Vehicle Parking System with Server Communication
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Solution Overview
Problem
Finding parking spaces in crowded urban areas is difficult due to lack of information on availability and pricing, leading to frustration for drivers, especially near destinations like sport stadiums, where high prices force them to travel further for reasonably priced options.
Innovation Solution
A vehicle system that communicates with a parking server to estimate available parking spaces in zones, considering user preferences, and provides drivers with ranked options based on proximity and price, allowing for automatic selection of the best zone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If drivers travel closer to the destination to park, then parking proximity to target location is improved, but parking price increases
Solution Approach 1:
The system performs preliminary actions by estimating parking space availability and providing ranked parking zone recommendations before the driver arrives at the destination. The vehicle system queries the parking server in advance, receives estimated availability data, and presents ranked options to the driver, allowing parking decisions to be made beforehand rather than at the moment of arrival.
Solution Approach 2:
The system implements feedback loops where the parking server continuously monitors and updates parking space availability estimates, and the vehicle system responds by adjusting recommendations based on real-time data. The driver receives feedback on expected availability and pricing for different zones, allowing dynamic decision-making that balances proximity and cost based on current conditions.
2Quantity of substance
If drivers search for parking spaces manually, then parking cost control is improved, but time consumption increases
Solution Approach 1:
The parking server acts as an intermediary between the driver and the complex parking infrastructure. It aggregates data from multiple parking zones, performs calculations on availability and pricing, and presents simplified ranked recommendations to the driver. This intermediary service eliminates the need for manual searching and comparison of multiple zones, saving time while maintaining cost control.
Solution Approach 2:
The system replaces the mechanical process of manual parking search and evaluation with an automated information processing system. Instead of the driver physically searching and comparing parking options, the vehicle system automatically queries the parking server, processes the data, and presents ranked recommendations, substituting manual mechanical search with automated digital information processing.
3Ease of operation
If drivers lack parking information, then decision simplicity is improved, but parking availability knowledge is worsened
Solution Approach 1:
The system segments the parking information into discrete, manageable components: availability estimates, pricing data, and ranked recommendations. By breaking down the complex parking situation into these segmented information pieces, the driver receives clear, actionable data without being overwhelmed by complexity. The parking server organizes and presents information in a structured manner that maintains simplicity while providing comprehensive knowledge.
Data Source
AI summary
A vehicle system includes a communication interface and a processing device. The processing device determines a proximity of a host vehicle to a target location. When the proximity to the target location is less than a predetermined value, the processing device commands the communication interface to transmit the target location to a parking server. In response, the processing device receives a message identifying at least one parking zone from the parking server.