This report explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month on a 5 Km highway in New Delhi.
@article{arxiv.1012.4249,
title = {Travel Time Estimation Using Floating Car Data},
author = {Raffi Sevlian and Ram Rajagopal},
journal= {arXiv preprint arXiv:1012.4249},
year = {2010}
}