|University:||Carnegie Mellon University|
|Principal Investigator:||Robert Hampshire|
|PI Contact Information:||http://www.heinz.cmu.edu/faculty-and-research/faculty-profiles/faculty-details/index.aspx?faculty_id=43|
|Project Manager:||Courtney Ehrlichman|
|Funding Source(s) and Amounts Provided (by each agency or organization):||Research and Innovative Technology Administration, University Transportation Centers Program, US Department of Transportation|
|Agency ID/Contract/Grant Number:|
|Start and End Dates:||February 2012 - December 2013|
|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.
|Describe Implementation of Research Outcomes (or why not implemented):|
|Impacts/Benefits of Implementation (actual, not anticipated):||Research in progress|