Jahnavi Yarlagadda is an Assistant Professor in the Department of Civil Engineering at Mahindra University. She completed her Ph.D. in Transportation Systems Engineering from IIT Hyderabad. She received master’s degree in Transportation Engineering from IIT Kharagpur, and bachelor’s degree in Civil Engineering from JNTU, Kakinada. She majorly worked on the road traffic safety and driver behavior in naturalistic driving environment. The integration of human behavioral aspects in the road safety analysis and identification of driving patterns using machine learning techniques were the prominent research highlights of her doctoral study. Her articles have appeared in peer reviewed journals like Accident Analysis & Prevention, and Journal of Advanced Transportation. Her research interests include driver behavior, driver assistance, naturalistic driving studies, road safety, statistical data analysis and data mining.

• Ph.D. in Transportation Systems Engineering Indian Institute of Technology Hyderabad, Telangana, India

• M.Tech in Transportation Engineering Indian Institute of Technology Kharagpur, West Bengal, India

• B.Tech in Civil Engineering Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India

International Journals

• Yarlagadda, J., & Pawar, D. S. (2025). “Identification of Out-of-the-normal Driving Behaviors using Instantaneous Driving Decisions – A Case-Study on Indian Drivers”. IEEE Transactions on Intelligent Transportation Systems.https://doi.org/10.1109/TITS.2025.3541093

• Malaghan V., Yarlagadda, J., & Pawar, D.S. (2023). “Understanding the Operating Speed Profile Patterns using Unsupervised Machine Learning Approach: A Short-Term Naturalistic Driving Study”. Journal of Transportation Engineering, Part A: Systems, 149(2), 04022151. https://doi.org/10.1061/JTEPBS.TEENG-7440

• Yarlagadda, J., & Pawar, D. S. (2022). “Driving Style Analysis of Car Drivers Using Real-Time Driving Data–An Unsupervised Approach”. Journal of the Eastern Asia Society for Transportation Studies, 14, 2201-2216. https://doi.org/10.11175/easts.14.2201
• Yarlagadda, J., & Pawar, D. S. (2022). “Heterogeneity in the Driver Behavior: An Exploratory Study using Real-time Driving Data”. Journal of advanced transportation, Hindawi, 2022. https://doi.org/10.1155/2022/4509071

• Yarlagadda, J., Jain, P., & Pawar, D. S. (2021). “Assessing Safety Critical Driving Patterns of Heavy Passenger Vehicle Drivers using Instrumented Vehicle Data–An Unsupervised Approach”. Accident Analysis & Prevention, 163, 106464.https://doi.org/10.1016/j.aap.2021.106464

Conferences

• Chandramalla, K., & Yarlagadda, J. (2024). “Alternative Fuel Vehicle’s Feasibility in Developing Countries: Current Challenges and Future Scope”. Proceedings of the 15^th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC), Mumbai, India.

• Yarlagadda, J. and Pawar, D. S. (2023). “Driving Performance Evaluation based on Driving Volatility Measures – A Case Study on Indian Drivers”. 8^th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France. DOI: 1109/MT-ITS56129.2023.10241381 .

• Yarlagadda, J., Shukla, A.C., & Pawar, D. S. (2022). “Longitudinal driving performance evaluation using machine learning techniques – A semi-supervised approach”. Presented in Traffic and Granular Flow-2022, New Delhi, India.
• Yarlagadda, J., & Pawar, D. S. (2022). “Braking Behavior Profiling of Professional Car Drivers using Instrumented Vehicle Data”. Proceedings of the 8^th Road Safety and Simulation International Conference, Athens, Greece.
• Yarlagadda, J., and Pawar, D. S. (2022). “Heterogeneity in the Driver Behavior: An Exploratory Study using Real-time Driving Data”. Presented at 101^stTransportation Research Board Annual Meeting, Washington D.C., USA.

• Agarwal, P., Yarlagadda, J., Franklin, A. A., & Pawar, D. S. (2021). “Bus Travel Time Prediction using Extreme Gradient Boosting.” ASCE International Conference on Transportation & Development (ICTD), June.
• Yarlagadda, J., and Pawar, D. S. (2021). “Identifying habitual driving styles of heavy passenger vehicle drivers using driving profile data”. Proceedings of 6^th Conference of Transportation Research Group of India, Tamil Nadu, India. https://doi.org/10.1007/978-981-19-4204-4_9

• Yarlagadda, J., & Pawar, D. S. (2019). “Analysis of naturalistic driving behavior under heterogeneous traffic conditions in India.” 15th World Conference on Transport Research, Mumbai, India, 26^th -31^st May

• She had a pre-Ph.D. teaching experience of four years, and five years of research experience during doctoral study.

• SERB-DST project, IIT Hyderabad Designation: Research Fellow

• Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad Designation: Assistant Professor

• Rajiv Gandhi University of Knowledge Technologies, Nuzvid Designation: Lecturer

Research Interests: Road Safety, Driver Behavior, Naturalistic Driving Studies, Advanced Driver Assistance Systems, Electric Vehicle Mobility, Pedestrian Safety, Connected and Automated Transportation

Research Projects:

• Title: Addressing the Challenges of Electric Vehicle Adoption in India: A Focus on Safety and Sustainability
• Sponsoring Agency: Mahindra University, Hyderabad
• Grant Amount: INR 5.5 lakhs
• Role: PI
• Duration: October 2024 – September 2026