Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences

Series

TREC Final Reports

Travel time (Traffic engineering)

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Utilizing Egocentric Video And Sensors To Conduct Naturalistic Bicycling Studies, Feng Liu, Miguel A. Figliozzi Aug 2016

Utilizing Egocentric Video And Sensors To Conduct Naturalistic Bicycling Studies, Feng Liu, Miguel A. Figliozzi

TREC Final Reports

Existing data collection methods are mostly designed for videos captured by stationary cameras and are not designed to follow cyclists along a route or to integrate other sensor data. The goals of this research are: a) to develop a platform to collect naturalistic video bicycling data, b) to develop a methodology to integrate video data with other sensors that measure cyclists’ position and comfort levels, and c) to apply the platform and data collection methodology to a real-world route. This research effort has successfully integrated video and sensor data to describe cyclists’ comfort levels along a route. It was found …


Developing Corridor-Level Truck Travel Time Estimates And Other Freight Performance Measures From Archived Its Data, Christopher M. Monsere, Michael Wolfe, Heba Alawakiel, Max Taylor Stephens Aug 2009

Developing Corridor-Level Truck Travel Time Estimates And Other Freight Performance Measures From Archived Its Data, Christopher M. Monsere, Michael Wolfe, Heba Alawakiel, Max Taylor Stephens

TREC Final Reports

The objectives of this research were to retrospectively study the feasibility for using truck transponder data to produce freight corridor performance measures (travel times) and real-time traveler information. To support this analysis, weigh-in-motion data from each of the twenty-two stations in Oregon were assembled, processed, and uploaded in the WIM data archive is housed under the Portland Transportation Archive Listing (PORTAL) umbrella at Portland State University’s Intelligent Transportation Systems Lab. Nearly 42,000,000 truck records were successful uploaded to the archive dating back to July 2005. Two separate algorithms necessary for this research were scripted, tested, and validated. The closest stations …