NSF Org:	ECCS Division of Electrical, Communications and Cyber Systems
Recipient:	UNIVERSITY OF CONNECTICUT
Initial Amendment Date:	September 17, 2012
Latest Amendment Date:	September 17, 2012
Award Number:	1239030
Award Instrument:	Standard Grant
Program Manager:	Radhakisan Baheti ECCS  Division of Electrical, Communications and Cyber Systems ENG  Directorate for Engineering
Start Date:	October 1, 2012
End Date:	December 31, 2015 (Estimated)
Total Intended Award Amount:	$150,000.00
Total Awarded Amount to Date:	$150,000.00
Funds Obligated to Date:	FY 2012 = $42,893.00
History of Investigator:	Robert Gao (Principal Investigator) Robert.Gao@case.edu
Recipient Sponsored Research Office:	University of Connecticut 438 WHITNEY RD EXTENSION UNIT 1133 STORRS CT  US  06269-9018 (860)486-3622
Sponsor Congressional District:	02
Primary Place of Performance:	University of Connecticut 191 Auditorium Rd., UTEB-3139 Storrs CT  US  06269-1133
Primary Place of Performance Congressional District:	02
Unique Entity Identifier (UEI):	WNTPS995QBM7
Parent UEI:
NSF Program(s):	CPS-Cyber-Physical Systems
Primary Program Source:	01001213DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	7918
Program Element Code(s):	791800
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.041

ABSTRACT

The project aims at making cities "smarter" by engineering processes such as traffic control, efficient parking services, and new urban activities such as recharging electric vehicles. To that end, the research will study the components needed to establish a Cyber-Physical Infrastructure for urban environments and address fundamental problems that involve data collection, resource allocation, real-time decision making, safety, and security. Accordingly, the research is organized along two main directions: (i) Sensing and data acquisition using a new mobile sensor network paradigm designed for urban environments; and (ii) Decision Support for the "Smart City" relying on formal verification and certification methods coupled with innovative dynamic optimization techniques used for decision making and resource allocation. The work will bring together and build upon methodological advances in optimization under uncertainty, computer simulation, discrete event and hybrid systems, control and games, system security, and formal verification and safety. Target applications include: a "Smart Parking" system where parking spaces are optimally assigned and reserved, and vehicular traffic regulation.

The research has the potential of revolutionizing the way cities are viewed: from a passive living and working environment to a highly dynamic one with new ways to deal with transportation, energy, and safety. Teaming up with stakeholders in the Boston Back Bay neighborhood, the City of Boston, and private industry, the research team expects to establish new collaborative models between universities and urban groups for cutting-edge research embedded in the deployment of an exciting technological, economic, and sociological development.

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