The Travel Time Prediction (TTP) is an important element in the study of the advanced transportation guidance system and control system. In this paper, an advanced method with Extreme Learning Machine algorithm(ELM) has been discussed by analyzing the various travel time prediction method. The feasibility and advantages of Extreme Learning Machine in travel time prediction has been studied, and...

Travel time prediction for urban networks is an important issue in Advanced Traveler Information Systems (ATIS) since drivers can make individual decisions, choose the shortest route, avoid congestions and improve network efficiency based on the predicted travel time information. In this research, two algorithms are proposed to estimate and predict travel time for urban networks, the simulation...

This thesis concerns the prediction of travel times between two points on a map, based on a combination of link-scale road network data and historical trip-scale data. The main idea is that the predictions using the road network data can be improved by a correction factor estimated from historical trip data. The correction factor is estimated both using a Machine Learning approach, more specifi...

#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...

Wunderlich, Kaufman, and Smith 2 routing after a finite and usually small number of iterations. An empirical case study based on the roadway network in Troy, Michigan is included. * This research was supported in part by the University of Michigan ITS Research Center of Excellen Wunderlich, Kaufman, and Smith

This study presented a method of real-time traffic condition identification based on the fuzzy c-means clustering and travel time prediction on urban expressway. The traffic flow characteristics of expressway were analyzed and the traffic flow states were divided into four classes. Then the fuzzy c-means clustering technique was used to classify the sampled historical data and the clustering ce...

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...