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Determination of Terrain Ponding for Logistics Emplacement and Planning

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-13-C-0168
Agency Tracking Number: A131-019-0211
Amount: $99,945.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A13-019
Solicitation Number: 2013.1
Timeline
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2013-09-25
Award End Date (Contract End Date): 2014-03-24
Small Business Information
962 Wayne Avenue Suite 800
Silver Spring, MD 20910-4453
United States
DUNS: 053885604
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mark Cammarere
 Principal Staff Engineer
 (315) 797-0613
 mark.cammarere@tsc.com
Business Contact
 Robert Graziano
Title: President and CEO
Phone: (203) 601-8314
Email: robert.graziano@tsc.com
Research Institution
N/A
Abstract

Accounting for the impacts of terrain and weather is key to identifying potential Courses of Action that mitigate their effects. TSC and CSU propose a convergence of technologies 1) CSU"s prototype engine for estimating locations prone to water ponding, 2) the Army Research Laboratory"s My Weather Impacts Decision Aid (MyWIDA) which already produces weather impact maps and 3) TSC"Petroleum and Water Trace Locator (PAWTL). Being developed for fielding by PM Petroleum and Water Systems (PM-PAWS), the PAWTL performs terrain analysis to support trace planning for the Army"s Assault Hoseline System (AHS), Tactical Water Distribution System (TWDS) and Inland Petroleum Distribution System (IPDS) programs of record. The uniqueness of our approach includes combining a considerable Army investment with other innovative technologies in a packaged, flexible and configurable terrain and weather impacts analysis capability for tactical logistics. In Phase I, TSC and CSU will investigate improvements to the existing PAWTL and ponding engine to provide high fidelity predictions. Our team will develop a MyWIDA insertion strategy, determine requirements for a terrain analysis natural language interface, and define related user and software interfaces. In Phase II, our team will mature the ponding prediction tool and fully integrate it with MyWIDA.

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

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