scholarly journals Effect of Fixed and sEMG-Based Adaptive Shared Steering Control on Distracted Driver Behavior

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7691
Author(s):  
Zheng Wang ◽  
Satoshi Suga ◽  
Edric John Cruz Nacpil ◽  
Bo Yang ◽  
Kimihiko Nakano
Keyword(s):  
Driving Simulator ◽  
Driver Behavior ◽  
Steering Wheel ◽  
Lane Change ◽  
Haptic Guidance ◽  
Steering Control ◽  
Experimental Conditions ◽  
Lane Departure ◽  
Driver Workload ◽  
Double Lane Change

Driver distraction is a well-known cause for traffic collisions worldwide. Studies have indicated that shared steering control, which actively provides haptic guidance torque on the steering wheel, effectively improves the performance of distracted drivers. Recently, adaptive shared steering control based on the forearm muscle activity of the driver has been developed, although its effect on distracted driver behavior remains unclear. To this end, a high-fidelity driving simulator experiment was conducted involving 18 participants performing double lane change tasks. The experimental conditions comprised two driver states: attentive and distracted. Under each condition, evaluations were performed on three types of haptic guidance: none (manual), fixed authority, and adaptive authority based on feedback from the forearm surface electromyography of the driver. Evaluation results indicated that, for both attentive and distracted drivers, haptic guidance with adaptive authority yielded lower driver workload and reduced lane departure risk than manual driving and fixed authority. Moreover, there was a tendency for distracted drivers to reduce grip strength on the steering wheel to follow the haptic guidance with fixed authority, resulting in a relatively shorter double lane change duration.

Driving simulator parameterization using double-lane change steering metrics as recorded on five modern cars

2012 ◽  
Vol 26 ◽  
pp. 96-112 ◽  
Author(s):  
Diomidis Katzourakis ◽  
Joost C.F. de Winter ◽  
Stefan de Groot ◽  
Riender Happee
Keyword(s):  
Driving Simulator ◽  
Lane Change ◽  
Double Lane Change

The Active Front Steering Control Strategy Based on Driver Behavior

2013 ◽  
Vol 373-375 ◽  
pp. 1277-1282
Author(s):  
Jian Zhao ◽  
Yun Fu Su ◽  
Bing Zhu ◽  
Peng Fei Wang
Keyword(s):  
Driver Behavior ◽  
Driver Model ◽  
Steering Wheel ◽  
Steering Control ◽  
Active Steering ◽  
Active Front Steering ◽  
Reference Vehicle ◽  
The Stability ◽  
Prediction Control ◽  
Two Degree Of Freedom

Active Front Steering (AFS) is an important application to improve the stability of the vehicle, and the driver characteristic is also an important factor for the vehicle stability. In this article, a driver-behavior-based prediction control algorithm for AFS is proposed. According to the informed road trajectory, the ideal preview driver model is introduced to predict the future steering wheel angle. Based on this, a two-degree-of-freedom (2DOF) reference vehicle model and a PID controller are used to generate active steering control. The algorithm is verified by Carsim and Matlab/Simulink co-simulation, and the results show that trajectory tracking of the vehicle can be guarantee and driver manipulation duty can be reduced.

scholarly journals APPLICATION OF COMPUTER PROGRAM CARSIM FOR MODELLING SINGLE AND DOUBLE LANE CHANGE MANOEUVRES / TAIKOMOSIOS PROGRAMOS „CARSIM“ PRITAIKYMAS, MODELIUOJANT VIENGUBĄ IR DVIGUBĄ JUDĖJIMO JUOSTOS PAKEITIMO MANEVRĄ

2012 ◽  
Vol 4 (4) ◽  
pp. 397-402
Author(s):  
Artūras Žukas
Keyword(s):  
Computer Program ◽  
Lateral Acceleration ◽  
Steering Wheel ◽  
Lane Change ◽  
Lateral Forces ◽  
Computer Aided ◽  
Double Lane Change ◽  
Dynamical Properties ◽  
The Given

