Predictive Ego Speed Interpolation for Traffic-Aware Route Control
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Solution Overview
Problem
Existing navigation systems struggle to determine a predictive ego speed of a vehicle along a route accurately, especially when traffic density influences the vehicle's speed, leading to inaccurate arrival time predictions and inefficient energy consumption.
Innovation Solution
A method that determines the predictive ego speed by interpolating between two average speeds: a first average speed where traffic density forces the vehicle to match the average speed, and a second average speed where traffic density has no influence, using driver-specific and location-specific parameters, and incorporating real-time traffic information and artificial intelligence for precise predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic density is used to determine predictive ego speed, then the prediction accuracy improves, but the complexity of determining when to apply traffic density increases
Solution Approach 1:
The patent changes the parameter from a binary traffic density condition to a continuous range evaluation using first and second threshold values. This allows the system to select from multiple speed determination strategies (traffic density-based, free speed-based, or interpolated) depending on where the average speed falls within the range, thereby improving accuracy without excessive complexity
Solution Approach 2:
The patent segments the speed determination process into distinct regions: a first region where traffic density coercively determines ego speed, a second region where free speed applies, and an intermediate region where interpolation occurs. This segmentation allows each region to be handled with appropriate simplicity while maintaining overall accuracy
2Measurement precision
If interpolation between first and second average speeds is used, then predictive ego speed accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies interpolation only partially - specifically in the intermediate region between the first and second average speeds. In the extreme regions (very low or very high average speeds), simpler methods are used. This partial application of interpolation reduces computational complexity while maintaining accuracy where it is most needed
3Measurement precision
If multiple average speed thresholds are used to determine ego speed, then prediction accuracy improves, but the time required for speed determination increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the first and second average speed thresholds and the corresponding regions. During real-time operation, the system only needs to compare the current average speed against these pre-defined thresholds and apply the appropriate formula, significantly reducing determination time while maintaining high accuracy
Data Source
AI summary
The present disclosure relates to a method for determining a predictive ego speed of a vehicle traveling along a predetermined route for at least one location or at least one section of the route, by at least determining an average speed currently traveled by road users at the location or the section, determining a first average speed assumed to be the ego speed of the vehicle at this location or this section corresponding to the average speed of traffic density, determining a second average speed assumed to be the traffic density at this location or this section not influencing the ego speed of the vehicle, if the average speed is between the first average speed and the second average speed, determining the predictive ego speed on the basis of the average speed and by means of an interpolation between the first average speed and the second average speed.