Notice: add_custom_image_header is deprecated since version 3.4.0! Use add_theme_support( 'custom-header', $args ) instead. in /var/www/html/shows/wp-includes/functions.php on line 4334 2012 ITP Thesis » Sajan Ravindran

Predicting Traffic with Neural Networks

Sajan Ravindran

A predictive model to enable dynamic traffic signal change.



Traffic congestion is a huge problem in urban environments causing immense losses of time and money. Using time series data collected over a month, this project conducts an exploratory analysis for identification of patterns in traffic movement. The data is a combination of two New York City sources - CCTV cameras images and local weather metrics. Using the results from the analysis of this combined data, a neural network model has been built that can predict traffic states.This model may potentially lead to more dynamic traffic signal change systems.