Equivalent-Force Driving Risk Assessment for Complex Traffic
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Solution Overview
Problem
Existing driving risk assessment technologies fail to provide real-time, quantitative evaluations of driving risks, particularly in complex traffic environments, and do not adequately consider the dynamic interactions between vehicles, pedestrians, and the road environment, limiting their effectiveness in adapting to diverse road users and scenarios.
Innovation Solution
A real-time driving risk assessment method based on equivalent force distribution, which collects traffic environment and object information, calculates kinetic energy and equivalent forces between vehicles and other road users, and evaluates feasible trajectories using a road risk assessment model to determine optimal driving paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional vehicle dynamics and kinematics models are used for risk assessment, then the system complexity is low, but the assessment cannot adapt to complex traffic environments and multiple road users
Solution Approach 1:
The patent segments the continuous force field into discrete equivalent force vectors directed at different road users (pedestrians, cyclists, vehicles). Each force vector represents the potential impact on a specific object, allowing the system to handle multiple road users independently while maintaining computational efficiency through modular processing of individual force calculations.
Solution Approach 2:
The patent introduces an intermediary force field model that mediates between the vehicle's motion state and the potential impacts on road users. This force field acts as a conceptual bridge, translating vehicle dynamics into intuitive force representations that quantify risk without requiring complex multi-body dynamics simulations of all road users.
2Reliability
If macro statistics methods are used for road risk assessment, then the evaluation framework is simple, but the results are static and cannot provide real-time safety status
Solution Approach 1:
The patent transforms static macro statistics into dynamic real-time assessment by continuously updating equivalent force vectors based on current vehicle state (position, velocity, acceleration) and real-time detection of road users. The force field dynamically adapts as the vehicle moves and as new road users enter the assessment area, providing continuous real-time safety status through live force calculations.
Solution Approach 2:
The patent changes the assessment parameters from static macro statistics (accident rates, historical data) to dynamic physical parameters (equivalent force magnitude, direction, and distribution). By using force magnitude as the risk metric instead of statistical probabilities, the system achieves real-time updates based on current vehicle-road user interactions without relying on historical accident databases.
3Measurement precision
If existing evaluation indices are used, then the implementation is simple, but they cannot effectively reflect the force situation between vehicles and road users
Solution Approach 1:
The patent replaces traditional kinematic evaluation indices (relative distance, relative speed) with dynamic force-based metrics. Instead of measuring only positional and velocity relationships, the system calculates equivalent force vectors that directly represent the mechanical impact potential on road users, providing more precise measurement of actual risk through force magnitude and direction.
Solution Approach 2:
The patent visualizes different force situations using color-coded representations where color intensity and hue indicate force magnitude and direction. This visual encoding transforms complex force vector data into intuitive color displays that immediately convey risk levels to drivers, making sophisticated force measurements as easy to interpret as simple visual signals.
Data Source
AI summary
A real-time assessment method of driving risk based on equivalent force includes: S1, collecting traffic environment information and various types of traffic environment use object information in a road environment in an area to be assessed; S2, inputting, into an electronic control unit of a vehicle, the traffic environment use object information and the environment information acquired in S1, wherein a road risk assessment model based on the equivalent force distribution is preset in the electronic control unit; S3, using the road risk assessment model, so as to acquire road traffic risk E of the vehicle i and equivalent force distribution Fij between the vehicle i and the object j in different traffic environments, wherein the object j represents any traffic element other than vehicle i in various traffic environment use object information. A real-time assessment device of driving risk based on equivalent force is further provided.