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.
Traffic flow simulation from Akhaliya Circle to Krishi Mandi Circle, Jodhpur
Traffic accident Database, Jodhpur
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.
Two-way interactive Driving simulator
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