Traffic Signal Residual Time Estimation Using Vehicle Queue Data
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Solution Overview
Problem
Conventional systems fail to accurately estimate the real-time residual time of a traffic signal phase, which is crucial for effective vehicle motion planning and intersection navigation.
Innovation Solution
A system and method for estimating the residual time of a traffic signal by combining signal plans with vehicle sensor data and vehicle queue information, using initial, intermediate, and final residual time calculations based on signal phases and vehicle sensor inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems use basic signal phase detection, then the system complexity is low, but the measurement precision of residual time is insufficient
Solution Approach 1:
The residual time estimation is divided into multiple components: initial residual time from signal plan, correction term from vehicle queue information, and real-time updates from sensor data. This segmentation allows each component to be calculated independently and combined for improved accuracy without requiring complete system redesign.
Solution Approach 2:
The patent combines multiple information sources (signal plan, vehicle queue data, sensor measurements) into a unified residual time estimation framework. By merging these diverse data streams, the system achieves higher measurement precision while managing complexity through integrated processing.
2Measurement precision
If the system collects comprehensive vehicle queue information, then the measurement precision of residual time improves, but the loss of time for data collection increases
Solution Approach 1:
The system performs preliminary estimation of residual time using available signal plan information before complete vehicle queue data is collected. This allows the motion planning system to begin preparation while continuing to refine the estimate as additional data becomes available, reducing overall time loss.
Solution Approach 2:
The system continuously updates the residual time estimation as new sensor data and queue information become available, using feedback loops to refine the estimate in real-time. This allows accurate estimation without requiring all data to be collected beforehand, minimizing time loss while maintaining precision.
3Reliability
If the system uses multiple estimation methods (initial, intermediate, final), then the reliability of residual time estimation improves, but the device complexity increases
Solution Approach 1:
The system employs dynamic estimation where the complexity of the estimation method adapts to the available information and time constraints. Different estimation approaches (initial, intermediate, final) are applied at different stages, allowing the system to maintain reliability while managing complexity through dynamic method selection rather than always using the most complex approach.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable mediums for estimating a residual time of a current traffic signal are provided. The methods include estimating an initial residual time of a current traffic signal until a change of the current traffic signal based on a signal plan and information received from vehicle sensors, collecting information about a vehicle queue, estimating a residual time of the current traffic signal until the change of the current traffic signal based on the information about the vehicle queue, and estimating a final residual time of the current traffic signal until the change of the current traffic signal based on the initial residual time and the estimated residual time of the current traffic signal.