Intersection Saturation Calculation Using Passing and Queued Vehicles
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Solution Overview
Problem
Existing traffic signal control systems inaccurately calculate saturation due to limitations in sensor capabilities, as they rely solely on traffic volume, failing to provide a comprehensive assessment of actual intersection conditions.
Innovation Solution
An information processing method and device that analyze at least two sets of traffic information to determine first and second parameter information, including vehicles passing through and not passing through an intersection, to accurately calculate the degree of saturation based on these parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensor capabilities are used to calculate traffic saturation, then the calculation process is simple, but the saturation calculation accuracy is insufficient
Solution Approach 1:
The patent segments traffic information into multiple dimensions including vehicle passing status, phase completion status, and trajectory data. By dividing the saturation calculation into separate computational modules that process different types of traffic information independently, the system achieves higher measurement precision while managing complexity through modular design
Solution Approach 2:
The patent transitions from traditional two-dimensional traffic volume data to multi-dimensional traffic information by incorporating vehicle trajectory, phase completion status, and passing/non-passing classification. This dimensional expansion enables more accurate saturation calculation by considering the actual spatial-temporal behavior of vehicles at intersections
2Reliability
If only traffic volume statistics are used, then the data collection is simple, but the actual intersection situation cannot be comprehensively considered
Solution Approach 1:
The patent creates a universal traffic information processing framework that handles multiple types of data (vehicle trajectories, phase timing, passing status) through a single integrated system. This multi-functional approach ensures comprehensive consideration of actual intersection situations while maintaining systematic processing of diverse information types
Solution Approach 2:
The patent implements feedback mechanisms where vehicle trajectory and passing status information are continuously monitored and fed back into the saturation calculation system. This feedback loop enables dynamic adjustment of traffic light durations based on real-time assessment of actual intersection conditions, improving reliability of traffic situation evaluation
3Productivity
If traditional saturation calculation methods are used, then the control algorithm is simple, but the traffic light duration adjustment is suboptimal
Solution Approach 1:
The patent implements dynamic traffic light control by continuously updating saturation calculations based on real-time vehicle trajectory and passing status data. The system dynamically adjusts green light durations according to actual traffic conditions rather than using fixed or statically calculated timings, thereby optimizing traffic flow efficiency through adaptive control
Data Source
AI summary
An information processing method includes obtaining at least two sets of traffic information of a target intersection based on a predetermined cycle, analyzing the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in a current cycle, and obtaining a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information.