Transportation System and Traffic Modelling (TSTM) Lab

       Restore, Reimagine, and Redesign for Safer, Comfortable, Convenient, and Affordable Transportation Infrastructure

Dr. Ranju Mohan

Associate Professor, Department of Civil and Infrastructure Engineering

Secondary affiliations: School of AI and Data Science, IDRP- Robotics and Mobility, IDRP- Internet of Things and Applications

PI, I-governance Vertical, Jodhpur City Knowledge and Innovation Cluster (JCKIC)

TSTM lab addresses Transportation system necessities and requirements that evolve from  urban sprawl, technological advancement, and changing societal demand.  The lab primarily focus on traffic flow modelling and simulation, accident analysis and prevention, public transport prioritization, transportation policy analysis,  and traffic management solutions.

Demo video

Traffic flow simulation from Akhaliya Circle to Krishi Mandi Circle, Jodhpur

Traffic_Accident_Website_Intro_Video.mp4

Traffic accident Database, Jodhpur

VID-20240213-WA0001.mp4

Travel survey app capturing location data

Trajectory analysis for Surrogate Safety Measures

Through Jodhpur City Knowledge and Innovation Cluster (JCKIC)

Co-developed modules in Trazer, Kritikal solutions

As PI of the project I-governance through JCKIC, Dr. Ranju Mohan collaborated with the industry partner KritiKal Solutions Pvt. Ltd. through a co-development platform for additional traffic data analytics modules  in Trazer, an existing traffic counting and classification software. The additional modules includes directionwise counting of 11 vehicle classes, Helmetless driving and triple riding, and wrong direction driving detection, parking and vehicle colour detection, and congestion detection.

Transportation planning for the City of Jodhpur. 

Two-way interactive Driving simulator

IIT Jodhpur Travel demand analysis 

Traffic flow modelling for Kota City

Exploring the Factors Driving Acceptance of Digital Payments Amongst Public Transport Drivers in Kota City

Traffic Crash Severity: Predicting Property damage and Injury Collision through machine learning models

Analyzing the Relationship between Mode Choice and Trip Chaining Behavior in Kota City

Researchers in the lab currently works on Traffic management, Transport policy analysis, Driving simulator development, Accident data prediction, and Multi vehicle class traffic flow modelling