Title of Document: UNCERTAINTY ASSOCIATED WITH TRAVEL TIME PREDICTION: ADVANCED VOLATILITY APPROACHES AND ENSEMBLE METHODS YANRU ZHANG, PH.D, 2015 Directed By: ALI HAGHANI,PROFESSOR DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING Travel time effectively measures freeway traffic conditions. Easy access to this information provides the potential to alleviate traffic congestion and to increase t...

Travel-time information could be applied in various fields and purposes. From the travellers’ viewpoints, the travel-time information helps to save travel-time and improve reliability through the selection of travel routes pre-trip and en-route. In the application of logistics, travel-time information could reduce the delivery costs, increase the reliability of delivery, and improve the service...

Background. Bus transit time prediction is to predict how long it takes for a bus to travel from point A to point B. Good prediction helps with urban transportation planning and bus riders’ time planning. Artificial neural networks have been proven to work well in this field. Aim. This project aims to make good travel time predictions for both route and segments of route with the bus GPS data u...

Traffic prediction systems can play an essential role in intelligent transportation systems (ITS). Prediction and patterns comprehensibility of traffic characteristic parameters such as average speed, flow, and travel time could be beneficiary both in advanced traveler information systems (ATIS) and in ITS traffic control systems. However, due to their complex nonlinear patterns, these systems ...

One of user's queries from navigation service is to find the nearest facility in terms of time. The facility that is being questioned by the user as a destination may have a queuing service system (e.g. bank), which means that the cost function of the shortest path includes the waiting time at the destination as well as the travel time. This research conducts in the zone 1 of Mashhad with Bank ...

We show that prediction of travel time on a 28-km long highway section based on on-line travel time measurements with video is practicable by data mining and neuro-fuzzy methods. We introduce two new prediction models. The first one is a result of GUHA style data mining analysis and Total Fuzzy Similarity method, and the second one is a hierarchical model based on neuro-fuzzy modelling. Compari...