There is a wide range of different driving simulator systems, which vary greatly in terms of cost as well as system characteristics. Higher fidelity simulators are often assumed to produce more valid ...results. While there are many studies that have compared simulator driving to real-world driving, to date there has been no large study comparing different simulator systems to each other and to real-world driving. Aiming at closing this gap, the present research offers an extensive comparison of six different driving simulators with the results of a previous real-world study.
In terms of absolute validity, most of the simulators provided good results for distance to a vehicle in front and standard deviation of the lateral position, whereas the results for driving speed were inconsistent. Simulator fidelity appears to positively affect distance perception, although differences between higher fidelity simulators were generally small, and no real-world comparison data were available here. With respect to simulator sickness, a clear advantage of using a high fidelity simulator was found, while the effect size depended on the use case. In summary, the results suggest that different simulators are suitable for different use cases to different degrees, and the differences between simulators are not always related to higher simulator fidelity. The presented study can serve as a basis for understanding simulator requirements associated with different use cases.
•Comparative validation study with N = 267 subjects.•Six driving simulators and five scenarios, including real-world comparison data.•Less simulator sickness in high-fidelity driving simulators.•No clear relationship of simulator fidelity and valid driving behavior.
This research was focused on investigating the effectiveness of galvanic cutaneous stimulation and tactile stimulation jointly and individually at mitigating Simulator Adaptation Syndrome. Forty ...drivers (mean age = 23.1 ± 3.4 years old, twenty women) participated in a driving simulation experiment. Total scores of the Simulator Sickness Questionnaire, head movements (an index of body balance), and driving performance variables were compared across four different stimulation conditions: i) baseline (where no stimulation was presented), ii) galvanic cutaneous stimulation and iii) tactile stimulation deployed individually, and iv) both techniques deployed jointly. The results showed that both techniques presented in conjunction alleviate Simulator Adaptation Syndrome and improve driving performance more effectively than when they are presented in isolation. Importantly, reduced head movements were only revealed when galvanic cutaneous stimulation was applied. We concluded that the reduction of this syndrome is due to an improvement of body balance (elicited by galvanic cutaneous stimulation), and a distraction from the symptoms (elicited by tactile stimulation). We encourage the use of both techniques simultaneously to decrease Simulator Adaptation Syndrome.
Objective
The aim of this study is to investigate how anticipatory driving is influenced by distraction.
Background
The anticipation of future events in traffic can allow potential gains in ...recognition and response times. Anticipatory actions (i.e., control actions in preparation for potential traffic changes) have been found to be more prevalent among experienced drivers in simulator studies when driving was the sole task. Despite the prevalence of visual-manual distractions and their negative effects on road safety, their influence on anticipatory driving has not yet been investigated beyond hazard anticipation.
Methods
A simulator experiment was conducted with 16 experienced and 16 novice drivers. Half of the participants were provided with a self-paced visual-manual secondary task presented on a dashboard display.
Results
More anticipatory actions were observed among experienced drivers; experienced drivers also exhibited more efficient visual scanning behaviors as indicated by higher glance rates toward and percent times looking at cues that facilitate the anticipation of upcoming events. Regardless of experience, those with the secondary task displayed reduced anticipatory actions and paid less attention toward anticipatory cues. However, experienced drivers had lower odds of exhibiting long glances toward the secondary task compared to novices. Further, the inclusion of glance duration on anticipatory cues increased the accuracy of a model predicting anticipatory actions based on on-road glance durations.
Conclusion
The results provide additional evidence to existing literature supporting the role of driving experience and distraction engagement in anticipatory driving.
Application
These findings can guide the design of in-vehicle systems and guide training programs to support anticipatory driving.
The increased sensation error between the surroundings and the driver is a major problem in driving simulators, resulting in unrealistic motion cues. Intelligent control schemes have to be developed ...to provide realistic motion cues to the driver. The driver's body model incorporates the effects of vibrations on the driver's health, comfort, perception, and motion sickness, and most of the current research on motion cueing has not considered these factors. This article proposes a novel optimal motion cueing algorithm that utilizes the driver's body model in conjunction with the driver's perception model to minimize the sensation error. Moreover, this article employs Hinfinity control in place of the linear quadratic regulator to optimize the quadratic cost function of sensation error. As compared to state of the art, we achieve decreased sensation error in terms of small root-mean-square difference (70%, 61%, and 84% decrease in case of longitudinal acceleration, lateral acceleration, and yaw velocity, respectively) and improved coefficient of cross-correlation (3% and 1% increase in case of longitudinal and lateral acceleration, respectively).
In this paper, we designed from scratch, realized, and characterized a six-channel EEG wearable headband for the measurement of stress-related brain activity during driving. The headband transmits ...data over WiFi to a laptop, and the rechargeable battery life is 10 h of continuous transmission. The characterization manifested a measurement error of 6 μV in reading EEG channels, and the bandwidth was in the range 0.8, 44 Hz, while the resolution was 50 nV exploiting the oversampling technique. Thanks to the full metrological characterization presented in this paper, we provide important information regarding the accuracy of the sensor because, in the literature, commercial EEG sensors are used even if their accuracy is not provided in the manuals. We set up an experiment using the driving simulator available in our laboratory at the University of Udine; the experiment involved ten volunteers who had to drive in three scenarios: manual, autonomous vehicle with a "gentle" approach, and autonomous vehicle with an "aggressive" approach. The aim of the experiment was to assess how autonomous driving algorithms impact EEG brain activity. To our knowledge, this is the first study to compare different autonomous driving algorithms in terms of drivers' acceptability by means of EEG signals. The obtained results demonstrated that the estimated power of beta waves (related to stress) is higher in the manual with respect to autonomous driving algorithms, either "gentle" or "aggressive".