The paper analyzes the possibilities of using computer aided modelling programs for developing new cars to achieve better dynamical properties of control over vehicles. The article shortly reviews the behaviour of young and experienced drivers and models describing it. The paper covers the process of turning car steering wheel, considers acceptable values of lateral acceleration comfortable for a car driver and all car passengers and presents computer aided modelling program CarSim used for displaying single and double lane change manoeuvres at various speeds on dry asphalt. The given charts, including data about steering wheel angle and lateral acceleration values indicate single and double lane change manoeuvres performed by a car. Also, the values of longitudinal and lateral forces of each wheel during the double lane change manoeuvre are provided. Santrauka Straipsnyje nagrinėjamos kompiuterinių modeliavimo programų pritaikymo galimybės automobilių konstrukcijoms tobulinti, dinaminėms savybėms gerinti. Trumpai minimi vairuotojo elgseną aprašantys mokslininkų jau sukurti modeliai. Aptariamas vairo rato pasukimo procesas, pateikiamos priimtinos vairuotojui ir automobilio keleiviams nesudarančios diskomforto skersinio pagreičio reikšmės. Atliekama trumpa taikomosios kompiuterinio modeliavimo programos „CarSim“ apžvalga. Šia programa atlikti viengubo ir dvigubo judėjimo juostos pakeitimo manevrai, esant skirtingiems automobilio judėjimo greičiams ant sauso asfalto. Pateikti vairo rato pasukimo, skersinių pagreičių reikšmių grafikai. Taip pat pateiktos visus ratus veikiančių išilginių ir skersinių jėgų bei ratų slydimo reikšmės esant 90 km/h greičiui.

Effects of stimulant and opiate drugs on driver behavior during lane change in a driving simulator

2016 ◽  
Vol 4 ◽  
pp. 69-78 ◽  
Author(s):  
D. Sadeghi Tehran ◽  
A. Nahvi ◽  
M. Hajirasouli ◽  
H. Naseri ◽  
Kh. Lotfi ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Driver Behavior ◽  
Lane Change ◽  
Opiate Drugs

Verification of 14DOF Full Vehicle Model Based on Steering Wheel Input

2012 ◽  
Vol 165 ◽  
pp. 109-113 ◽  
Author(s):  
Z.A. Kadir ◽  
K. Hudha ◽  
F. Ahmad ◽  
Mohamad Faizal Abdullah ◽  
A.R. Norwazan ◽  
...  
Keyword(s):  
Vehicle Dynamics ◽  
Model Verification ◽  
Steering Wheel ◽  
Lane Change ◽  
Vehicle Model ◽  
Acceptable Error ◽  
Full Vehicle ◽  
Model Based ◽  
Double Lane Change ◽  
Lane Change Test

This paper presents a 14DOF full vehicle model which consists of ride, handling and tire subsystems to study vehicle dynamics behavior. The full vehicle model is then verified with well-known vehicle dynamics software namely CarSimEd based on the driver input from the steering wheel. Three types of vehicle dynamics test are performed for the purpose of model verification namely step steer test, double lane change test and slalom test. The results of model verification show that the behaviors of the model closely follow the behaviors obtained from CarSimEd software with acceptable error.

scholarly journals Lane Departure Warning Estimation Using Yaw Acceleration

2020 ◽  
Vol 11 (1) ◽  
pp. 102-111
Author(s):  
Em Poh Ping ◽  
J. Hossen ◽  
Wong Eng Kiong
Keyword(s):  
Vehicle Dynamics ◽  
Dynamic Responses ◽  
Dynamics Simulation ◽  
Steering Wheel ◽  
Mathematical Representation ◽  
Vehicle Speed ◽  
Lane Departure Warning ◽  
Model Based ◽  
Lane Departure ◽  
Proposed Model

AbstractLane departure collisions have contributed to the traffic accidents that cause millions of injuries and tens of thousands of casualties per year worldwide. Due to vision-based lane departure warning limitation from environmental conditions that affecting system performance, a model-based vehicle dynamics framework is proposed for estimating the lane departure event by using vehicle dynamics responses. The model-based vehicle dynamics framework mainly consists of a mathematical representation of 9-degree of freedom system, which permitted to pitch, roll, and yaw as well as to move in lateral and longitudinal directions with each tire allowed to rotate on its axle axis. The proposed model-based vehicle dynamics framework is created with a ride model, Calspan tire model, handling model, slip angle, and longitudinal slip subsystems. The vehicle speed and steering wheel angle datasets are used as the input in vehicle dynamics simulation for predicting lane departure event. Among the simulated vehicle dynamic responses, the yaw acceleration response is observed to provide earlier insight in predicting the future lane departure event compared to other vehicle dynamics responses. The proposed model-based vehicle dynamics framework had shown the effectiveness in estimating lane departure using steering wheel angle and vehicle speed inputs.

