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  • Bhargava Rama Chilukuri

Bhargava Rama Chilukuri

Fundamental diagram parameters in mixed traffic conditions: measurement methods and models
A Framework to Characterize, Estimate, and Predict Vehicle Class-agnostic Traffic States and Class-wise Speeds using Class-agnostic Disaggregated Travel Time Data for Mixed Traffic Conditions
A probe-based demand responsive signal control for isolated intersections under mixed traffic conditions
A Framework to Characterise, Estimate, and Predict Vehicle Class-Agnostic Traffic States and Class-Wise Speeds for Mixed Traffic Conditions
Multi-Class Vehicle Segregation for Enhanced Safety and Efficiency of Mixed Traffic Networks
Carriageway Edge Detection for Unmarked Urban Roads using Deep Learning Techniques
Data Imputation for Traffic State Estimation and Pre-diction Using Wi-Fi Sensors
Synchronized Multi Scale and Multi Sensor Traffic Data From Indian Urban Roads
Data Analysis and State Estimation using WiFi-based Traffic Sensor Technology
Traffic State Estimation using DSRC-Enabled Probe Vehicles
Development and Evaluation of a low-cost WiFi Media Access Control Scanner as Traffic Sensor
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Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

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044 2257 8980
office@dsai.iitm.ac.in
6th Floor, New Academic Complex 2,
Indian Institute of Technology Madras,
Chennai-600036, India

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