Driving simulators are an increasingly important tool to develop vehicle functionalities and to study driver or passenger responses. A major hindrance to the use and validity of such studies is ...Simulator Sickness (SS). Several studies have suggested a positive relation between improvements in simulator fidelity and the likelihood of sickness. We hypothesized that this relation only holds true for static (fixed-base) simulators, and that increased fidelity in fact reduces simulator sickness in dynamic (moving-base) simulators. We performed a meta-analysis investigating the relation between sickness and fidelity in static and dynamic systems. A literature search yielded a total of 41 simulator studies that varied aspects of mechanical and/or visual fidelity and assessed SS for the same driving conditions and the same or equivalent participant groups. Evaluation of a model synthesizing the findings of these studies indicates that SS decreases with visual fidelity, and suggests that this effect may be negated for static simulators. The results of the modeling efforts thereby provide some support for the hypothesis that increased fidelity can reduce SS in dynamic simulators. Based on the evaluation of the literature we also note particular shortcomings and gaps in available research. Finally, we make recommendations for specific experiments that may fill these gaps and allow definitive conclusions on the role of simulator fidelity in SS.
Simulation in vocational education Susanne Gustavsson
Scandinavian Journal of Vocations in Development,
11/2021, Letnik:
6, Številka:
1
Journal Article
Recenzirano
Odprti dostop
This study addresses the use of driving simulators in vocational education. The aim of the study is to use the experiences of vocational teachers and questions to identify critical aspects of ...simulator-assisted teaching. The Background section contains a description of studies regarding digitalisation within other educational contexts and teaching with simulators in other contexts as well as teacher competencies and the school’s quality measures. The study’s empirical evidence consists of observations and discussions with vocational teachers. The Results section contains an account of the vocational teacher’s questions in the form of identified problem areas. The Conclusions section of the study highlights simulator-assisted teaching and the importance of substantive aspects, as well as the connection to professional knowledge and competency, the possibility of adapting the teaching based on the needs of the student, and the consequences of the teaching for the professional skills and knowledge acquired by the student. The Discussion section addresses aspects such as teaching-related issues regarding transfer, the work of the vocational programme and the school with regard to the implementation of new technology in the teaching process, and the vocational teacher’s role and situation. In order to further develop knowledge about simulator-supported teaching in vocational education, more practice related studies of students' learning process and how the teaching contributes to the development of vocational skills are required.
This paper describes the design of a two channels electrodermal activity (EDA) sensor and two channels electrocardiogram (ECG) sensor. The EDA sensors acquire data on the hands and transmit them to ...the ECG sensor with wireless WiFi communication for increased wearability. The sensors system acquires two EDA channels to improve the removal of motion artifacts that take place if EDA is measured on individuals who need to move their hands in their activities. The ECG channels are acquired on the chest and the ECG sensor is responsible for aligning the two ECG traces with the received packets from EDA sensors; the ECG sensor sends via WiFi the aligned packets to a laptop for real time plot and data storage. The metrological characterization showed high-level performances in terms of linearity and jitter; the delays introduced by the wireless transmission from EDA to ECG sensor have been proved to be negligible for the present application.
There is currently a huge interest around autonomous vehicles from both industry and academia. This is mainly due to recent advances in machine learning and deep learning, allowing the development of ...promising methods for autonomous driving. The gap toward full autonomy is incrementally being reduced with essentially three main existing approaches. First, Modular systems that combine a pipeline of methods with each solving one specific sub-task of driving. Second, Direct Perception techniques that directly estimate affordances (car orientation, distances between lane borders, etc) used to compute control commands through a simple logic. Finally, end-to-end frameworks that automatically map raw sensor data to actuation values. The objective of this paper is to review some recent works focusing on end-to-end deep learning models for lane stable driving, as well as some publicly available real world datasets and open-source simulators that enable the development and evaluation of such methods.
Motorsports have become an excellent playground for testing the limits of technology, machines, and human drivers. This paper presents a study that used a professional racing simulator to compare the ...behavior of human and autonomous drivers under an aggressive driving scenario. A professional simulator offers a close-to-real emulation of underlying physics and vehicle dynamics, as well as a wealth of clean telemetry data. In the first study, the participants' task was to achieve the fastest lap while keeping the car on the track. We grouped the resulting laps according to the performance (lap-time), defining driving behaviors at various performance levels. An extensive analysis of vehicle control features obtained from telemetry data was performed with the goal of predicting the driving performance and informing an autonomous system. In the second part of the study, a state-of-the-art reinforcement learning (RL) algorithm was trained to control the brake, throttle and steering of the simulated racing car. We investigated how the features used to predict driving performance in humans can be used in autonomous driving. Our study investigates human driving patterns with the goal of finding traces that could improve the performance of RL approaches. Conversely, they can also be applied to training (professional) drivers to improve their racing line.