Curve colored pavement design method based on excellent driver driving trajectories

Abstract

The invention provides a curve colored pavement design method based on excellent driver driving trajectories. The method determines the shape of a curved colored pavement according to the driving trajectory law of excellent drivers at the curve. The method includes: selecting excellent drivers as the experiment objects; designing and implementing a driver curve experiment to collect the driving trajectory data of the excellent drivers at the curve to obtain experiment data; analyzing the experiment data to obtain the driving trajectory law, namely curve man-simulation trajectory reference lines, of the excellent drivers at the curve; designing the shape of the curve colored pavement according to the driving trajectory law of the excellent drivers at the curve. The method has the advantagesthat the driving trajectory features of the excellent drivers at the curve are applied to unmanned vehicles in the form of colored pavement, construction convenience is achieved while a complex routeplanning process is avoided, and man-simulated-trajectory driving of the unmanned vehicles at the curve can be achieved by directly following the boundary line of the colored antiskid pavement.

Description

technical field [0001] The invention belongs to the field of highway design, and specifically designs a method for designing curved road color road surfaces based on the driving trajectory of an excellent driver. Background technique [0002] With the development of sensor technology and computer technology, the research of unmanned vehicles has attracted more and more attention from all walks of life. In order to improve the safety and ride comfort of unmanned vehicles, the research on the driving habits and driving characteristics of human drivers has gradually become a research hotspot. Excellent drivers have the characteristics of rich driving experience, so the driving trajectory of excellent drivers has the characteristics of human-like trajectory planning in the path planning of unmanned vehicles, which makes unmanned vehicles have good human-like characteristics in subsequent path tracking . [0003] In terms of path tracking of existing driverless cars, China has ...

AI Technical Summary

Problems solved by technology

At present, most path-following control methods for unmanned vehicles ignore the driving characteristics of the driver, and do not fully consider the ride comfort of passengers while ensuring driving safety.

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