Measuring Traffic Performance with the Inductivew Loop Detector Signature Technologies

Award Information
Agency:
Department of Transportation
Amount:
$99,632.00
Program:
SBIR
Contract:
DTRT57-10-C-10077
Solitcitation Year:
2010
Solicitation Number:
DTRT5710RSBIR2
Branch:
N/A
Award Year:
2010
Phase:
Phase I
Agency Tracking Number:
DTRT57-10-C-10077
Solicitation Topic Code:
102FH2
Small Business Information
CLR Analytics Inc.
4000 Barranca Parkway, suite 250, Irvine, CA, 92604
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
795785745
Principal Investigator
 Lianyu Chu
 President
 (949) 705-8566
 lchu@clr-analytics.com
Business Contact
 Lianyu Chu
Title: President
Phone: (949) 705-8566
Email: lchu@clr-analytics.com
Research Institution
N/A
Abstract

 

Inductive loop detection systems are currently the most invested technology for obtaining traffic data in the United States, and are widely deployed on most major freeway networks.  With the push towards sustainability in transportation, there is an increasing need to obtain further insight into traffic system performance by obtaining more accurate and comprehensive traffic system performance measures.  Inductive loop signature-based system has shown the potential to address the needs with the advantage of its direct compatibility with existing traffic controllers and traffic management center operations.  This project proposes a real-time inductive loop signature based vehicle re-identification and vehicle classification system.  It will demonstrate a real-time classification of vehicles at each station to FHWA classification scheme and a real-time vehicle tracking system between two locations using inductive loop signature technology.  A ground-truth system and evaluation procedure will be set up for system assessment, and the rigorous statistic analysis of tracked against ground-truthed vehicles will be performed.  Finally, a point-based performance measures system will be developed using the outputs form the proposed vehicle tracking system.

* information listed above is at the time of submission.

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