Dr. Rajesh Chouhan
Designation: Assistant Professor
Biography:
Dr. Rajesh Chouhan is an Assistant Professor at Adani University in the Civil and Infrastructure Engineering Department, specializing in Transportation Engineering with expertise in Artificial Intelligence, Machine Learning, Big Data Analytics, UAV-based traffic data analytics and road safety. He has completed his Ph.D. from S.V.NIT Surat and MTech from NIT Hamirpur. He has conducted advanced research on Traffic Operations, Driving Behaviour, Computer Vision and Intelligent Transportation Systems. He is the creator of the SHIV-NATRAJ Dataset (www.shivnatraj.com), one of the largest UAV-based heterogeneous traffic trajectory datasets and holds a granted patent in vehicle data integration and mobility systems.
Dr. Chouhan has published extensively in leading international journals and has received multiple Best Paper Awards for his research contributions. He has also served as a Visiting Research Scholar at the Technical University of Munich, Germany under the DST-DAAD collaborative research program. His current research focuses on Traffic Safety Evaluations, Traffic Behaviour Studies, Human Factors and Data Analytics.
- Ph.D. – Transportation Engineering, Sardar Vallabhbhai National Institute of Technology, Surat
- M.Tech. – Transportation Systems Engineering, National Institute of Technology, Hamirpur
- B.Tech. – Civil Engineering, J.N. Government Engineering College Sundernagar, Himachal Pradesh
- Assistant Professor at Veermata Jijabai Technological Institute (VJTI), Mumbai, Maharashtra. (January 2025 – 30 June 2026)
- Assistant Professor at Lovely Professional University (LPU), Jalandhar, Punjab. (August 2017 – April 2019)
- Visiting Research Scholar, Technical University of Munich (TUM), Germany under DST- DAAD Collaborative Research Project, Research Visits during Ph.D.
- Unmanned Aerial Vehicle (UAV) – Based Traffic Data Collection and Analytics
- Human Factors and Intelligent Transportation Systems (ITS)
- Artificial Intelligence, Machine Learning and Computer Vision in Traffic Safety Studies
- Road Safety and Driver Behavior Analysis
- Big Data Analytics and Transportation Data Science
- Deep Learning Applications in Transportation Engineering
- Chouhan, R., Chavan, Y. B., Dhamaniya, A., & Antoniou, C. “Impact of Sensory Distractions on Reaction Time: A Comprehensive Modeling Approach” Accident Analysis and Prevention, 2025. DOI: https://doi.org/10.1016/j.aap.2025.108154
- Chouhan, R., Dhamaniya, A., Rao, A. M., & Gupta, K. “Quantifying the Relationship between Auditory Distractions, Reaction Time, and Crash Probability” IATSS Research, 2025. DOI: https://doi.org/10.1016/j.iatssr.2025.02.001
- Chouhan, R., Modi, J. K., Dhamaniya, A., & Antoniou, C. “Dilemma Zone Identification and Mitigation Approach at Signalized Intersections under Mixed Traffic Conditions using UAV Data” ASCE Journal of Transportation Engineering, Part A: Systems, 2025. DOI: https://doi.org/10.1061/JTEPBS.TEENG- 8644
- Chouhan, R., Dhamaniya, A., & Antoniou, C. “Analysis of Driving Behavior at the Upstream and Downstream of Toll Plaza Using Unmanned Aerial Vehicle Data” Physica A: Statistical Mechanics and its Applications, 2024. DOI: https://doi.org/10.1016/j.physa.2024.129865
- Jain, V., Chouhan, R., & Dhamaniya, A. “Exploring the Efficacy of Artificial Intelligence in Speed Prediction: An Explainable Machine Learning Approach” ASCE Journal of Computing in Civil Engineering, 2024. DOI: https://doi.org/10.1061/JCCEE5.CPENG- 5980
- Chouhan, R., & Dhamaniya, A. “Investigating the Dynamics of Speed and Acceleration at Merging and Diverging Sections using UAV- Based Trajectory Data” International Journal of Transportation Science and Technology, 2023. DOI: https://doi.org/10.1016/j.ijtst.2023.08.007
- Chouhan, R., & Dhamaniya, A. “Study of Vehicle Specific Speed Profiles at Merging and Diverging Sections of Toll Plaza Using UAV Data” Transportation in Developing Economies, 2023. DOI: https://doi.org/10.1007/s40890- 023- 00195- 6
- K., A., J., A., Chouhan, R., Navandar, Y. V., & Krishnamurthy, K. “Behavioral Dynamics at Signalized Intersections: A Data- Driven Model for Speed Prediction in Heterogeneous Mixed Traffic” ASCE Journal of Transportation Engineering, Part A: Systems (Accepted for publication).
