the Risk of Motorway Horizontal Curves

  • Author: Guilong Xu, Feng Chen, Jinliang Xu, Huagang Shan, Chao Gao, Jinsong Ran, Yongji Ma, Yuhong Yao
    Journal: PLOS ONE
    Year: 2022

Dr. MD Tanvir Uddin Chowdhury | Industrial | Best Researcher Award

Dr. MD Tanvir Uddin Chowdhury, Traffic and Transportation Analysis, Best Researcher Award

Doctorate at York University, Canada

Professional Profile

🌟 Summary:

Dr. Tanvir Chowdhury is a highly accomplished Transportation Engineer with over 9 years of experience in academic research and consulting. His expertise spans traffic simulation, safety evaluation, transportation planning, and the application of advanced modeling techniques. He is deeply involved in the development and validation of multi-modal transportation models, with a focus on improving operational efficiency and safety.

🎓 Education:

  • PhD in Civil Engineering (Transportation), York University, 2023
  • Post Graduation Diploma in Project Management, IBMI, London, 2018
  • MSc in Civil Engineering (Transportation), Islamic University of Technology, Bangladesh, 2016
  • BSc in Civil Engineering, Islamic University of Technology, Bangladesh, 2013

💼 Professional Experience:

  • Transportation Engineer, Arcadis Group, Toronto, ON (2022–Present)
  • Research Associate, TraffMobility Engineering Inc. and York University, Toronto, ON (2020–2021)
  • Research Associate, Smart Freight Center, Brampton, ON (2019–2021)
  • Sessional Instructor and Graduate Teaching/Research Assistant, York University, Toronto, ON (2018–2022)
  • Intermediate Design Engineer, Snowy Mountain Engineering Corporation (SMEC), Dhaka, Bangladesh (2016–2017)
  • Junior Road Design Engineer, SMEC, Dhaka, Bangladesh (2014–2016)

🔬 Research Interest:

Dr. Chowdhury’s research focuses on intelligent transportation systems 🚦, connected autonomous vehicles 🤖, and road safety 🛣️. He has published extensively in these areas and presented his work at numerous national and international conferences. He is actively involved in professional organizations such as Professional Engineers Ontario and the Institute of Transportation Engineers (ITE), where he contributes to advancing transportation engineering practices.

Memberships:

  • Professional Engineers Ontario as P.Eng – License #100550605
  • Institute of Transportation Engineers (ITE) – License #1072937
  • Road Safety Professional Level 1 (RSP1) – Candidate #1106

Awards:

Recipient of multiple awards including the 14th CITE Toronto, Hamilton, and Southwest Ontario Sections’ Joint Technical Presentation Competition (2022), York Bangladeshi Graduate Student Association Outstanding Leadership President’s Award (2021), and ITE Canada Outstanding Student Chapter of the Year (2020).

📖 Publications Top Noted:

Paper Title: Operational Impact of the Through-Traffic Signal Prioritization for Heavy Commercial Vehicle Platooning on Urban Arterials
  • Authors: Chowdhury, T., Park, P.Y., Gingerich, K.
  • Journal: Transportation Research Record
  • Year: 2023
  • Citations: 3
Paper Title: Estimation of Appropriate Acceleration Lane Length for Safe and Efficient Truck Platooning Operation on Freeway Merge Areas
  • Authors: Chowdhury, T.U., Park, P.Y., Gingerich, K..
  • Journal: Sustainability (Switzerland)
  • Year: 2022
  • Citations: 3
Paper Title: Strategic planning of electric vehicle charging locations in Windsor, Ontario
  • Authors: Oluwajana, S.D., Chowdhury, T., Wang, C.M., Oluwajana, O.P.
  • Journal: Case Studies on Transport Policy
  • Year: 2023
  • Citations: 1
Paper Title: Developing levels of pedestrian physical distancing during a pandemic
  • Authors: Mohammadi, A., Chowdhury, M.T.U., Yang, S., Park, P.Y.
  • Journal: Safety Science
  • Year: 2021
  • Citations: 21
Paper Title: Perception and barriers to implementation of intensive and extensive green roofs in Dhaka, Bangladesh
  • Authors: Hossain, M.A., Shams, S., Amin, M., Reza, M.S., Chowdhury, T.U.
  • Journal: Buildings
  • Year: 2019
  • Citations: 33

Traffic and Transportation Analysis

Introduction of Traffic and Transportation Analysis

Traffic and Transportation Analysis research is a crucial component of modern urban planning, logistics, and transportation management. This field harnesses computer vision and data analytics to monitor and analyze traffic patterns, vehicle behavior, and transportation infrastructure. It plays a pivotal role in optimizing traffic flow, improving road safety, and enhancing overall transportation efficiency.

Subtopics in Traffic and Transportation Analysis:

  1. Traffic Flow Monitoring: Researchers develop systems and algorithms to monitor and analyze real-time traffic flow, congestion, and bottlenecks, aiding in traffic management and planning.
  2. Vehicle Detection and Tracking: This subfield focuses on detecting and tracking vehicles in urban and highway environments, essential for applications like toll collection, traffic surveillance, and autonomous vehicles.
  3. Pedestrian Detection and Safety: Algorithms are developed for detecting and ensuring the safety of pedestrians and cyclists in traffic, contributing to improved road safety.
  4. Smart Transportation Systems: Research explores the integration of computer vision with smart transportation systems, enabling real-time data collection, traffic prediction, and intelligent traffic signal control.
  5. Public Transportation Optimization: Researchers work on optimizing public transportation networks, bus routes, and schedules to enhance accessibility and reduce transit times for commuters.

Traffic and Transportation Analysis research plays a crucial role in mitigating traffic congestion, reducing accidents, and creating more efficient and sustainable transportation systems. These subtopics reflect key areas of focus within this dynamic field.

Introduction Object Detection and Recognition: Object Detection and Recognition is a vibrant and evolving field of computer vision and artificial intelligence, dedicated to the automated identification and localization of objects
Introduction Image Processing and Enhancement: Image Processing and Enhancement is a pivotal domain within the realm of computer vision and digital imaging. This field is dedicated to the development of
Introduction of Computer Vision for Robotics and Autonomous Introduction: Computer Vision for Robotics and Autonomous Systems is a multidisciplinary field at the intersection of computer vision, robotics, and artificial intelligence.
Introduction of 3D Computer Vision 3D Computer Vision is a dynamic and interdisciplinary field that aims to enable machines to perceive and understand the three-dimensional structure of the world from
Introduction of Medical Image Analysis Medical Image Analysis is a critical and rapidly evolving field that harnesses the power of computer vision and machine learning to extract valuable insights from
Introduction of Video Analysis Video Analysis and Understanding is a dynamic and interdisciplinary field that aims to develop algorithms and techniques for extracting meaningful information from video data. It plays
Introduction of Deep Learning for Computer Vision Deep Learning for Computer Vision is at the forefront of modern artificial intelligence, revolutionizing the way machines perceive and interpret visual information. It
Introduction of Applications of Computer Vision Applications of Computer Vision represent a diverse and ever-expanding landscape of practical uses for visual data analysis and interpretation. Computer vision technology has transitioned
Introduction of Human-Computer Interaction Introduction: Human-Computer Interaction (HCI) research is a multidisciplinary field that focuses on understanding and improving the interaction between humans and technology. It explores how users interact
Introduction of Biometrics and Security Biometrics and Security research is dedicated to the development of cutting-edge technologies that leverage unique physiological or behavioral characteristics of individuals for identity verification and