Traffic data is used to estimate current traffic conditions so that travelers and agencies can make better decisions about how to use and manage the transportation network. This research explores the fusion of probe data (vehicle speed and direction) with loop data (density, speed, and count) in...

This report documents research focusing on: 1) analyzing performance measurements for California Department of Transportation (Caltrans) Transportation Management Centers (TMCs); 2) identifying and assessing the feasibility of data collection and management activities required to support TMC...

This document presents the final report on a project focusing on new traffic sensor technology, mainly video cameras, for traffic surveillance and detection. It describes a Transportation Management Center (TMC), designed for the collation and computation of multi-site statistics. The report...

The Smart Call Box Field Operational Test evaluated the feasibility and cost-effectiveness of using smart call boxes for five data processing and transmission tasks: traffic census, incident detection, hazardous weather reporting, changeable message sign control, and video surveillance....

The objective of this study is to collect, organize, analyze, and summarize available detector data for the Santa Monica Freeway. The primary goal is to develop on/off ramp counts as input to a synthetic origin/destination model; mainline freeways counts are also needed. Strategies for...