Driving Simulation Scene Generation for Background Traffic Flow
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Solution Overview
Problem
Existing driving simulation platforms require manual input for constructing simulative test scenarios, leading to low processing efficiency for large-scale scenarios due to the need for manual addition of background vehicles.
Innovation Solution
A method and apparatus for automatically constructing a driving simulation scenario by acquiring route points in a road network model, determining departure and destination points, generating background vehicles, and controlling their movement within the simulation scenario, thereby improving processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual addition of background vehicles is used to construct simulative test scenario, then the scenario can be built with proper vehicle placement, but the processing efficiency is low for large-scale scenarios
Solution Approach 1:
The system automatically generates background vehicles and assigns them routes based on the road network model and traffic flow requirements, eliminating the need for manual vehicle placement. The automated system serves itself by computing departure points, destination points, and travel paths using algorithms that analyze the road network structure and traffic patterns
Solution Approach 2:
The manual mechanical process of adding vehicles one by one is replaced by an automated computational system that uses algorithms to generate vehicles and assign routes. The system substitutes human operators with computer-based automated generation and route assignment mechanisms that process large-scale scenarios efficiently
2Ease of manufacture
If background vehicles are generated at random positions, then the construction process is simple, but it causes sudden change in traffic status and visual abruptness
Solution Approach 1:
The system performs preliminary analysis of the road network model to identify appropriate departure points and destination points before generating background vehicles. Routes are pre-computed based on traffic flow requirements, ensuring vehicles appear at logical locations rather than random positions, thus maintaining traffic status stability
Solution Approach 2:
Different regions of the road network are treated differently based on their characteristics. Departure points are selected at locations where vehicle entry is natural, destination points are chosen where exit is appropriate, and routes are assigned based on local traffic patterns. This localized quality assignment prevents visual abruptness by ensuring vehicles appear and disappear at contextually appropriate locations
Data Source
AI summary
This disclosure provides a method, apparatus, and storage medium for processing a driving simulation scenario. The method includes: acquiring a plurality of route points in a road network model for driving simulation; determining one or more departure points and one or more destination points from the plurality of route points; generating a background vehicle at the one or more departure points; and controlling the background vehicle to travel in the road network model from the one or more departure points to a corresponding destination point of the one or more destination points, where the background vehicle is removed.