Traffic Light Control via Video Accident Detection
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Solution Overview
Problem
Existing emergency notification systems and moving object information communication devices cannot control traffic on the road where an accident has occurred, despite being able to automate data transmission and store relevant information.
Innovation Solution
A traffic control apparatus and system that includes detection means for identifying accidents from video images, determination means to assess the situation, and traffic light control means to manage traffic lights at the accident site, allowing for real-time traffic management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If emergency notification systems transmit report data to reporting destinations, then automated data transmission is achieved, but traffic control capability is lost
Solution Approach 1:
The patent combines the emergency notification function with the traffic control function into a single integrated system. The notification device not only transmits accident information but also controls traffic lights at the accident scene, merging data transmission and traffic management capabilities into one apparatus.
Solution Approach 2:
The notification device is designed with multi-functionality, serving both as an emergency notification system and a traffic control system. It can identify accidents from video images, determine accident situations, control traffic lights, and notify relevant parties, making it a universal device for emergency response.
2Loss of information
If video images and traffic light data are stored in storage parts, then accident information is preserved, but real-time traffic control is lost
Solution Approach 1:
The system performs preliminary actions by capturing video images and storing traffic light data at the time of accident detection. This preliminary data collection enables subsequent real-time traffic control decisions based on accurate accident situation information.
Solution Approach 2:
The system uses feedback from video image analysis and traffic light data to control traffic lights in real-time. The determined accident situation feeds back into the traffic light control mechanism, enabling dynamic adjustment of traffic signals based on actual accident conditions.
3Adaptability or versatility
If traffic lights are controlled at the accident site, then traffic control capability is improved, but system complexity increases
Solution Approach 1:
The notification device performs self-service by autonomously detecting accidents from video images, determining accident situations, and controlling traffic lights without requiring external intervention. This automation reduces the need for complex manual control systems.
Solution Approach 2:
The system uses video images as an intermediary to detect accidents and determine situations, which then triggers traffic light control. This intermediary approach simplifies the overall system by using visual data as a bridge between detection and control functions.
Data Source
AI summary
An imaging device can capture a video image of a road on which a moving object travels. In a traffic control apparatus, detection means detects the occurrence of an accident from a video image captured by an imaging device. Determination means determines the situation of the accident that has occurred based on the video image captured by the imaging device. Traffic light control means controls a traffic light installed at the intersection where the accident has occurred based on the determined situation of the accident.