A car following model generating method based on driving types and preceding vehicle acceleration speed information

Abstract

The invention provides a car following model generating method based on driving types and preceding vehicle acceleration speed information. By using a cluster data mining method, driving types of drivers are divided according to actual data; individual expectancy effect is imported on the basis of a full velocity different model; further the influence of preceding vehicle acceleration speed information on car following behavior is taken into consideration; thus a car following model is obtained. Compared with the conventional car following model, the car following model greatly improves the traffic flow stability and better accords with actual traffic flow status.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, in particular to a vehicle decision-making model suitable for traffic simulation, and further to a car-following model generation method based on driving type and acceleration information of a preceding vehicle. Background technique [0002] The rise of intelligent transportation system (ITS, Intelligent Transportation System), driver information guidance system, vehicle automatic intelligent cruise control system (Autonomous Intelligent Cruise Control System) and driverless cars has further promoted the eager attention of scholars from various countries to car-following behavior. Car-following theory is a theory that uses dynamic methods to study the response of the rear vehicle caused by the speed change of the front vehicle in the driving team and the state of the rear vehicle following the team on a single lane that restricts overtaking, and uses a mathematical model to analyze and cl...

AI Technical Summary

Problems solved by technology

[0012] However, this simple human-subjective classification of driving types does not start from actual traffic trajectory data and lacks factual basis, so it cannot accurately describe the driving characteristics in actual traffic flow

[0013] In addition, the existing car-following model based on the full speed difference model does not consider the influence of the acceleration information of the leading vehicle on the car-following model. In actual traffic flow, the driver of the following vehicle often follows the acceleration and deceleration behavior of the leading vehicle Adjust the driving state of the own vehicle

[0014] The commonly used car-following model does not consider the driving characteristics of different drivers in the actual traffic flow, and the improved car-following model based on FVDM does not consider the influence of the acceleration information of the preceding vehicle on the car-following model.

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