AI Traffic Light Control System for Dynamic Green Time Adjustment

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Solution Overview

Problem

Traditional traffic light control systems rely on fixed timing settings based on experience, leading to insufficient green light duration during increased traffic flow, causing congestion, and require extensive manpower for real-time adjustments.

Innovation Solution

A control system utilizing a camera and artificial intelligence device to capture images before the red light turns off, determining the green light duration using an AI algorithm, allowing for real-time adjustments based on current traffic flow.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional fixed timing traffic light control is used, then the control system is simple and easy to operate, but the green light duration cannot be adjusted in real-time according to traffic flow, causing traffic congestion

Engineering Contradiction:

Improvereal-time adjustment capabilityVSAvoidcontrol system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent replaces manual traffic police command and surveillance personnel control with an automated AI-based system. The camera captures images of waiting vehicles, the AI algorithm processes these images to determine optimal green light duration, and the system automatically controls the traffic lights without human intervention, thereby achieving real-time adaptability while maintaining operational simplicity

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The traffic light control system performs self-adjustment based on real-time traffic conditions. The camera continuously monitors the intersection, the AI algorithm automatically processes the visual data to calculate appropriate green light duration, and the system implements the control decisions autonomously, enabling the system to serve itself without requiring external human input or intervention

Inventive Principle:

Principle #25Self-service

2Productivity

If manual control by traffic police or surveillance personnel is used, then real-time traffic flow adjustment is possible, but a very large number of personnel are required and long-term uninterrupted command or monitoring is difficult

Engineering Contradiction:

Improvetraffic control efficiencyVSAvoidnumber of personnel

Core Design Contradiction:

ProductivityVSQuantity of substance

Solution Approach 1:

The patent substitutes human traffic police and surveillance personnel with an automated system comprising a camera and AI algorithm. The camera captures images of vehicles waiting at the intersection, the AI algorithm processes these images to determine the optimal green light duration, and the system automatically implements the control decisions, thereby achieving high traffic control efficiency without requiring any human personnel

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system autonomously performs all traffic monitoring and control functions without human intervention. The camera continuously monitors traffic conditions, the AI algorithm automatically processes the visual data to calculate optimal green light duration, and the system implements the control decisions independently, enabling uninterrupted long-term operation without personnel fatigue or availability constraints

Inventive Principle:

Principle #25Self-service

3Productivity

If fixed red light and green light timing is used, then the control system is simple to implement, but the green light time may be insufficient when traffic flow increases, resulting in traffic congestion

Engineering Contradiction:

Improvetraffic flow throughputVSAvoidgreen light duration

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent implements a feedback mechanism where the camera continuously monitors the number of vehicles waiting at the intersection, the AI algorithm processes this visual information to determine the current traffic flow status, and the system adjusts the green light duration accordingly. This closed-loop feedback enables the system to respond dynamically to changing traffic conditions, ensuring sufficient green light time during high traffic flow while maintaining efficient throughput

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The traffic light control system transitions from static fixed timing to dynamic adaptive timing. The camera captures real-time images of waiting vehicles, the AI algorithm dynamically calculates the optimal green light duration based on current traffic conditions, and the system adjusts the green light time continuously to match varying traffic flow demands, thereby maximizing traffic flow throughput while preventing congestion

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS11776259B2Control system of traffic lights and method thereof

Publication Date: 2023.10.03 PIXORD CORP

AI summary

A control method for traffic lights includes: acquiring an image at a preset time point before a red light is turned off, wherein the image includes at least one vehicle waiting for the red light; determining a time length according to the image, wherein the time length is generated by an artificial intelligence algorithm; and controlling a green light according to the time length.