IoT Traffic Signal Backup Power for Outage Congestion Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Urban traffic indication devices fail during power outages, disrupting urban traffic management in smart cities, as they rely on the urban power supply and are not equipped to handle temporary power disruptions effectively.
Innovation Solution
A method and system utilizing IoT-based traffic management platforms that detect power supply issues, predict congestion levels, and determine the need for temporary power supplies to traffic indication devices, employing sensor networks and object monitoring platforms to ensure continuous operation during power outages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traffic indication devices rely on urban power supply, then they can operate continuously under normal conditions, but they fail during power outages disrupting traffic management
Solution Approach 1:
The system performs preliminary detection of power supply status through sensor networks before complete power failure occurs. The traffic management platform receives power supply detection information and predicts congestion degrees in advance, allowing proactive deployment of temporary power supplies to critical traffic indication devices, thereby maintaining operation reliability during power outages
Solution Approach 2:
The patent introduces an intermediary power supply system that bridges the gap between urban power supply and traffic indication devices. When power outages occur, temporary power supplies act as intermediaries to provide alternative power sources, enabling traffic indication devices to continue operating and thus improving both reliability and adaptability
2Reliability
If temporary power supply is provided to all traffic indication devices during power outages, then traffic flow is maintained, but system complexity and cost increase
Solution Approach 1:
The system applies local quality by providing temporary power supplies selectively based on predicted congestion degrees. The traffic management platform identifies specific locations where power failure would cause significant congestion and deploys temporary power supplies only to those critical devices. This approach maintains traffic management reliability while avoiding the complexity and cost of providing power to all devices
Solution Approach 2:
The system implements feedback mechanisms where sensor networks continuously monitor power supply status and traffic conditions. The traffic management platform uses this feedback information to predict congestion degrees and dynamically adjust the deployment of temporary power supplies. This feedback-driven approach ensures reliable traffic management while optimizing resource allocation and reducing system complexity
Data Source
AI summary
The embodiments of the present disclosure provide a method, system, and medium for traffic management in a smart city based on Internet of Things (IoT). The method is implemented on the traffic management platform, comprising: obtaining power supply detection information of traffic indication device through a sensor network platform; predicting a congestion degree at a location of the traffic indication device in a target time period when the power supply detection information is in a power-off state; and determining whether a temporary power supply is needed to be provided to the traffic indication device based on the congestion degree.