Studying Effects of Advanced Driver Assistance Systems (ADAS) on Individual and Group Level Using Multi-Driver Simulation

Maag, Christian; Mühlbacher, Dominik; Mark, Christian; Krüger, Hans‐Peter

doi:10.1109/mits.2012.2203231

Cited by 47 publications

(8 citation statements)

References 22 publications

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“…Automobile manufacturers are installing advanced driver assistance systems (ADAS) in some high-end cars with the purpose of balancing safety and efficiency among road traffic [8]. The ADAS mainly consists of an electronic stability program (ESP), an adaptive cruise control system, and a lane departure warning (LDW) system [9].…”

Section: Introductionmentioning

confidence: 99%

A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors

Zhang

Dong

2016

Sensors

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In this article, a novel driving behavior recognition system based on a specific physical model and motion sensory data is developed to promote traffic safety. Based on the theory of rigid body kinematics, we build a specific physical model to reveal the data change rule during the vehicle moving process. In this work, we adopt a nine-axis motion sensor including a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer, and apply a Kalman filter for noise elimination and an adaptive time window for data extraction. Based on the feature extraction guided by the built physical model, various classifiers are accomplished to recognize different driving behaviors. Leveraging the system, normal driving behaviors (such as accelerating, braking, lane changing and turning with caution) and aggressive driving behaviors (such as accelerating, braking, lane changing and turning with a sudden) can be classified with a high accuracy of 93.25%. Compared with traditional driving behavior recognition methods using machine learning only, the proposed system possesses a solid theoretical basis, performs better and has good prospects.

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Section: Introductionmentioning

confidence: 99%

A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors

Zhang

Dong

2016

Sensors

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“…Many researchers agree that there are two main and competing goals that road users have in traffic: getting to a destination in the least amount of time (traffic efficiency) and doing so in a safe manner (safety) (Hale et al, 1990;Laureshyn et al, 2010;Stevanovic et al, 2013), and it has been said that ADAS have the potential to optimize both these factors (Maag et al, 2012). Accordingly, in the evaluation of our audio-visual display, we used measures of speed for both the participant and the experimenter, as well as a measure of safety, namely the time gap between the two vehicles (cf.…”

Section: Aim Of the Present Studymentioning

confidence: 99%

Concurrent audio-visual feedback for supporting drivers at intersections: A study using two linked driving simulators

et al. 2017

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A large portion of road traffic crashes occur at intersections for the reason that drivers lack necessary visual information. This research examined the effects of an audio-visual display that provides real-time sonification and visualization of the speed and direction of another car approaching the crossroads on an intersecting road. The location of red blinking lights (left vs. right on the speedometer) and the lateral input direction of beeps (left vs. right ear in headphones) corresponded to the direction from where the other car approached, and the blink and beep rates were a function of the approaching car's speed. Two driving simulators were linked so that the participant and the experimenter drove in the same virtual world. Participants (N = 25) completed four sessions (two with the audio-visual display on, two with the audio-visual display off), each session consisting of 22 intersections at which the experimenter approached from the left or right and either maintained speed or slowed down. Compared to driving with the display off, the audio-visual display resulted in enhanced traffic efficiency (i.e., greater mean speed, less coasting) while not compromising safety (i.e., the time gap between the two vehicles was equivalent). A post-experiment questionnaire showed that the beeps were regarded as more useful than the lights. It is argued that the audio-visual display is a promising means of supporting drivers until fully automated driving is technically feasible.

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“…Moreover, a driving instructor can participate interactively by performing specific maneuvers to subject drivers to sudden or unpredictable traffic situations. As participants of future traffic environments are becoming more interconnected, networked driving simulation can be used to safely and efficiently learn various advanced automotive technologies without overestimating their capabilities [14]. For instance, Figure 1 shows schematic of a platform of networked driving simulation that can be used in modern driving schools.…”

Section: Networked Driving Simulation For Training Purposesmentioning

confidence: 99%

Networked Driving Simulation: Applications, State of the Art, and Design Considerations

Abdelgawad

Gausemeier

Dumitrescu

et al. 2017

Designs

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Automotive manufacturers and suppliers develop new vehicle technologies to increase traffic safety and transportation efficiency. Autonomous and cooperative vehicle systems are crucial examples of such advanced technologies. The hustle to deploy these fascinating systems onto public roads increases as customer's expectations rise. Networked driving simulation represents an effective virtual prototyping tool that can support the development, and hence, accelerate system deployment. In networked driving simulation, two or more human-driven virtual vehicles share the same environment and form a very close approximation of real-world traffic interactions. This emerged multi-interactive virtual environment can serve various applications related to the new vehicle technologies and the ever increasing traffic complexity. This paper introduces the promising applications of networked driving simulation and outlines the necessary system design requirements. In addition, the work presents an extensive literature review and evaluation of utilizations of networked driving simulation. Furthermore, three compelling systems of networked driving simulation are analyzed regarding their technical specifications and application scopes. The systems are compared and evaluated using the derived requirements. Finally, potential future work is revealed regarding the design of resilient networked driving simulation systems that can be tailored for possible changes of application requirements.

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Studying Effects of Advanced Driver Assistance Systems (ADAS) on Individual and Group Level Using Multi-Driver Simulation

Cited by 47 publications

References 22 publications

A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors

A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors

Concurrent audio-visual feedback for supporting drivers at intersections: A study using two linked driving simulators

Networked Driving Simulation: Applications, State of the Art, and Design Considerations

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