Principal Investigator

Robert Hampshire

Status

Completed

Start Date

Feb. 1, 2012

End Date

Dec. 31, 2013

Project Type

Research Advanced

Grant Program

MAP-21 TSET - Tier 1 (2012 - 2016)

Grant Cycle

2014 TSET UTC

Visibility

Public

Abstract

Several cities are undertaking expensive parking management and pricing programs. For example, San Francisco has recently deployed a $20 million parking information and pricing program called SFPark. The goal of this proposal is to develop an inexpensive decentralized parking information and management system by leveraging an existing centralized parking information system. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications are among the potential technologies for the distributed parking information system. 

Our approach to leveraging V2V and V2I to develop a parking management system extends our previous work in parking management systems. We have developed a novel parking prediction scheme. We propose using data from V2V and/or V2I to infer the three key inputs used in our previous research. Each driver looking for parking has a belief about the current availability of parking. When the driver comes into contact with other drivers, updates his belief about the current availability of parking.    

Description

-

Timeline

February 2012 - December 2013

Strategic Description / RD&T

Deployment Plan

-

Expected Outcomes/Impacts

-

Expected Outputs

TRID

Individuals Involved

Email	Name	Affiliation	Role	Position
hamp@umich.edu	Hampshire, Robert	Carnegie Mellon Heinz College	PI	Faculty - Adjunct

Budget

Amount of UTC Funds Awarded

$123281.92

Total Project Budget (from all funding sources)

$123281.92

Documents

Type	Name	Uploaded
Final Report	Smart_Parking.pdf	March 21, 2018, 8:27 a.m.

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