Study on the driving style adaptive vehicle longitudinal control strategy
Jing Huang, Yimin Chen, Xiaoyan Peng, Lin Hu, Dongpu Cao
Abstract
This paper presents a fusion control strategy of adaptive cruise control (ACC) and collision avoidance (CA), which takes into account a driver's behavioral style. First, a questionnaire survey was performed to identify driver type, and the corresponding driving behavioral data were collected via driving simulator experiments, which served as the template data for the online identification of driver type. Then, the driver-adaptive ACC/CA fusion control strategy was designed, and its effect was verified by virtual experiments. The results indicate that the proposed control strategy could achieve the fusion control of ACC and CA successfully and improve driver adaptability and comfort.
Topics & Concepts
Cruise controlAdaptabilityCollision avoidanceDriving simulatorControl (management)Sensor fusionComputer scienceAdaptive controlFusionSimulationEngineeringCollisionArtificial intelligenceComputer securityPhilosophyEcologyLinguisticsBiologyTraffic control and managementTraffic and Road SafetyAutonomous Vehicle Technology and Safety