scholarly journals Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Wenshuo Wang ◽  
Junqiang Xi ◽  
Huiyan Chen
Keyword(s):  
Driver Behavior ◽  
Control Point ◽  
Point Of View ◽  
Driver Model ◽  
Transport Systems ◽  
Steering Wheel ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Wide Range ◽  
Vehicle Systems

In recent years, modeling and recognizing driver behavior have become crucial to understanding intelligence transport systems, human-vehicle systems, and intelligent vehicle systems. A wide range of both mathematical identification methods and modeling methods of driver behavior are presented from the control point of view in this paper based on the driving data, such as the brake/throttle pedal position and the steering wheel angle, among others. Subsequently, the driver’s characteristics derived from the driver model are embedded into the advanced driver assistance systems, and the evaluation and verification of vehicle systems based on the driver model are described.

scholarly journals STRUCTURE AND HIERARCHIES OF INFOCOMMUNICATION SYSTEMS IN DRIVER ASSISTANCE SYSTEMS AS DESIGN TEMPLATES FOR SUBSYSTEMS OF UNMANNED VEHICLE

2021 ◽  
Vol 23 (4) ◽  
pp. 86-95
Author(s):  
D. Chickrin ◽  
Keyword(s):  
Complex System ◽  
Point Of View ◽  
Transport Systems ◽  
Control Loop ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Unmanned Vehicle ◽  
Multilevel Systems ◽  
Assistance Systems

The article presents the structure of infocommunication systems of unmanned transport systems developed by the author, which combines the main information subsystems of the control loop in Advanced driver-assistance systems (ADAS) and shows their interaction. The analysis of the architecture of the ADAS system as a complex system from the point of view of the application of Mesarovich's theory of hierarchical multilevel systems is given (also known as stratification process) - as a result of which ADAS infocommunication systems are presented in the form of a hierarchy of the strata-layers-echelons type. Such a representation has scientific novelty as the application of stratification methods to the description of ADAS infocommunication systems and practical value in the design of the ADAS architecture and the creation of templates for the design of unmanned transport systems infocommunication subsystems.

scholarly journals INFLUENCE OF HMI ERGONOMY ON DRIVERS IN COOPERATIVE SYSTEMS AREA

2017 ◽  
Vol 12 ◽  
pp. 42 ◽  
Author(s):  
Tomáš Jizba
Keyword(s):  
Cooperative Systems ◽  
Point Of View ◽  
Processing Capacity ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Field Of Vision ◽  
Wide Range ◽  
Stage System ◽  
Machine Interface ◽  
Assistance Systems

Modern vehicles are getting smarter and utilize more and more the advantages of Advanced Driver Assistance Systems (ADAS). Deployment of upcoming technologies, such as cooperative systems (V2X), will most likely be the key step towards a significant reduction of accidents across the globe. Some of these systems extend driver’s field of vision, so the driver can be forewarned against a wide range of threats. Unlike technology, the human processing capacity has remained almost unchanged over centuries. Therefore, it is necessary to bear in mind that drivers have restricted capabilities to process multiple warnings. In this context, an important question arises: How can be V2X warnings integrated into the Human Machine Interface (HMI) of vehicles, and what warning policy is needed to ensure high usability, acceptance, efficiency and understanding of such a warning interface from the driver’s point of view. Using a human centered design approach, two concepts of visual driver-vehicle interface for V2X warnings were developed and evaluated. One of those interfaces was based on a 1-stage warning policy and the second one utilized a dynamic 3-stage warning approach. The research revealed that drivers prefer to have dynamic warnings that correspond with the level of danger to which they are exposed, rather than only one warning displayed in a situation of imminent danger. However, with regards to overall usability score and workload measurements, results showed that the 3-stage system performed worse in comparison with the 1-stage system.

scholarly journals Using Naturalistic Vehicle-Based Data to Predict Distraction and Environmental Demand

2019 ◽  
Vol 11 (3) ◽  
pp. 59-70
Author(s):  
Dina Kanaan ◽  
Suzan Ayas ◽  
Birsen Donmez ◽  
Martina Risteska ◽  
Joyita Chakraborty
Keyword(s):  
Motor Control ◽  
Secondary Task ◽  
Markov Models ◽  
Task Engagement ◽  
Steering Wheel ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Environmental Demand ◽  
Driving Task ◽  
Behavior Models

This research utilized vehicle-based measures from a naturalistic driving dataset to detect distraction as indicated by long off-path glances (≥ 2 s) and whether the driver was engaged in a secondary (non-driving) task or not, as well as to estimate motor control difficulty associated with the driving environment (i.e. curvature and poor surface conditions). Advanced driver assistance systems can exploit such driver behavior models to better support the driver and improve safety. Given the temporal nature of vehicle-based measures, Hidden Markov Models (HMMs) were utilized; GPS speed and steering wheel position were used to classify the existence of off-path glances (yes vs. no) and secondary task engagement (yes vs. no); lateral (x-axis) and longitudinal (y-axis) acceleration were used to classify motor control difficulty (lower vs. higher). Best classification accuracies were achieved for identifying cases of long off-path glances and secondary task engagement with both accuracies of 77%.

