Augmenting Inductive Loop Vehicle Sensor Data with SPAT and GrID (MAP) via Data Fusion

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT57-13-C-10003
Agency Tracking Number: DTRT57-13-C-10003
Amount: $749,937.54
Phase: Phase II
Program: SBIR
Awards Year: 2013
Solicitation Year: 2011
Solicitation Topic Code: 111FH2
Solicitation Number: DTRT5711RSBIR1
Small Business Information
2020 Kraft Drive, suite 1000, Blacksburg, VA, 24060-
DUNS: 556397615
HUBZone Owned: Y
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Marc Abrams
 President and CTO
 (540) 951-5901
Business Contact
 Pallabi Saboo
Title: CEO
Phone: (540) 951-5915
Research Institution
Our goal is to create a demonstrable software system that we call IntelliFusion, which fuses Connected Vehicle data with data from traditional inductive loop detectors and uses this data to improve traffic control at intersections across the country. Our work will improve the safety of intersections and improve the mobility of traffic through adaptive traffic control which uses data produced by IntelliFusion. The process of data fusion involves merging data obtained from traditional inductive loop detectors or similar presence detectors, and data obtained from a combination of Connected Vehicle Signal Phasing and Timing (SPAT), MAP data, and individual vehicle data from vehicles equipped with Dedicated Short Range Communications (DSRC) On-Board Units (OBUs) communicating Basic Safety Messages (BSM). It is assumed that the Road Side Equipment (RSE) will have as a minimum the vehicle reference number, vehicle latitude, and vehicle longitude of each operational DSRC equipped vehicle within range of an intersection.

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

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