Adaptive Green Wave Speed Calculation for Traffic Scenarios
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Solution Overview
Problem
Current green wave speed determination methods are inaccurate due to the failure to consider varying stop positions and waiting times across different traffic scenarios, leading to insufficient calculation accuracy and increased red light waiting times for vehicles.
Innovation Solution
A method that determines green wave speed by acquiring the stop position and waiting time of a vehicle at an intersection, taking into account different traffic condition types, such as clear and congestion scenarios, to calculate a speed adapted to specific application scenarios, using an electronic device with a processor and memory to execute the green wave speed determination method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If green wave speed is calculated using fixed parameters, then the calculation process is simple, but the accuracy is insufficient
Solution Approach 1:
The patent applies dynamics by making the green wave speed calculation adaptive to different traffic conditions. The system dynamically adjusts the calculation parameters based on whether the traffic condition is congested or clear, using different stop position formulas and waiting time calculations for each scenario. This dynamic adaptation resolves the contradiction by improving accuracy through scenario-specific calculations without requiring an overly complex unified model.
Solution Approach 2:
The patent changes parameters based on traffic condition types. For congested traffic, it uses a different stop position calculation (based on queue length) and waiting time formula compared to clear traffic (based on signal timing). This parameter change approach allows the system to maintain high accuracy across different scenarios while keeping each individual calculation method relatively simple.
2Adaptability or versatility
If green wave speed is calculated without considering traffic condition types, then the calculation process is simple, but the adaptability to actual traffic scenarios is poor
Solution Approach 1:
The patent applies local quality by tailoring the green wave speed calculation to specific local traffic conditions. Instead of using a universal formula, it identifies whether the current traffic condition is congested or clear and applies the appropriate localized calculation method. This ensures high adaptability to actual traffic scenarios while keeping each localized calculation method simple and straightforward.
Solution Approach 2:
The system dynamically adapts its calculation approach based on real-time traffic condition detection. By continuously monitoring traffic state and switching between different calculation models (congested vs. clear traffic), it achieves high adaptability without requiring a single complex universal model, thus resolving the contradiction between adaptability and complexity.
3Loss of time
If inaccurate green wave speed is used, then the system is simple to implement, but the vehicle waiting time at red lights increases
Solution Approach 1:
The patent incorporates feedback mechanisms by using real-time detection of stop position and waiting time to recalculate and adjust the green wave speed. The system continuously monitors actual traffic conditions and uses this feedback to improve the accuracy of speed calculations, thereby reducing vehicle waiting times at red lights while maintaining system simplicity through iterative refinement rather than complex upfront modeling.
Data Source
AI summary
Provided are a green wave speed determination method, an electronic device and a storage medium, which relates to the field of artificial intelligence, particularly, the field of intelligent traffic technology. The implementation scheme is as follows: a stop position of a vehicle to be detected at an intersection and waiting time of an indicator light at the intersection are acquired; and a green wave speed of the vehicle to be detected is determined according to a traffic condition type, the stop position and the waiting time.