Research Group
Shahig Ahmad Wani (2021- ) currently pursuing PhD with primary research interests in Travel Behaviour, the role of Information and Communication Technology (ICT) in Transportation, Travel Satisfaction, Travel Equity, Human Factors, and Safety. Specifically, he is working on understanding the linkages between Travel Satisfaction and Travel Behaviour. This research aims to provide insights into how satisfaction can influence travel patterns and behaviours, ultimately contributing to the development of more efficient and user-friendly transportation systems.
Shashvat Tripathi is an MS (by research) student (2023-) in the School of Artificial Intelligence and Data Science at IIT Jodhpur. His research work, under the supervision of Dr. Ranju Mohan, focuses on the development of a two-way interactive driving simulator, investigating the major characteristics of traffic flow with a fusion of Machine Learning algorithms to learn the driving behavior parameters. The project aims to build a simulator that is advanced and robust enough to model the Indian driving conditions where vehicular traffic streams are considered unorderly and unsafe, due to heterogeneity in vehicle types, wide variation in driving behaviors, and non-uniformity of roadway infrastructure. His research interest lies in interdisciplinary approaches, to solve problems using engineering concepts across streams.
Myself Mehendra Kumar Rai (2022-), I completed my Bachelor of Technology in Civil Engineering in the year 2022 from Rajkiya Engineering College, Azamgarh. Currently, I am pursuing my Master of Technology in Infrastructure Engineering with a specialization in Energy at the Department of Civil and Infrastructure Engineering at the Indian Institute of Technology Jodhpur. My research interests lie in sustainable transportation, traffic modeling and simulation and urban planning & design. My Master’s Thesis topic is “Environmental Impact of Traffic With and Without Lane Discipline in the Indian Context”. For this, I have developed a road network model of Kota City using Vissim software and simulated real-life traffic conditions. The results of the research will provide insight into how emissions from vehicles could decrease if lane discipline is followed in India.
My name is Manoj Sundari (2022-), I have done my B.Tech in Civil engineering from Christu Jyothi Institute of Technology & Science, Currently I'm pursuing my M.Tech from IIT Jodhpur. My research topic is about "MODELLING OF VEHICULAR EMISSIONS IN KOTA CITY". The research will be having focusing on Comprehensive model for estimating vehicular missions. Insights into factors influencing emissions. Validated model accuracy. Assessment of emissions' impact on air quality and health. Policy recommendations for emission reduction.
Prithviraj Gadgi (2022- )
Full Stack Developer at Cognizant, 2nd Year M Tech IIT Jodhpur
Thesis title: A predictive model of road traffic accidents using surrogate safety measures.
Description: The project aims to develop a predictive model using machine learning that can estimate the likelihood of road accidents at micro level (intersections and mid blocks) and at macro level (city network). Surrogate Safety Measures (SSM) which are indirect indicators of potential crash occurrences and estimated from traffic flow characteristics, road geometry, and driver behavior, weather conditions, etc. will be used to predict the risk of accidents before they occur. Implementing the developed model into a practical application, which can provide real-time predictions of road accident risks to drivers, traffic authorities, or other relevant stakeholders.