Understanding Driver Behavior after Concussion: A Machine-Learning Approach

2020 ◽  
Vol 64 (1) ◽  
pp. 1911-1915
Author(s):  
Maryam Daniali ◽  
Dario D. Salvucci ◽  
Maria T. Schultheis
Keyword(s):  
Machine Learning ◽  
Task Performance ◽  
Verbal Memory ◽  
Driving Simulator ◽  
Cognitive Impairments ◽  
Driver Behavior ◽  
Memory Task ◽  
Learning Approach ◽  
Behavioral Task ◽  
Machine Learning Approach

Concussions are common cognitive impairments, but their effects on task performance in general, and on driving in particular, are not well understood. To better understand the effects of concussion on driving, we investigated previously gathered data on twenty-two people with a concussion, driving in a virtual-reality driving simulator (VRDS), and twenty-two non-concussed matched drivers. Participants were asked to per-form a behavioral task (either coin sorting or a verbal memory task) while driving. In this study, we chose a few common metrics from the VRDS and tracked their changes through time for each participant. Our pro-posed method—namely, the use of convolutional neural networks for classification and analysis—can accu-rately classify concussed driving and extract local features on driving sequences that translate to behavioral driving signatures. Overall, our method improves identification and understanding of clinically relevant driv-ing behaviors for concussed individuals and should generalize well to other types of impairments.

Driver Steering Control and a New Perspective on Car Handling Qualities

2005 ◽  
Vol 219 (10) ◽  
pp. 1041-1051 ◽  
Author(s):  
R S Sharp
Keyword(s):  
White Noise ◽  
Gaussian White Noise ◽  
Design Parameters ◽  
Steering Wheel ◽  
Steering Control ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Handling Qualities ◽  
Gaussian White Noise Process ◽  
Low Pass

The article is about steering control of cars by drivers, concentrating on following the lateral profile of the roadway, which is presumed visible ahead of the car. It builds on previously published work, in which it was shown how the driver's preview of the roadway can be combined with the linear dynamics of a simple car to yield a problem of discrete-time optimal-linear-control-theory form. In that work, it was shown how an optimal ‘driver’ of a linear car can convert the path preview sample values, modelled as deriving from a Gaussian white-noise process, into steering wheel displacement commands to cause the car to follow the previewed path with an attractive compromise between precision and ease. Recognizing that real roadway excitation is not so rich in high frequencies as white-noise, a low-pass filter is added to the system. The white-noise sample values are filtered before being seen by the driver. Numerical results are used to show that the optimal preview control is unaltered by the inclusion of the low-pass filter, whereas the feedback control is affected diminishingly as the preview increases. Then, using the established theoretical basis, new results are generated to show time-invariant optimal preview controls for cars and drivers with different layouts and priorities. Tight and loose controls, representing different balances between tracking accuracy and control effort, are calculated and illustrated through simulation. A new performance criterion with handling qualities implications is set up, involving the minimization of the preview distance required. The sensitivities of this distance to variations in the car design parameters are calculated. The influence of additional rear wheel steering is studied from the viewpoint of the preview distance required and the form of the optimal preview gain sequence. Path-following simulations are used to illustrate relatively high-authority and relatively low-authority control strategies, showing manoeuvring well in advance of a turn under appropriate circumstances. The results yield new insights into driver steering control behaviour and vehicle design optimization. The article concludes with a discussion of research in progress aimed at a further improved understanding of how drivers control their vehicles.

Effectiveness of the running system of a wheeled vehicle

2020 ◽  
pp. 16-22
Author(s):  
D.A. Dubovik
Keyword(s):  
Steering Wheel ◽  
Steering Control ◽  
Control Effectiveness ◽  
Power Drive ◽  
Running System ◽  
Wheeled Vehicle ◽  
Curvilinear Motion ◽  
Wheeled Vehicles ◽  
System Power ◽  
Effectiveness Coefficient

A method for quantitative assessment of the effectiveness of the running system of wheeled vehicles for the general case of curvilinear motion is proposed. An expression is obtained for calculating the coefficient of efficiency of the running system of a wheeled vehicle, taking into account the parameters of the power and steering wheel drives. The results of evaluating the effectiveness of the running system of an off-road vehicle with a wheel arrangement of 8Ѕ8 and two front steerable axles are presented. Keywords: wheeled vehicle, running system, power drive, drive wheels, steering control, effectiveness, coefficient of efficiency. [email protected]

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