Online Learning Solutions for Freeway Travel Time Prediction
نویسندگان
چکیده
منابع مشابه
Experienced Travel Time Prediction in Congested Freeway Routes
#13-1040 2 3 Experienced Travel Time Prediction in Congested Freeway Routes 4 5 6 By 7 8 9 Mehmet Yildirimoglu 10 Urban Transport Systems Laboratory 11 School of Architecture, Civil and Environmental Engineering 12 Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland 13 Phone: +41(21)693-2484 14 E-mail: [email protected] 15 16 17 and 18 19 20 Nikolas Geroliminis* 21 Urban Tran...
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Travel time is considered as an important performance measure for roadway systems, and dissemination of travel time information can help travelers to make travel decisions such as route choice or time departure. Since the traffic data collected in real time reflects the past or the current conditions on the roadway, a predictive travel time methodology should be used to obtain the information t...
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A travel time prediction algorithm scalable to large freeway networks with many nodes with arbitrary travel routes is proposed. Instead of constructing separate predictors for individual routes, it first predicts the whole future space-time field of travel times and then traverses the required subsection of the predicted travel time field to compute the travel time estimate for the requested ro...
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The objective of this study was to identify measures appropriate to estimate travel time reliability and apply them to study the reliability of travel time under varying freeway operating conditions. More specifically, a case study was undertaken to study travel time reliability along the I-65 corridor in the State of Alabama. The objectives of this study were to: a) Calculate reliability metri...
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In this paper we address the problem of predicting a time series using the ARMA (autoregressive moving average) model, under minimal assumptions on the noise terms. Using regret minimization techniques, we develop effective online learning algorithms for the prediction problem, without assuming that the noise terms are Gaussian, identically distributed or even independent. Furthermore, we show ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Intelligent Transportation Systems
سال: 2009
ISSN: 1524-9050
DOI: 10.1109/tits.2007.915649