Assessing Expected Accuracy of Probe Vehicle Travel Time Reports

Arterial Road Travel Time Study using Probe Vehicle Data

I CHAPTER

Path and travel time inference from GPS probe vehicle data

We consider the problem of estimating real-time traffic conditions from sparse, noisy GPS probe vehicle data. We specifically address arterial roads, which are also known as the secondary road network (highways are considered the primary road network). We consider several estimation problems: historical traffic patterns, real-time traffic conditions, and forecasting future traffic conditions. W...

Increasing Accuracy of Vehicle Detection from Conventional Vehicle Detectors - Counts , Speeds , Classification , and Travel Time

Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks

(2010) Fusing loop detector and probe vehicle data to estimate travel time statistics on signalized urban networks. Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source:

Dynamic Freeway Travel Time Prediction Using Probe Vehicle Data: Link-based vs. Path-based

Short-term travel time prediction is very important to the real time travelers’ information and route guidance system. Various methodologies have been developed for dynamic travel time prediction. However, most of the existing studies presume that path travel time is the simple addition of travel times on the consisting links. Through simulation, it is shown that, under recurrent traffic condit...