First Advisor

Christopher Monsere

Date of Award

2014

Document Type

Project

Degree Name

Master of Science (M.S.) in Civil & Environmental Engineering

Department

Civil and Environmental Engineering

Language

English

Subjects

Travel time (Traffic engineering), Wireless communication systems, Multisensor data fusion, Traffic monitoring, Urban transportation

DOI

10.15760/CEEMP.25

Abstract

Travel time is one of the most widely used measures of traffic performance monitoring for the transportation systems. It is a simple concept that refers to the time required to traverse between two points of interest. Travel time is communicated and used by a wide variety of audience such as commuters, media reporters, and transportation engineers and planners. Recent developments within the wireless communication area made it possible to collect travel time data at a relatively low cost. These emerging technologies include mobile phone based technologies, in-vehicle navigation technologies and automatic vehicle identification technologies. Although these technologies offer a great collection source for travel time data, they have different levels of accuracy. In this research two sources of travel time data were evaluated. These sources of data were the INRIX travel time data and the Bluetooth travel time data. The granularity of the INRIX and the Bluetooth data were high in which travel time estimates were reported at a one minute interval. A total of 42 GPS vehicle probe surveys were carried out in three different days to evaluate the accuracy of the INRIX and the Bluetooth travel time estimates. Statistical measures such as the mean absolute error (MAE) and the mean absolute percent error (MAPE) were calculated for a total of 6 segments and 3 time periods (midday, pm peak, and weekend). The INRIX estimates during the midday were either within 0.36 minutes or 22% of the ground truth probe runs, while the Bluetooth estimates during the pm peak were either within 1 minute or 24% of the ground truth probe runs. In addition to hypothesis testing for 13,541 matched-pairs observation, correlation testing was carried out to evaluate the behavior of the Bluetooth and INRIX time series.

Rights

©2014

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Comments

A research project report submitted in partial fulfillment of the requirement for the degree of Master of Science in Civil and Environmental Engineering.

Persistent Identifier

http://archives.pdx.edu/ds/psu/12418

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