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A Cognitive Method for Optimizing Urban Resources Disclosure Number: IPCOM000252800D
Publication Date: 2018-Feb-12
Document File: 4 page(s) / 170K

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A Cognitive Method for Optimizing Urban Resources

Smart cities are researching methods for reducing parking issues that cause street congestion and wasted time for drivers that must search for spaces. Off-street parking is not a solution; it is costly to build and takes space that could be used for other, more interesting uses.

Some solutions include parking prices that fluctuate based on demand to ensure a space is always available, revamping parking permit policies, and updating zoning laws to allow for transit-oriented developments. These solutions do not address all the factors: efficiency, space utilization, and cost. A creative solution is needed to address the parking challenges in growing cities.

The novel contribution is a Smart Parking Navigation (SPN) System which includes the terminal device to assist a driver with parking lot localization and navigation, a base center for data collection, process, and strategy optimization, and the communication channels in between terminals and the data center. This is a balanced parking option provided to both parking lot management (charges vs. customer needs) and the customer (e.g., cost, traffic, distance, special requests, etc.).

The SPN comprises:

•      A method for managing parking resources consisting of a cognitive agent combining community information and user preferences to direct a user to preferred parking locations and optimize parking availability and usage. The method consists of tracking current and expected parking availability. Community information includes real time traffic monitoring and real-time parking space monitoring. User preferences are manually inputted at an initial time or during use, and can be identified based on social media, web searches, and prior driving patterns.

•      An integrated system to implement the method consisting of a centralized cloud computing system combined with individual user nodes. The centralized cloud computing system receives input from various sensors and the individual user nodes and determines current and expected future parking availability to optimize resource utilization. The individual user nodes pr...