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 parking information and management system by leveraging Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications. The project's approach to leveraging V2V and V2I to develop a parking management system extends previous work in parking management systems. The project has developed a novel parking prediction scheme. The project proposes 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.
Smart Parking
2013
114 pages
Report
Keine Angabe
Englisch
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