Peiwen Han | Transportation Planning | Best Researcher Award

Dr. Peiwen Han | Transportation Planning | Best Researcher Award

Senior Engineer at China Railway Design Corporation, China.

Peiwen Han is a Senior Engineer at the Transportation Planning and Research Institute of China Railway Design Corporation. With a strong academic and professional background in transportation planning and management, he specializes in high-speed railway train operation organization and transportation system optimization. His research contributions span railway network efficiency, scheduling methodologies, and passenger flow analysis. Over the years, he has led and participated in multiple high-impact research projects and holds several national invention patents. His work has been widely recognized through prestigious awards and publications in esteemed journals.

Professional Profile:

Scopus

Education Background

Peiwen Han obtained a Bachelor’s degree in Transportation from the School of Traffic and Transportation, Beijing Jiaotong University, in 2013. He then pursued a combined Master-PhD program in Transportation Planning and Management at the same institution from 2013 to 2014. He successfully completed his Ph.D. in December 2020. Additionally, he participated in a joint training program at the University of Bologna, Italy, from 2016 to 2017, focusing on Operations Research and Organization.

Professional Development

Peiwen Han began his professional career as an engineer at the Transportation Planning and Research Institute of China Railway Design Corporation in August 2021. After three years of dedicated service, he was promoted to Senior Engineer in November 2024. Throughout his tenure, he has worked on several critical railway research projects, contributing significantly to advancements in rail transport planning, scheduling, and infrastructure optimization.

Research Focus

His research primarily focuses on high-speed railway train operation organization, transportation planning, and railway network management. His work addresses key challenges such as scheduling optimization, passenger flow efficiency, and the integration of billing and clearing rules for urban rail transit. His contributions have been instrumental in improving railway service quality, enhancing operational efficiency, and developing innovative solutions for the transportation industry.

Author Metrics:

Peiwen Han has published multiple research papers in SCI, EI, and Chinese Core Journals. Notable publications include works on multi-objective integer linear programming for railway network planning, holiday line scheduling under passenger flow fluctuations, and capacity evaluation of railway hubs. His research has been cited extensively, reflecting its impact in the field of transportation planning.

Honors & Awards

Peiwen Han has received several prestigious scientific research awards. Notable recognitions include the Gold Medal at the 18th “Zhenxing Cup” National Youth Vocational Skills Competition (2024), the Second Prize for Scientific and Technological Progress from the China Transportation Association (2023), and the First Prize for Excellent Engineering Consulting Achievements from China Railway Group Limited (2023). He has also been awarded the 8th National Railway Youth Science and Technology Innovation Award (2022) for his contributions to cross-line transportation optimization in high-speed railways.

Academic & Professional Engagements

Peiwen Han is an active member of the 7th China Youth Science and Technology Workers Association. He also serves as a reviewer for esteemed journals such as the Journal of East China Jiaotong University and Railway Standard Design, contributing to the academic discourse in transportation planning and railway management.

Publication Top Notes

1. A Multiobjective Integer Linear Programming Model for the Cross-Track Line Planning Problem in the Chinese High-Speed Railway Network

📖 Citation: Han, P., Nie, L., Fu, H., et al. (2019). A Multiobjective Integer Linear Programming Model for the Cross-Track Line Planning Problem in the Chinese High-Speed Railway Network. Symmetry, 11(5), 670. https://doi.org/10.3390/sym11050670
Authors: Peiwen Han, Lei Nie, Huiling Fu, et al.
📜 Summary: This paper proposes a multiobjective integer linear programming (MILP) model to optimize the cross-track line planning problem in China’s high-speed railway network. The model balances operational efficiency, passenger demand, and infrastructure constraints to improve train scheduling.
📅 Year: 2019
📊 Citations: SCI-indexed

2. Modeling the Holiday Line Planning Problem with Profitability and Homogeneity Under Passenger Flow Explosion Conditions in China—A Sustainable Perspective

📖 Citation: Han, P., Tong, L., Li, W., et al. (2025). Modeling the Holiday Line Planning Problem with Profitability and Homogeneity Under Passenger Flow Explosion Conditions in China—A Sustainable Perspective. Sustainability, 17(5), 2193. https://doi.org/10.3390/su17052193
Authors: Peiwen Han, Lu Tong, Wenjun Li, et al.
📜 Summary: This paper presents a model for railway line planning during holidays when passenger demand surges. The study optimizes scheduling to balance profitability with service homogeneity while considering sustainable railway operations.
📅 Year: 2025
📊 Citations: SCI-indexed

3. A Method for Evaluating the Passing Capacity of the Block Post in the Hub with Multiple Rail Lines

📖 Citation: Han, P., Song, J., Tang, J. (2023). A Method for Evaluating the Passing Capacity of the Block Post in the Hub with Multiple Rail Lines. Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127901L. https://doi.org/10.1117/12.2673012
Authors: Peiwen Han, Jianpeng Song, Jie Tang
📜 Summary: The study evaluates railway hub block post capacity using a simulation-based approach. It assesses train movements, signal timing, and track infrastructure to optimize capacity utilization.
📅 Year: 2023
📊 Citations: EI-indexed

