Traffic Light Time-Segmented Control Using Curve Fitting
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Solution Overview
Problem
The existing method for time-segmented control of traffic lights is inaccurate due to subjective human intervention, leading to inefficient manpower usage and poor division results.
Innovation Solution
A time-segmented signal timing method that uses curve fitting to simulate traffic volume data, determining target points with zero second derivatives, and performing signal timing based on these points, eliminating the need for human participation and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual time division is performed based on traffic volume data, then the control process can be implemented, but the division results are affected by subjective feelings leading to inaccurate time-segmented control
Solution Approach 1:
The patent replaces the manual mechanical process of time division with an automated computational system. The controller automatically performs curve fitting on traffic volume data, calculates inflection points using mathematical algorithms (second derivative method), and generates time segments without human intervention, thereby eliminating subjective bias and improving measurement precision.
Solution Approach 2:
The system enables self-service by allowing the traffic control system to automatically divide time segments based on its own data processing capabilities. The controller uses the inflection point calculation method to autonomously determine optimal time division points from traffic volume data, making the system self-sufficient and removing dependency on manual human analysis.
2Reliability
If manual time division is performed by human operators, then flexibility in adjusting control parameters is maintained, but labor costs increase and subjective interference reduces accuracy
Solution Approach 1:
The patent transforms the control approach by changing from manual parameter estimation to automated mathematical parameter calculation. By using curve fitting and second derivative calculations, the system objectively determines inflection points that define time segments, replacing subjective human judgment with precise mathematical parameters that improve reliability.
Solution Approach 2:
The patent introduces mathematical algorithms as intermediaries between raw traffic volume data and time segment decisions. The curve fitting function and second derivative calculation serve as intermediary processing steps that objectively translate traffic data into accurate time division points, eliminating the need for direct human subjective assessment.
3Productivity
If automated curve fitting and inflection point calculation are used, then human labor is reduced and accuracy improves, but the computational complexity and processing requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-processing traffic volume data through curve fitting before performing the actual time division. The system fits curves to historical traffic data in advance, storing the mathematical models that can be quickly evaluated to find inflection points, thereby reducing real-time computational complexity while maintaining high productivity.
Data Source
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AI summary
The present disclosure discloses a time-segmented signal timing method and an apparatus for a traffic light, an electronic device and a storage medium, which relates to the field of intelligent transportation. The specific implementation is: obtaining traffic volume data of a target intersection in each period of time of N consecutive days, N being an integer greater than 1; performing curve fitting on the traffic volume data to determine a traffic volume curve corresponding to the target intersection of each day; determining calculating respective target points in the traffic volume curve with second derivatives satisfying a preset condition; and performing time-segmented signal timing on a traffic light at the target intersection based on time points corresponding to the respective target points. With the solution of the present disclosure, the accuracy and reliability of time-segmented control of the traffic light may be improved, and thus the technical problem of poor accuracy of the time-segmented control of the traffic light in the prior art may be solved.