Freeway travel time estimation using existing fixed traffic sensors : phase 1.

Wu, Yao-Jan; Yang, Shu; Abdoli, Saber; Saint Louis University. Parks College of Engineering, Aviation and Technology

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Freeway travel time estimation using existing fixed traffic sensors : phase 1.

2013-08-01
By Wu, Yao-Jan ; Yang, Shu ; Abdoli, Saber

[PDF-4.40 MB]

English

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Details:

Creators:

Wu, Yao-Jan ; Yang, Shu ; Abdoli, Saber

Wu, Yao-Jan ; Yang, Shu ; Abdoli, Saber Less -
Corporate Creators:

Saint Louis University. Parks College of Engineering, Aviation and Technology
Subject/TRT Terms:

[+]

Databases Data Collection Freeways Performance Measurement Quality Assurance Sensors Traffic Data Traffic Estimation Travel Time
Publication/ Report Number:

cmr14-008
Resource Type:

Tech Report
Geographical Coverage:

St. Louis (Missouri)
Corporate Publisher:

Missouri. Dept. of Transportation. Research, Development and Technology Division
Abstract:

Freeway travel time is one of the most useful pieces of information for road users and an

important measure of effectiveness (MOE) for traffic engineers and policy makers. In the Greater

St. Louis area, Gateway Guide, the St. Louis Transportation Management Center (TMC)

operated by the Missouri Department of Transportation (MoDOT), already collects traffic data

from more than 700 fixed traffic sensors located along major freeways and arterials. Due to their

significant investment in fixed freeway sensors, MoDOT has been striving to more fully utilize

this data to extract useful information for stakeholders. One potential application is to convert the

information collected by the fixed traffic sensors (point detectors) directly into travel times

without the need to install additional sensors. This project developed a database specifically

designed and optimized for the purpose of freeway performance measurement and implemented

a data quality assurance procedure to examine the quality of the data collected. After a

comprehensive literature review, the instantaneous travel time estimation model was selected and

implemented in a stand-alone MATLAB-based system and a Microsoft Excel VBA-based tool.

Several case studies were conducted to test the applicability of the system. The estimated travel

time results were then verified using travel time data collected by a Bluetooth-based method and

a video-based manual-vehicle-matching method. This Phase 1 project has proved the feasibility

of the proposed approach. The travel time estimation method will be improved and the coverage

of travel time estimation expanded to the city’s entire freeway network in Phase 2.
Format:

PDF
Funding:

TR201311
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:26a782de7d1caa30bb6cc7d9e8ad84bd07e1c676c33028a445462e461fd5fe98
Download URL:

https://rosap.ntl.bts.gov/view/dot/27023/dot_27023_DS1.pdf
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Freeway travel time estimation using existing fixed traffic sensors : phase 1.

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