@inproceedings{d4129db9d62b4d18a4dfd34a33b2dc1f,
title = "Short-term travel time estimation and prediction for long freeway corridor using NN and regression",
abstract = "Travel time information is a fundamental component in Advanced Traveler Information System. In this paper, we propose a short-term travel time estimation and prediction framework for long freeway corridor, considering measurements from vehicle detectors (VD) and floating car data (FCD). The modeling approach is based on a modified Nearest-Neighborhood (NN) model with threshold and a regression model capturing the within day variations. The advantages are that our approach allows for missing data without the need of data imputation in real-time, and is suitable for travel time prediction of long corridors. The validation analysis using an 88 km long section of freeway shows satisfactory results.",
keywords = "Advanced Traveler Information System, Nearest Neighborhood, floating car data, travel time, vehicle detector",
author = "Jin-Yuan Wang and Ka-Io Wong and Chen, {Y. Y.}",
year = "2012",
doi = "10.1109/ITSC.2012.6338865",
language = "English",
isbn = "9781467330640",
series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",
pages = "582--587",
booktitle = "2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012",
note = "2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012 ; Conference date: 16-09-2012 Through 19-09-2012",
}