Predict Vehicle Travel Times in Mixed Traffic Conditions
A Method and System for Predicting Vehicle Travel Time
Tags: IIT Madras, India, Transportation & Automotive
This technology enhances travel time prediction for public transportation in mixed-traffic conditions through a method that collects trip data, determines travel times, and creates travel patterns using deep learning. It accounts for spatial and temporal variations, improving prediction accuracy. The system's design is adaptable for various applications, including traffic management and route optimization, offering a reliable solution for congested urban areas.
IP Type or Form Factor: Software & Algorithm
TRL: 5 - prototype ready for testing in intended environment
Industry or Tech Area: Transport Systems; Automobiles General