4. Analysis on Passenger Flow Changes during Holidays—A Case Study of Beijing-Shanghai High-Speed Railway

📖 Citation: Han, P., Nie, L. (2018). Analysis on Passenger Flow Changes during Holidays—A Case Study of Beijing-Shanghai High-Speed Railway. IOP Conference Series: Earth and Environmental Science, 189(6), 062051. https://doi.org/10.1088/1755-1315/189/6/062051
Authors: Peiwen Han, Lei Nie
📜 Summary: This paper examines passenger flow variations on the Beijing-Shanghai high-speed railway during holiday seasons. It provides insights into peak demand management strategies.
📅 Year: 2018
📊 Citations: EI-indexed

5. Research on the Speed Target Value of the Hong Kong – Shenzhen Western Railway

📖 Citation: Han, P. (2024). Research on the Speed Target Value of the Hong Kong – Shenzhen Western Railway. Railway Standard Design, 68(10), 21-27.
Author: Peiwen Han
📜 Summary: This study determines the optimal speed target value for the Hong Kong-Shenzhen Western Railway, considering safety, infrastructure, and operational efficiency.
📅 Year: 2024
📊 Citations: Chinese Core Journal

6. Research on the Impact of the Connection of Arrival and Departure Tracks at Intermediate Stations on the Passing Capacity of High-Speed Railways

📖 Citation: Han, P. (2024). Research on the Impact of the Connection of Arrival and Departure Tracks at Intermediate Stations on the Passing Capacity of High-Speed Railways. Railway Standard Design, 1-10. https://doi.org/10.13238/j.issn.1004-2954.202405090002
Author: Peiwen Han
📜 Summary: This paper analyzes how the track connection at intermediate stations affects the passing capacity of high-speed railways. It provides recommendations for optimizing station track layouts.
📅 Year: 2024📊 Citations: Chinese Core Journal

7. Research on the Transfer Modes of Transfer Stations for Integrated Rail Transit Ticketing

📖 Citation: Han, P., Gao, J. Y., Zhang, X. Z. (2023). Research on the Transfer Modes of Transfer Stations for Integrated Rail Transit Ticketing. Traffic & Port and Shipping, 10(06), 28-34.
Authors: Peiwen Han, Gao J. Y., Zhang X. Z.
📜 Summary: This paper studies different transfer station designs for integrated rail transit ticketing, evaluating their impact on passenger convenience and system efficiency.
📅 Year: 2023
📊 Citations: Chinese Core Journal

Conclusion

Dr. Peiwen Han is a highly qualified candidate for the Best Researcher Award due to his strong publication record, innovative contributions to railway transportation, multiple patents, and prestigious awards. His scientific and practical contributions to railway network efficiency and scheduling optimization are noteworthy.

With enhanced international collaboration, broader global research impact, and documented real-world implementation, he could further solidify his standing as a world-class leader in transportation planning and railway engineering research. Given his current achievements, he is highly deserving of this award.

Faryal Ali | Intelligent Transportation | Excellence in Research

Ms. Faryal Ali | Intelligent Transportation | Excellence in Research

Faryal Ali at University of Victoria, BC, Canada.

Dr. Faryal Ali (she/her) is a researcher specializing in Intelligent Transportation Systems, Traffic Modeling, and Connected Autonomous Vehicles (CAVs). Her work focuses on developing intelligent microscopic models for traffic flow characterization, emphasizing driver behavior, roadway conditions, energy consumption, and the environmental impact of CAVs. She aims to enhance sustainable and efficient transportation systems by leveraging advanced simulation tools and data-driven insights.

Professional Profile:

Scopus

Google Scholar

Education Background

i is currently pursuing a Ph.D. in Electrical and Computer Engineering at the University of Victoria, Canada (2022-2025), where she is conducting research on intelligent microscopic models for traffic forecaIntelligent Transportation Systemssting, safety, and pollution control. She holds an M.Sc. in Urban Infrastructure Engineering from the National Institute of Urban Infrastructure Planning, UET Peshawar (2021), where she graduated with a CGPA of 3.96/4. She also earned a B.Sc. in Civil Engineering from CECOS University of IT and Emerging Sciences, Pakistan (2018), where she received recognition for her outstanding final year project on sustainable pavements.

Professional Development

Dr. Ali has a strong background in research and academia. She worked as a Research Associate at the National Center for Big Data and Cloud Computing, UET Peshawar (March 2022 – September 2022), where she developed predictive models for traffic analysis and collaborated on a research project funded by the Higher Education Commission of Pakistan. Currently, she serves as a Teaching Assistant at the University of Victoria (January 2024 – December 2024), mentoring students and assisting in technical report writing and grading. Previously, she worked as a Lab Engineer at Sarhad University of Science and Information Technology (February 2019 – February 2021), where she led lab sessions, curriculum design, and student assessments in civil engineering courses.