Learning to Use In-Vehicle Technologies: Consumer Preferences and Effects on Understanding

2018 ◽  
Vol 62 (1) ◽  
pp. 1589-1593 ◽  
Author(s):  
Hillary Abraham ◽  
Bryan Reimer ◽  
Bruce Mehler
Keyword(s):  
Online Survey ◽  
Consumer Preferences ◽  
Learning Preferences ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Use Of Technology ◽  
Vehicle Systems ◽  
Potential Benefits ◽  
Vehicle Technologies ◽  
Methods Of Learning

Advanced Driver Assistance Systems (ADAS) have the potential to increase driver safety. However, driver misuse or failure to use ADAS could mitigate potential benefits. Appropriate training is one established method for encouraging proper use of technology. An online survey of 2364 respondents revealed significant differences between utilized and preferred methods for learning to use technologies. Drivers who learned through their preferred methods reported higher understanding and use of in-vehicle systems. Providing readily available methods of learning that align with learning preferences may improve safe use of ADAS.

scholarly journals Study on the Driver/Steering Wheel Interaction in Emergency Situations

2020 ◽  
Vol 10 (20) ◽  
pp. 7055
Author(s):  
Francesco Comolli ◽  
Massimiliano Gobbi ◽  
Gianpiero Mastinu
Keyword(s):  
Muscular Activity ◽  
Steering Wheel ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Emergency Situations ◽  
Relevant Effect ◽  
Hands On ◽  
Lateral Disturbance ◽  
The Moment ◽  
Three Components

Advanced driver assistance systems (ADAS) are becoming increasingly prevalent. The tuning of these systems would benefit from a deep knowledge of human behaviour, especially during emergency manoeuvres; however, this does not appear to commonly be the case. We introduced an instrumented steering wheel (ISW) to measure three components of force and three components of the moment applied by each hand, separately. Using the ISW, we studied the kick plate manoeuvre. The kick plate manoeuvre is an emergency manoeuvre to recover a lateral disturbance inducing a spin. The drivers performed the manoeuvre either keeping two hands on the steering wheel or one hand only. In both cases, a few instants after the lateral disturbance induced by the kick plate occurred, a torque peak was applied at the ISW. Such a torque appeared to be unintentional. The voluntary torque on the ISW occurred after the unintentional torque. The emergency manoeuvre performed with only one hand was quicker, since, if two hands were used, an initial fighting of the two hands against each other was present. Therefore, we propose to model the neuro-muscular activity in driver models to consider the involuntary muscular phenomena, which has a relevant effect on the vehicle dynamic response.

Instrumented Steering Wheel: Accurate Experimental Characterisation of the Forces Exerted by the Driver Hands for Future Advanced Driver Assistance Systems

2018 ◽  
Author(s):  
Francesco Comolli ◽  
Federico M. Ballo ◽  
Massimiliano Gobbi ◽  
Gianpiero Mastinu
Keyword(s):  
Steering Wheel ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Plate Test ◽  
Driving Behaviors ◽  
Load Cells ◽  
Assistance Systems ◽  
Lateral Disturbance ◽  
Experimental Characterisation

The interaction between driver and vehicle is analyzed in the paper. The driver acts on the steering wheel to modify the trajectory and to control the vehicle during panic situations. The knowledge of the forces exerted by the driver at the steering wheel is useful for a better understanding of the driver steering action. The final aim is to inspire the development of haptic steering wheels for better tuning of Advanced Driver Assistance Systems (ADAS). An instrumented steering wheel has been used, which includes two six axis load cells to measure the forces and the moments exerted by the driver hands and six sensors used to measure the grip strength. Two maneuvers have been considered, a moderate speed turn and a kick plate test which simulates a panic situation with an impulsive lateral disturbance. For both of the two considered situations, some common driving behaviors have been highlighted and analyzed. The preliminary results encourage the development of haptic instrumented steering wheels, able to improve ADAS. Actually it seems possible to infer the driver steering purpose before the steering wheel is actually rotated.

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