A City Path Travel Time Estimation Method Using ATMS Travel Time and Pattern Data

Travel Time Estimation Using Floating Car Data

This project explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month ...

Urban Travel Time Estimation Using Real Time Bus Tracking Data

In this paper, the concept of using bus probes for urban street travel time estimation in the advanced traveler information system (ATIS) application is investigated through both a thorough literature review and a case study in downtown Chicago using the Chicago Transit Authority (CTA)'s buses. First, existing bus probes studies are reviewed and compared with respect to the research objectives,...

Value of Travel Time :Theoretical and Empirical Method

The value of travel time savings (VTTS) is the monetary value attached to save a determined amount of travel time. VTTS is also the most important benefit category aimed at justifying investments in transport infrastructures by public administrations. Hence VTTS played a significant role in various economic studies, both analytical and empirical (Zamparini & Reggiani, 2007). "It is difficult to...

Dynamic Travel Time Prediction using Pattern Recognition

21 Travel-time information is an essential part of Advanced Traveler Information Systems (ATISs) 22 and Advanced Traffic Management Systems (ATMSs). A key component of these systems is the 23 prediction of travel times. From the perspective of travelers such information may assist in 24 making better route choice and departure time decisions. For transportation agencies these data 25 provide cr...

Developing travel time estimation methods using sparse GPS data