Traffic Junction Control Using Piece-Wise Sinusoidal Representation
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Solution Overview
Problem
Conventional traffic control systems are not customized for specific traffic parameters of individual intersections and fail to consider offsets between multiple intersections, leading to inefficiencies in traffic flow management, particularly in congested conditions where queue spillback and demand starvation can affect adjacent intersections.
Innovation Solution
A computer-implemented method and system that generates a piece-wise sinusoidal representation of traffic arrival at traffic junctions, determining parameters based on this representation and optimizing phase sequences between junctions using a multivariate polynomial to adjust offsets and prioritize traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional traffic control systems use fixed phase sequences at each intersection, then the system is simple to operate, but traffic flow efficiency deteriorates due to inability to adapt to real-time traffic conditions and coordination between intersections
Solution Approach 1:
The patent implements dynamic phase sequence optimization by continuously adjusting traffic light phases based on real-time traffic flow data. The system transitions from fixed, static phase sequences to dynamic, adaptive phase sequences that respond to changing traffic conditions, thereby improving traffic flow efficiency without requiring overly complex infrastructure
Solution Approach 2:
The system employs feedback mechanisms by monitoring real-time traffic flow parameters at multiple intersections and using this information to adjust phase sequences. The optimization process continuously receives feedback from traffic sensors and adjusts control parameters accordingly, creating a closed-loop control system that balances efficiency improvement with manageable complexity
2Productivity
If traffic control systems optimize each intersection independently, then the control logic is simple, but overall network performance deteriorates due to lack of coordination between adjacent intersections
Solution Approach 1:
The patent merges the control of multiple adjacent intersections into a coordinated green wave system. By combining phase sequence optimization across multiple intersections and considering offsets between them, the system achieves improved overall network performance while maintaining reasonable complexity through unified optimization algorithms
3Adaptability or versatility
If traffic control systems use standardized phase sequences for all intersections, then the system is easy to implement, but adaptability to specific traffic parameters of individual intersections deteriorates
Solution Approach 1:
The patent applies local quality by customizing phase sequences for each specific intersection based on its unique traffic parameters, geometry, and surrounding conditions. The system determines intersection-specific phase sequences and offsets rather than applying uniform standards, thereby achieving high adaptability while maintaining ease of implementation through automated optimization algorithms
Data Source
AI summary
Techniques for autonomously optimizing traffic flow amongst one or more traffic junctions are provided. In one example, a computer-implemented method can comprise generating, by a system operatively coupled to a processor, a piece-wise sinusoidal representation of traffic arrival at a first traffic junction. The computer-implemented method can also comprise determining, by the system, an offset a parameter of one or more traffic junctions based on the piece-wise sinusoidal representation and a polynomial objective