- UAV- Based Vehicle Detection and Classification Under Varying Lighting Conditions for Indian Traffic – International Conference on Emerging Technology in Autonomous Aerial Vehicles (ETAAV), IISc Bengaluru, India.
- Development of Vehicle Detection and Classification System for Mixed Traffic Conditions Using Deep Learning – 10th International Conference on Transportation System Engineering and Management (CTSEM- 2024), NIT Nagpur, India. (Best Paper Award)
- Explainable Machine Learning Approach to Predict Speed on Urban Roads under Mixed Traffic Conditions – 103rd Transportation Research Board (TRB) Annual Meeting 2024, Washington D.C., USA.
- Trajectory Based Delay Estimation under Mixed Traffic Conditions at Signalized Intersection Using UAV Data – 103rd Transportation Research Board (TRB) Annual Meeting 2024, Washington D.C., USA.
- Analysis of Drivers’ Reaction Time Under the Distracted Driving Condition – European Working Group on Transportation (EWGT- 2024), Sweden.
- Predicting Future Traffic Speed: Spatial and Temporal Predictions Through Time- Series Analysis – European Working Group on Transportation (EWGT- 2024), Sweden.
- Investigating the Impact of Traffic State on Conflict Probability at Signalized Intersections – 7th Conference of Transportation Research Group of India (CTRG- 2023), SVNIT Surat, India.
- Driver Behavior at Toll Plazas: A Study on Distraction in Merging and Diverging Using Eye Tracking and Trajectory Analysis – 10th International Conference on Transportation System Engineering and Management (CTSEM- 2024), NIT Nagpur, India.
- SHIV- NATRAJ Dataset: Spatiotemporal Heterogeneous Integrated Vehicular Naturalistic Aerial Trajectory Dataset – 104th Transportation Research Board (TRB) Annual Meeting 2025, Washington D.C., USA.
- A Comparative Study of the Effects of Mobile Phone Use and Music on Driver Reaction Time and Accident Probability – 7th Conference of Transportation Research Group of India (CTRG- 2023), SVNIT Surat, India. (Best Paper Award)
- Comparative Safety Assessment of Vehicle-Pedestrian Interactions at Urban Arterial and Highway Using UAV Data in Recent Advances in Traffic Engineering: Selected Proceedings of RATE 2022. https://doi.org/10.1007/978-981-99-4464-4
- Investigating the Impact of Traffic State on Conflict Probability at Signalized Intersections in Proceedings of the 7th International Conference of Transportation Research Group of India (CTRG 2023). https://doi.org/10.1007/978-981-97-9943-5_23
- Development of Vehicle Detection and Classification System for Mixed Traffic Conditions Using Deep Learning in Recent Advancements in Sustainable and Safe Transportation Infrastructure. https://doi.org/10.1007/978-981-96-1988-7_13
- System and Method for Facilitating Data Integration and Seamlessly Enabling Movement of Vehicles. Patent Granted, Patent No. 560228.
- Co- Coordinator, 7th International Conference of Transportation Research Group of India (CTRG- 2023), SVNIT Surat
- Co- Coordinator, 4th National Conference on Recent Advances in Traffic Engineering (RATE- 2022), SVNIT Surat
- Delivered expert lecture on “Vehicle Detection and Tracking Using Computer Vision” under STTP at Dr. S and S.S. Ghandhy College of Engineering and Technology, Surat, Gujarat.(2024)
- Delivered expert lecture on “Application of UAVs for Advanced Data Interpretation in Transportation Engineering (AUDIT 2023)” sponsored by SERB, NIT Calicut
- Best Paper Award at 7th Conference of Transportation Research Group of India (CTRG- 2023), for the paper “A Comparative Study of the Effects of Mobile Phone Use and Music on Driver Reaction Time and Accident Probability”, December 2023.
- Best Paper Award at 10th International Conference on Transportation System Engineering and Management (CTSEM- 2024), NIT Nagpur, for the paper “Development of Vehicle Detection and Classification System for Mixed Traffic Conditions Using Deep Learning”, July 2024.
- Invited twice to the Technical University of Munich (TUM), Germany under the DST-DAAD collaborative research project “Warrants for the Automation of Toll Plaza Under Mixed Traffic Conditions.”
- Received funding support from the Department of Science and Technology (DST- ANRF) under International Travel Scheme, Government of India, to present research at the European Working Group on Transportation (EWGT 2024), Sweden.
- GATE Qualified – Qualified the Graduate Aptitude Test in Engineering (GATE) in 2015 and 2020.
- Merit Award Holder – Recognized for outstanding academic performance in Higher Secondary Examinations.