Unauthorized Vehicle Detection via Crowdsourced Sensor Data
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Solution Overview
Problem
Current parking systems face challenges in efficiently identifying and addressing unauthorized vehicle obstructions and managing parking space availability, leading to user frustration and increased costs due to manual patrols.
Innovation Solution
A network of vehicles equipped with sensors and GPS, communicating with a server to generate a parking heat map that identifies available and unauthorized parking spaces, updates space status in real-time, and adjusts pricing based on demand, using data from vehicles and users to optimize parking management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a dedicated patrol system is maintained to verify vehicle authority and assess parking space availability, then parking enforcement reliability is improved, but system cost and complexity increase
Solution Approach 1:
The system enables unauthorized vehicles to self-identify through their own sensor data (cameras, LIDAR, radar) that automatically detect and report obstructions in parking spaces. This eliminates the need for external patrol vehicles and drivers, as the parking enforcement function is performed by the vehicles themselves or by infrastructure that passively collects data.
Solution Approach 2:
The mechanical patrol system with dedicated vehicles and drivers is replaced with an electronic/data-based system using sensors, GPS tracking, server processing, and automated notifications. The physical patrol activity is substituted with digital data collection and analysis, significantly reducing operational complexity and costs.
2Measurement precision
If manual patrols are used to verify parking authority and assess space availability, then parking enforcement accuracy is improved, but operational costs increase
Solution Approach 1:
Vehicles in the system serve multiple functions: they act as both users seeking parking spaces and as mobile sensors for detecting obstructions. The same vehicle fleet that needs parking also contributes to parking enforcement by collecting data, eliminating the need for separate patrol vehicles and reducing overall system costs.
Solution Approach 2:
The system implements continuous feedback loops where sensor data from vehicles and infrastructure is constantly monitored, analyzed by servers, and used to update parking availability information in real-time. This automated feedback mechanism maintains high accuracy without requiring manual intervention, reducing operational costs while preserving measurement precision.
3Measurement precision
If parking spaces are monitored in real-time using vehicle sensor data, then parking availability information accuracy is improved, but data processing complexity increases
Solution Approach 1:
A central server acts as an intermediary that receives, processes, and synthesizes data from multiple vehicles and infrastructure sensors. This intermediary consolidates the complex data processing task into a single location, managing the computational complexity while providing accurate real-time parking availability information to users through simplified interfaces.
Data Source
AI summary
A request for a parking space is received from a requesting vehicle. Data is received from at least one data-collecting vehicle related to at least one parking space. Based at least in part on the received data, a parking availability map is generated indicating a parking space appropriate for the requesting vehicle. If the parking space is occupied by an unauthorized vehicle, a message is provided to a parking enforcement authority that the parking space is occupied by an unauthorized vehicle.