Driving style recognition method using braking characteristics based on hidden Markov model. [PDF]
Since the advantage of hidden Markov model in dealing with time series data and for the sake of identifying driving style, three driving style (aggressive, moderate and mild) are modeled reasonably through hidden Markov model based on driver braking ...
Chao Deng +3 more
doaj +2 more sources
A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms [PDF]
In this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style ...
Gys Albertus Marthinus Meiring +1 more
doaj +2 more sources
Identification of dynamic driving styles based on behavioral primitives [PDF]
Driving style reflects drivers’ vehicle manipulation and driving habits, it is essential for understanding and analyzing drivers’ dynamic behavior and decision-making process.
Xuelian Zheng +4 more
doaj +2 more sources
Personalized Steering Feel Control Based on Driving Style Recognition and Closed-Loop Motion Regulation [PDF]
Against the backdrop of the continuous expansion of the automotive industry, consumer demand is undergoing a profound shift from quantity to quality. Conventional steering systems, due to their lack of dynamic adaptation to driver styles, struggle to ...
Hsin Guan +8 more
doaj +2 more sources
Gender differences in factors affecting driving proficiency and traffic risk: the role of personality traits and driving styles in Korean drivers [PDF]
Background Personality traits and habitual driving styles shape driving proficiency and crash risk, yet gender-specific patterns in Korean drivers remain underexplored.
Joong Hee Lee, Wonjoon Kim
doaj +2 more sources
Prognostic Analysis of Driving Style: The Significance of Demographic and Cognitive Factors
This study aimed to compare four driving styles among professional and non-professional Lithuanian drivers and to assess the significance of demographic and cognitive factors in predicting investigated driving styles.
Justina Slavinskienė +1 more
doaj +3 more sources
Using naturalistic driving data to identify driving style based on longitudinal driving operation conditions [PDF]
Purpose – An individual’s driving style significantly affects overall traffic safety. However, driving style is difficult to identify due to temporal and spatial differences and scene heterogeneity of driving behavior data.
Nengchao Lyu +4 more
doaj +1 more source
A safety score for the assessment of driving style
Road traffic laws explicitly refer to a safe and cautious driving style as a means of ensuring safety. For automated vehicles to adhere to these laws, objective measurements of safe and cautious behavior in normal driving conditions are required. This paper describes the conception, implementation and initial testing of an objective scoring system that
Hans-Peter, Schöner +7 more
openaire +2 more sources
Implementation of Driving Cycles Based on Driving Style Characteristics of Autonomous Vehicles
The standardized driving cycles, which are used around the globe for the development and homologation of automobiles, consist of a series of speed points versus time, to represent typical driving conditions and to exclude the influence of a human driver.
Xucheng Duan +2 more
doaj +1 more source
Privacy preserving driving style recognition [PDF]
International Conference on Connected Vehicles and Expo ...
Nicholas Rizzo +3 more
openaire +2 more sources

