Comparative evaluation of link travel time from different technologies and sources

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Pinnamaneni, R. C. (2014). Comparative evaluation of link travel time from different technologies and sources. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Accurate travel time information is required to efficiently plan and effectively manage transportation network. Technologies and data sources such as Bluetooth detectors and INRIX offer the potential to continuously collect the data and use it for long-term transportation planning as well as real-time traffic condition monitoring. However, their ability to accurately collect travel time data is still unclear. First phase of this study focused on capturing and estimating link/section level travel times using manual floating car method, Global Positioning System (GPS) floating car method, Bluetooth detectors, and INRIX. A comparison between travel times collected manually and using various technologies (GPS, Bluetooth detectors and INRIX) was performed. Results showed that both Bluetooth detectors and INRIX gave promising estimates for freeways. However, travel time data captured for arterial streets using Bluetooth detectors were less accurate and not dependable when compared to other technologies. Moreover, data from Bluetooth detectors showed a significant number of outliers. Therefore, the second phase focused on filtering raw sample of Bluetooth detectors data, estimating travel time, and then comparing with manual data to recommend filtering and data capturing criteria.

Details
Author

Pinnamaneni, Rahul Chowdary

Title

Comparative evaluation of link travel time from different technologies and sources

Physical Description

1 online resource (71 pages) : PDF

Date

2014

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Accurate travel time information is required to efficiently plan and effectively manage transportation network. Technologies and data sources such as Bluetooth detectors and INRIX offer the potential to continuously collect the data and use it for long-term transportation planning as well as real-time traffic condition monitoring. However, their ability to accurately collect travel time data is still unclear. First phase of this study focused on capturing and estimating link/section level travel times using manual floating car method, Global Positioning System (GPS) floating car method, Bluetooth detectors, and INRIX. A comparison between travel times collected manually and using various technologies (GPS, Bluetooth detectors and INRIX) was performed. Results showed that both Bluetooth detectors and INRIX gave promising estimates for freeways. However, travel time data captured for arterial streets using Bluetooth detectors were less accurate and not dependable when compared to other technologies. Moreover, data from Bluetooth detectors showed a significant number of outliers. Therefore, the second phase focused on filtering raw sample of Bluetooth detectors data, estimating travel time, and then comparing with manual data to recommend filtering and data capturing criteria.

Genre

masters theses

Subjects--Topics

Civil engineering
Transportation--Planning

Degree

M.S.

Keywords

Bluetooth Detectors
GPS
INRIX
Travel Time

Subject Area

Civil Engineering

Advisor(s)

Pulugurtha, Srinivas

Committee Members

Naylor, David
Kane, Martin

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2014.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Pinnamaneni_uncc_0694N_10729

Permalink

http://hdl.handle.net/20.500.13093/etd:960