IoT Parking Management Platform for Smart Cities
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Solution Overview
Problem
In smart cities, the increasing number of vehicles leads to scarce free parking spaces, causing users to spend more time searching for parking, which affects transportation and user experience.
Innovation Solution
A method and system using the Internet of Things (IoT) that includes a management platform to obtain user positions, determine candidate parking lots, assess free parking space information, and provide recommendations to users through a user platform, utilizing a service platform and sensor network to optimize parking lot management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of vehicles increases, then transportation demand is met, but free parking space becomes scarce and users spend more time searching for parking
Solution Approach 1:
The system performs preliminary actions by obtaining user position information and determining candidate parking lots before the user actually needs to park. It calculates arrival time and determines free parking space information in advance, so when the user arrives at the parking lot, the parking recommendation is already ready, eliminating the need for on-site parking search.
Solution Approach 2:
The management platform acts as an intermediary between users and parking lots. It collects real-time parking space information from parking lots, processes it along with user position data, and provides recommended parking information to users. This intermediary system eliminates the direct need for users to physically search for parking spaces.
2Loss of time
If real-time parking space information is provided to users, then parking search time is reduced, but system complexity increases due to IoT integration requirements
Solution Approach 1:
The management platform performs multiple functions within a single system: it obtains user position information, determines candidate parking lots, calculates arrival times, determines free parking space information, and provides recommendations. By consolidating these functions into one universal platform, the system avoids the complexity of multiple separate systems while still providing comprehensive real-time parking information.
3Ease of operation
If parking recommendation system is implemented, then user travel experience is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the essential information needed for parking recommendations from the vast amount of available data. It focuses on obtaining user position, determining candidate parking lots based on preset conditions, calculating arrival time, and identifying free parking spaces. By extracting only the critical information elements, the system reduces information processing load while still providing comprehensive parking recommendations.
Data Source
AI summary
The present disclosure provides a method for managing a parking lot in a smart city based on an Internet of Things, which is executed by a management platform. The method comprises obtaining a user position of a user platform based on a service platform, determining a candidate parking lot that meets a preset condition; determining time when a vehicle to be parked arrives at the candidate parking lot based on the user position; determining free parking space information when the vehicle to be parked arrives at the candidate parking lot; determining recommendation information based on the free parking space information; and sending the recommendation information to the user platform based on the service platform.