Parking Violation Prediction System Using Crowdsourced Data
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Solution Overview
Problem
Complexity in parking rules and regulations leads to confusion among drivers, resulting in frequent parking violations, as signs and rules can be difficult to interpret, especially in urban areas with multiple restrictions and varying times, causing unintended violations and increased congestion.
Innovation Solution
A system utilizing a central computing device connected to a unified database that stores and analyzes parking violation data, including historical and real-time information, to predict potential violations and provide users with notifications, using a location determining apparatus and user engagement panel to offer guidance and rewards for contributing data, thus aiding in adherence to parking rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parking rules and regulations are made comprehensive and detailed, then parking management effectiveness is improved, but driver understanding and compliance difficulty increases
Solution Approach 1:
The patent introduces a mobile application as an intermediary between complex parking regulations and drivers. The app receives, processes, and translates comprehensive parking rules into simple, location-specific guidance, acting as a mediator that maintains regulatory completeness while improving driver understanding and compliance.
Solution Approach 2:
The patent segments the comprehensive parking regulations into location-specific, time-specific, and vehicle-type-specific rules. By dividing the complex rule set into manageable segments that are delivered contextually through the mobile app, the system maintains comprehensive coverage while reducing driver confusion.
2Reliability
If multiple parking restrictions and signs are implemented, then parking order is improved, but driver confusion and violation rate increases
Solution Approach 1:
The patent implements a feedback mechanism where the mobile app continuously provides real-time parking guidance based on the driver's location and current parking situation. This feedback loop helps drivers understand applicable restrictions without confusion, reducing violations while maintaining parking order.
Solution Approach 2:
The patent provides preliminary parking guidance before drivers arrive at problematic locations. By notifying drivers in advance about parking restrictions at their destination, the system prevents confusion and violations before they occur, rather than reacting after violations happen.
3Object-generated harmful factors
If real-time parking guidance system is deployed, then parking violation reduction is improved, but system complexity and data processing requirement increases
Solution Approach 1:
The patent implements self-service through crowdsourced data collection, where drivers voluntarily contribute parking violation data and guidance feedback to the system. This distributes the data collection burden and reduces the need for complex centralized monitoring infrastructure.
Solution Approach 2:
The patent uses mobile devices as portable copies of the central server's parking guidance system. Each driver's mobile device holds a simplified copy of the relevant parking rules and receives real-time guidance locally, reducing the data processing burden on centralized systems.
4Measurement precision
If comprehensive parking data is collected and analyzed, then parking guidance accuracy is improved, but data storage and processing requirement increases
Solution Approach 1:
The patent applies local quality by storing and processing only the parking data relevant to each driver's current location and situation. Rather than processing all comprehensive parking data universally, the system selectively processes and stores only the locally applicable rules and guidance, reducing overall data requirements while maintaining high accuracy.
Data Source
AI summary
A system for providing parking guidance includes storing historical parking violation related data correlated to real-time, parking violation related data, where a central computing system communicates with a user's computing device for notifying a user how to avoid receiving parking violation citations. The data is stored in a unified database, where the data is clustered by data types and by type of vehicle or type of vehicle plate. The user's computing device is used to identify parking intent, and a location determining apparatus identifies a current location of the user. A user engagement panel is used to share parking violation related data, where rewards are allocated to a user for contributing useful data, which are rated. Highly rated data is incorporated into notifications. The data is analyzed to predict a violation. A notification corresponding to the current location and user type are generated when violations are predicted.