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:

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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