Travel Time Prediction using Machine Learning and Weather Impact on Traffic Conditionsdoi:10.1109/I2CT45611.2019.9033922Bilash DebSalehin Rahman KhanKhandker Tanvir HasanAshikul Haque KhanMd. Ashraful AlamIEEEInternational Conference for Convergence for Technology...
Travel Time Prediction Models for Major Arterial Road in Baghdad City using Manufactured GPS device Travel time on arterials can be rotten into two components, free flow travel time and delay. That's where the difference between the observed travel time and travel time of free flow, the delay ...
However, it is possible to obtain more accurate results using PPR but with extra pre-processing work, namely on example selection and domain values definition. 展开 关键词: travel time prediction long-term machine learning regression DOI: 10.3233/IDA-2012-0532 ...
Bus travel-time prediction has drawn a lot of research interests in previous literature. This paper proposes a prediction model for bus travel time based on the support vector machine (SVM) regression method. A forgetting factor is introduced to assign the weight to the recent data resulting from...
We investigate if the vehicle travel time after 6 h on a given street can be predicted, provided the hourly vehicle travel time on the street in the last 19 h. Likewise, we examine if the traffic status (i.e., low, mild, or high) after 6 h on a given str
With machine learning, it is possible to infer such rules and model the price variation based on a number of features. Wang et al. (2019) propose a framework for air prediction using a machine learning approach. In their study, they predict the quarterly airfare price on the market segment...
Freeway travel time prediction is a key technology of Intelligent Transportation Systems (ITS). Many scholars have found that periodic function plays a positive role in improving the prediction accur...
Travel time predictionMachine learningGaussian ProcessesSparse approximationTrajectory dataFreight vehicleTravel time prediction is important for freight transportation companies. Accurate travel time prediction can help these companies make better planning and task scheduling. For several reasons, most c...
This paper proposes a methodology for online prediction of travel time reliability based on real-world measurements in light of the probabilistic character of traffic breakdown. A discrete time Markov chain is developed to represent the flow breakdown event. Through the calibrated transition probability ...
which has gained attention in the transportation domain. Besides, urban public transport is a non-stationary, time-variant, and stochastic system, therefore using SVM in bus travel time prediction has important significance, which has been found to perform well compared to the other predictors[11-...