Navigation System Parking Probability Guidance
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Solution Overview
Problem
Current navigation systems fail to effectively guide users to find parking places, especially in areas without paid parking options, leading to wasted time and increased traffic congestion.
Innovation Solution
A satellite-aided navigation system determines the probability of finding a parking place by analyzing motion profiles of users, displaying this probability on a map, and guiding users through an optimized route based on likelihood of finding a parking spot within a specified time frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If navigation systems guide users to destination without parking information, then route guidance function is simple, but users waste time circling for parking and traffic congestion increases
Solution Approach 1:
The system determines and provides parking availability information before the user arrives at the destination. By calculating parking probabilities in advance based on historical data and current conditions, the system allows users to plan their parking strategy ahead of time, avoiding time-wasting circling behavior at the destination.
Solution Approach 2:
The system divides the area around the destination into multiple stretches of road and calculates parking probabilities for each segment independently. This segmentation allows the system to provide granular, location-specific parking information, helping users identify the most promising parking locations without needing to search the entire area.
2Object-generated harmful factors
If users search for parking places by circling around destination, then no additional system is needed, but traffic congestion and tie-ups increase
Solution Approach 1:
The system collects data from multiple users' parking search behaviors and uses this feedback to improve parking probability calculations. By continuously analyzing user motion profiles and parking outcomes, the system refines its predictions and provides increasingly accurate parking availability information, reducing unnecessary searching and associated traffic congestion.
Solution Approach 2:
The navigation system acts as an intermediary between users and parking locations. Instead of users directly searching for parking through circling, the system mediates by providing processed information about parking probabilities, enabling users to make informed decisions about where to park without generating congestion through random searching.
3Productivity
If navigation system provides detailed parking probability information, then users can find parking efficiently, but system requires complex data processing and analysis
Solution Approach 1:
The system leverages data generated by users' own navigation usage to determine parking probabilities. By analyzing motion profiles and parking outcomes from the user base, the system self-generates the data needed for predictions without requiring external data collection infrastructure, reducing overall system complexity while maintaining high productivity.
Data Source
AI summary
A procedure for determining the probability of finding a parking place within a certain period of time on a pre-set stretch of road of an area with a multiplicity of stretches of road. With this procedure, motion profiles are detected and statistically evaluated of users of radiolocation-aided, especially satellite-aided, navigation aids in the area. For each user a “parking place found” event is determined; the stretch of road in which the “parking place found” event occurred is detected; and the travel time is detected which the user expended in each of the stretches of the road until the “parking place found” event occurred. From the data thus acquired for a multiplicity of users, a probability is determined of finding a parking place within the set time span on the stretch of the road.