Sparse Travel Time Estimation from Streaming Data

Developing travel time estimation methods using sparse GPS 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 ...

Institutional Repository Developing travel time estimation methods using sparse GPS data

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,...

Travel Time Estimation for Ambulances using Bayesian Data Augmentation

Estimates of ambulance travel times on road networks are critical for effective ambulance base placement and real-time ambulance dispatching. We introduce new methods for estimating the distribution of travel times on each road segment in a city, using Global Positioning System (GPS) data recorded during ambulance trips. Our preferred method uses a Bayesian model of the ambulance trips and GPS ...