Commercial remote sensing & spatial information (CRS & SI) technologies program for reliable transportation systems planning : volume 1 - comparative evaluation of link-level travel time from different technologies and sources.

Pulugurtha, Srinivas S.; Pinnamaneni, Rahul C.; Duddu, Venkata R.; Reza, R.M. Zahid; University of North Carolina at Charlotte. Dept. of Civil and Environmental Engineering

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Commercial remote sensing & spatial information (CRS & SI) technologies program for reliable transportation systems planning : volume 1 - comparative evaluation of link-level travel time from different technologies and sources.

2015-03-01
By Pulugurtha, Srinivas S. ; Pinnamaneni, Rahul C. ; Duddu, Venkata R. ; ...

[PDF-4.36 MB]

English

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Creators:

Pulugurtha, Srinivas S. ; Pinnamaneni, Rahul C. ; Duddu, Venkata R. ; Reza, R.M. Zahid

Pulugurtha, Srinivas S. ; Pinnamaneni, Rahul C. ; Duddu, Venkata R. ; Reza, R.M. Zahid Less -
Corporate Creators:

University of North Carolina at Charlotte. Dept. of Civil and Environmental Engineering
Subject/TRT Terms:

[+]

Bluetooth Technology Data Collection Geographic Information Systems Global Positioning System Remote Sensing Technological Innovations Transportation Planning Travel Time
Publication/ Report Number:

RITARS-12-H-UNCC-1
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology
Abstract:

Accurate travel time information is required to efficiently plan and effectively manage transportation network. Technologies and

private data sources such as INRIX, TomTom and HERE offer the potential to continuously collect travel time 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. The first phase of this study focused on capturing and estimating link/section level travel times on

arterial streets and freeways 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 / sources (GPS,

Bluetooth detectors and INRIX) was performed for each travel time run. Results showed that both Bluetooth detectors and

INRIX yield promising estimates for freeways. However, travel time data captured for arterial streets using Bluetooth detectors

are less accurate and not dependable when compared to other technologies. Moreover, data from Bluetooth detectors captured

using the vendor’s software 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 travel time data to recommend

filtering and data capturing criteria. The effect of spacing between the Bluetooth detectors and signal cabinet controller location

(in which Bluetooth detector was placed) on the percent difference in travel time was examined. The role of on-network and

temporal characteristics on difference in travel time from GPS, Bluetooth detectors and INRIX (when compared to ground truth)

was also examined
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:f59a8dc68622308e2c30d42936742b75698b50dd7f7a57b8526540a9b37fdfd6
Download URL:

https://rosap.ntl.bts.gov/view/dot/28741/dot_28741_DS1.pdf
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Commercial remote sensing & spatial information (CRS & SI) technologies program for reliable transportation systems planning : volume 1 - comparative evaluation of link-level travel time from different technologies and sources.

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