Jahnavi Yarlagadda
Assistant Professor
jahnavi.yarlagadda@mahindrauniversity.edu.in
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. (2023)
- Ph.D. in Transportation Systems Engineering Indian Institute of Technology Hyderabad, Telangana, India
M.Tech (2014)
- M.Tech in Transportation Engineering Indian Institute of Technology Kharagpur, West Bengal, India
B.Tech (2012)
- B.Tech in Civil Engineering Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India
- She had a pre-Ph.D. teaching experience of four years, and five years of research experience during doctoral study.
2019-2022
- SERB-DST project, IIT Hyderabad
Designation: Research Fellow
2015-2018
- Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad
Designation: Assistant Professor
2014-2015
- Rajiv Gandhi University of Knowledge Technologies, Nuzvid
Designation: Lecturer
International Journals
2025
- 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
2023
- 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
2022
- 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
2021
- 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
2024
- Chandramalla, K., & Yarlagadda, J. (2024). “Alternative Fuel Vehicle’s Feasibility in Developing Countries: Current Challenges and Future Scope”. Proceedings of the 15th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC), Mumbai, India.
2023
- Yarlagadda, J. and Pawar, D. S. (2023). “Driving Performance Evaluation based on Driving Volatility Measures – A Case Study on Indian Drivers”. 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France. DOI: 1109/MT-ITS56129.2023.10241381 .
2022
- 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 8th 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 101st Transportation Research Board Annual Meeting, Washington D.C., USA.
2021
- 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 6th Conference of Transportation Research Group of India, Tamil Nadu, India. https://doi.org/10.1007/978-981-19-4204-4_9
2019
- 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, 26th -31st May
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
