Driving behavior data acquisition method based on high fidelity driving simulator

Abstract

The invention relates to a driving behavior data acquisition method based on a high fidelity driving simulator used for acquiring the driving behavior data under an unconventional emergency situation. The method comprises the following steps: step 1) of respectively constructing virtual scenes in a high fidelity driving simulator according to different unconventional emergency situations; step 2) of performing driving simulation in the high fidelity driving simulator according to the constructed virtual scenes; step 3) of acquiring the measurement data corresponding to different measuring bodies synchronously and continuously during driving simulation through the high fidelity driving simulator, and keeping time and space between the measurement data of different measuring bodies consistent. Compared with the prior art, the driving behavior data acquisition method based on the high fidelity driving simulator provided by the invention has the advantages of being suitable for the simulation of the emergency situations, diversified and adjustable in the simulated scenes, capable of acquiring diverse data types and guaranteeing time and space of different measuring bodies to be consistent and the like.

Description

technical field [0001] The invention relates to the field of driving simulation, in particular to a method for acquiring driving behavior data based on a high-fidelity driving simulator. Background technique [0002] Existing Data Collection Methods for Driving Behavior Research [0003] From the perspective of research, driving behavior can be divided into macroscopic, microscopic and mesoscopic driving behaviors. The macro driving behavior mainly describes and characterizes the driving behavior when the traffic flow in the road network is in the car-following state from the perspective of the traffic flow, and the research object is the entire traffic flow. Microscopic driving behavior focuses on describing the driving behavior of a single vehicle in the traffic flow, and the research object is a single vehicle. Mesoscopic driving behavior is a compromise between microscopic and macroscopic driving behavior. [0004] At present, the collection of driving behavior data m...

AI Technical Summary

Problems solved by technology

Its disadvantages are: 1. A large amount of related data measurement equipment is required, and the actual operation is difficult

2. It is difficult to guarantee the accuracy and synchronization of data measurement equipment, and it is difficult to analyze data in the later stage

3. The controllability of the experimental scene is poor, and the experimental scene design cannot be carried out according to the experimental requirements

Its disadvantages are: 1. Poor data integrity and accuracy caused by detection equipment accuracy and transmission technology

2. The type of data that can be collected is determined by the testing equipment, and the type of data collection cannot be designed according to the needs

3. Only the driving behavior of traffic flow can be collected, and the driving behavior data of individual vehicles cannot be collected

Its corresponding defect is that the scene is not the actual situation, but the most advanced eight-degree-of-freedom motion system high-fidelity driving simulator continues to improve the realism of driving, and can simulate the actual driving scene with high fidelity

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