Research Focus

Dr. Ali’s research interests encompass Traffic Engineering, Intelligent Transportation Systems, Traffic Forecasting, Sustainable Transport, Traffic Safety, and Cybersecurity in CAVs. She is particularly interested in analyzing mixed traffic environments, the impact of weather and pavement conditions on vehicle dynamics, and strategies for reducing carbon emissions through optimized transport systems. Her work integrates data analytics, simulation tools, and emerging technologies to enhance traffic efficiency and safety.

Author Metrics:

Dr. Ali has published her research in high-impact peer-reviewed journals and has actively contributed to the field of transportation engineering. She is a research paper reviewer for IEEE Access and MDPI journals, including Sustainability and Electronics. Her work has contributed to advancing knowledge in vehicle communication, cybersecurity, and environmental impact assessment, with a focus on CAVs and intelligent transportation.

Honors & Awards

Dr. Ali has received several prestigius awards and honors throughout her academic career. She was awarded the University of Victoria Graduate Entrance Award for new first-class graduate students and the University of Victoria Fellowship in recognition of her academic excellence. She also secured 1st position in her B.Sc. Final Year Project, which focused on developing sustainable pavements using waste materials to promote eco-friendly construction practices. Additionally, she holds multiple certifications in programming, GIS, research methods, and road infrastructure technologies from institutions such as Vanderbilt University, the University of Toronto, and Ecole des Ponts (ParisTech).

Publication Top Notes

1. Effect of water resistant SiO₂ coated SrAl₂O₄: Eu²⁺ Dy³⁺ persistent luminescence phosphor on the properties of Portland cement pastes

  • Authors: M.A. Sikandar, W. Ahmad, M.H. Khan, F. Ali, M. Waseem
  • Journal: Construction and Building Materials
  • Volume: 228
  • Article Number: 116823
  • Publication Year: 2019
  • Citations: 71 (as of 2019)
  • Key Contribution:
    • Investigated the impact of SiO₂-coated SrAl₂O₄: Eu²⁺ Dy³⁺ phosphors on the properties of Portland cement pastes.
    • Enhanced water resistance and luminescent properties of the cement composites were observed.

2. A new driver model based on driver response

  • Authors: F. Ali, Z.H. Khan, F.A. Khan, K.S. Khattak, T.A. Gulliver
  • Journal: Applied Sciences
  • Volume: 12
  • Issue: 11
  • Article Number: 5390
  • Publication Year: 2022
  • Citations: 15 (as of 2022)
  • Key Contribution:
    • Proposed a microscopic traffic model based on forward and rearward driver responses.
    • Characterized driver behavior using distance and time headways, offering improved traffic stability over existing models.

3. Evaluating the effect of road surface potholes using a microscopic traffic model

  • Authors: F. Ali, Z.H. Khan, K.S. Khattak, T.A. Gulliver
  • Journal: Applied Sciences
  • Volume: 13
  • Issue: 15
  • Article Number: 8677
  • Publication Year: 2023
  • Citations: 9 (as of 2023)
  • Key Contribution:
    • Assessed the impact of road surface potholes on traffic flow using a microscopic traffic model.
    • Provided insights into how potholes affect vehicle dynamics and overall traffic efficiency.

4. The effect of visibility on road traffic during foggy weather conditions

  • Authors: F. Ali, Z.H. Khan, K.S. Khattak, T.A. Gulliver
  • Journal: IET Intelligent Transport Systems
  • Volume: 18
  • Issue: 1
  • Pages: 47-57
  • Publication Year: 2024
  • Citations: 8 (as of 2024)
  • Key Contribution:
    • Explored how reduced visibility during foggy conditions affects road traffic.
    • Analyzed driver behavior and traffic flow disruptions under low-visibility scenarios.

5. A microscopic heterogeneous traffic flow model considering distance headway

  • Authors: F. Ali, Z.H. Khan, K.S. Khattak, T.A. Gulliver, A.N. Khan
  • Journal: Mathematics
  • Volume: 11
  • Issue: 1
  • Article Number: 184
  • Publication Year: 2022
  • Citations: 7 (as of 2022)
  • Key Contribution:
    • Developed a microscopic traffic flow model that incorporates distance headway considerations.
    • Addressed heterogeneous traffic conditions to improve traffic simulation accuracy.

Conclusion

Dr. Faryal Ali is an excellent candidate for an Excellence in Research award in Intelligent Transportation Systems. Her outstanding academic performance, research contributions, mentorship, and peer recognition make her a leading researcher in traffic modeling and CAVs. Strengthening industry collaborations and policy applications would further enhance her global impact.