Cognitive Hybrid Route Optimization for Parking and Walking based on multiple vicinity waypoints
Publication Date: 2017-Jun-07
The IP.com Prior Art Database
Cognitive Hybrid Route Optimization for Parking and Walking Based on Multiple Vicinity Waypoints
Disclosed is a cognitive-based parking space assignment system. The system and associated methods enable the optimization of parking space assignments for drivers’ and passengers’ convenience based on navigating to multiple waypoints upon exiting the vehicle and walking.
Over population of cities has contributed to an increase in vehicle parking demands. Random parking space selection and occupation is inefficient. For example, if a person needs to visit a shopping mall and reach two or more stores, then a system to indicate a parking space that minimizes the overall walking distance between stores would improve efficiency and save time. A system is needed to optimize parking space, increase parking efficiency, and improve transportation and navigation experiences for users/drivers. Shopping mall customers, for example, can benefit from some live navigation assistance for both parking and walking hybrid optimization. The novel contribution is a method and system that enable the optimization of parking space assignments for drivers’ and passengers’ convenience based on navigating to multiple waypoints upon exiting the vehicle and walking. The solution provides a hybrid approach to route guidance based on combined parking and walking activity for multiple destinations. The objective is to maximize the usage/space within a parking area while maintaining order, structure, and safety to all drivers, passengers, and pedestrians. The system helps maximize total potential capacity within a parking area and optimizes navigation routes for users as while driving and walking to listed destinations. The system assigns parking spaces on demand within an area (e.g., parking garage, parking lot, etc.) based on user-specified waypoints and the defined walking and parking hybrid route as defined by the system method. The core novelty is a cognitive-based parking space assignment system that optimizes the location each driver is assigned within a parking space/structure using methods to:
1. Determine the user's waypoints of interest within a physically bound area 2. Optimize the best possible walking route optimization utilizing pattern recognition
for walking routes 3. Analyze (i.e., cognitive method) multiple variables and waypoints and assign an
optimal available parking spaces based on walking route results 4. Provide the user hybrid- based instructions for both parking and walking to
seamlessly park a vehicle, exit the vehicle to walking, and receive walking directions to final destination
5. Apply geofencing to establish certain types of spaces suitable for different sizes of vehicles
Cognitive Tooling & Techniques For input, the method steps comprise multiple cognitive based tooling and techniques:
Data Mining: The entire process and methods enclosed are based on a fast and efficient cognitive means to acquire data. Utilizing the internet information, loca...