Tracking of heavy vehicles for estimating heavy load distribution across the highway system and Weigh-In-Motion Calibration

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT57-13-C-10005
Agency Tracking Number: DTRT57-13-C-10005
Amount: $149,989.54
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 122FH4
Solicitation Number: DTRT5712RSBIR2
Timeline
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2012-10-10
Award End Date (Contract End Date): 2013-10-05
Small Business Information
4000 Barranca Pkwy., suite 250, Irvine, CA, 92604-
DUNS: 795785745
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
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
Weigh-In-Motion (WIM) has been employed as a major technology to collect heavy vehicles’ data on the freeways. Because WIM is one of the most costly and sophisticated data collection system, how to effectively utilize the valuable WIM data, monitor WIM stations' performance, and identify out of calibration stations are especially important. In this project, we propose an innovative and yet practical approach to develop an Inductive Loop Signature-WIM based real-time heavy vehicle tracking system that combines the use of both WIM data and the inductive loop signature data. The integration of inductive loop signature technology offers a low-cost solution to monitor the performance of the WIM stations, identify out-of-calibration stations, and provide groundtruth truck movement data to be used for calibration. Therefore the development of the Inductive Loop Signature-WIM based Detection System will not only reduce the cost of WIM calibration, but also provide the ability to monitor system performance continuously. In this Phase I project, we will demonstrate the proof of concept of the proposed approach in the real world and investigate its potential applications, such as the estimation truck activities and loading distributions and the calibration of WIM stations.

* Information listed above is at the time of submission. *

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