The Experts below are selected from a list of 264 Experts worldwide ranked by ideXlab platform
Lars Åberg - One of the best experts on this subject based on the ideXlab platform.
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The long term effects of an ISA speed-Warning Device on drivers’ speeding behaviour
Transportation Research Part F-traffic Psychology and Behaviour, 2008Co-Authors: Henriette Wallén Warner, Lars ÅbergAbstract:Different systems of intelligent speed adaptation (ISA) have already been tested in the field and large-scale implementation is being discussed. But do we really know how these systems affect drivers during long-term use? Between 2000 and 2003 a total of 61 test drivers had an ISA speed-Warning Device installed in their vehicles. Data from these trials show that, initially, the Device greatly reduced the amount of time the majority of test drivers spent above the speed limit, and to some extent also reduced their mean speeds, but this effect decreased with time. Further analyses of 27 of the 61 test drivers then showed that the activation of the Warning system affected different drivers in quite a homogenous way, with regards to attitude, subjective norm and self-reported behaviour, but not with regards to perceived behavioural control. After activation, long-term use did, however, affect the test drivers in a homogenous way with regards to attitude, subjective norm and self-reported behaviour, as well as perceived behavioural control. When considering these results it must be remembered that the Device tested was a first generation ISA speed-Warning Device and with more research we think that different ISA-systems could be improved and the effects made more stable during long-term use.
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The long-term effects of an ISA speed-Warning Device on drivers' speeding behaviour
Transportation Research Part F: Traffic Psychology and Behaviour, 2008Co-Authors: Henriette Wallén Warner, Lars ÅbergAbstract:Different systems of intelligent speed adaptation (ISA) have already been tested in the field and large-scale implementation is being discussed. But do we really know how these systems affect drivers during long-term use? Between 2000 and 2003 a total of 61 test drivers had an ISA speed-Warning Device installed in their vehicles. Data from these trials show that, initially, the Device greatly reduced the amount of time the majority of test drivers spent above the speed limit, and to some extent also reduced their mean speeds, but this effect decreased with time. Further analyses of 27 of the 61 test drivers then showed that the activation of the Warning system affected different drivers in quite a homogenous way, with regards to attitude, subjective norm and self-reported behaviour, but not with regards to perceived behavioural control. After activation, long-term use did, however, affect the test drivers in a homogenous way with regards to attitude, subjective norm and self-reported behaviour, as well as perceived behavioural control. When considering these results it must be remembered that the Device tested was a first generation ISA speed-Warning Device and with more research we think that different ISA-systems could be improved and the effects made more stable during long-term use. © 2007 Elsevier Ltd. All rights reserved.
Vanessa Senger - One of the best experts on this subject based on the ideXlab platform.
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The Seizure Prediction Problem in Epilepsy: Cellular Nonlinear Networks
IEEE Circuits and Systems Magazine, 2012Co-Authors: Ronald Tetzlaff, Vanessa SengerAbstract:70 million people are affected by epilepsy which is the most common chronic neurological disorder worldwide. About 70% of patients can expect an effective seizure control with medication. The realization of an implantable Device capable of detecting impending seizures, Warning patients and rendering some kind of treatment would be of great benefit. In this contribution, a brief history of epilepsy and an introduction to terminology and symptoms are given followed by a short summary of current research going on in the field of seizure prediction. Afterwards, an introduction to Cellular Nonlinear Networks (CNN , a paradigm for high speed computation) is given and finally a presentation of 4 different CNN based approaches to epileptic seizure prediction will convey a vision of the methods possibly used one day on an implantable seizure Warning Device.
Yu-hsiang Yu - One of the best experts on this subject based on the ideXlab platform.
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Vehicle Warning system for land departure and collision avoidance: Using fuzzy decision making
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011Co-Authors: Yu-hsiang YuAbstract:This paper focuses on vehicle Warning system based on fuzzy decision making for lane departure and forward collision avoidance for dealing with driver assistant system. The proposed system is composed of vision-based preprocessing and a fuzzy decision making. The objective of vision-based preprocessing part is lane tracking and forward vehicle detection, and provides the necessary information for fuzzy decision making to trigger the Warning Device. The fuzzy decision making unit can adjust the fuzzy decision rule base follow the driving behavior to increase the Warning strength for lane departure and/ or forward collision.
Chunbai Wang - One of the best experts on this subject based on the ideXlab platform.
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design of a fatigue detection system for high speed trains based on driver vigilance using a wireless wearable eeg
Sensors, 2017Co-Authors: Xiaoliang Zhang, Jiali Li, Zutao Zhang, Zhuojun Wang, Xiang Zhou, Waleed Salman, Guangdi Hu, Chunbai WangAbstract:The vigilance of the driver is important for railway safety, despite not being included in the safety management system (SMS) for high-speed train safety. In this paper, a novel fatigue detection system for high-speed train safety based on monitoring train driver vigilance using a wireless wearable electroencephalograph (EEG) is presented. This system is designed to detect whether the driver is drowsiness. The proposed system consists of three main parts: (1) a wireless wearable EEG collection; (2) train driver vigilance detection; and (3) early Warning Device for train driver. In the first part, an 8-channel wireless wearable brain-computer interface (BCI) Device acquires the locomotive driver’s brain EEG signal comfortably under high-speed train-driving conditions. The recorded data are transmitted to a personal computer (PC) via Bluetooth. In the second step, a support vector machine (SVM) classification algorithm is implemented to determine the vigilance level using the Fast Fourier transform (FFT) to extract the EEG power spectrum density (PSD). In addition, an early Warning Device begins to work if fatigue is detected. The simulation and test results demonstrate the feasibility of the proposed fatigue detection system for high-speed train safety.
Henriette Wallén Warner - One of the best experts on this subject based on the ideXlab platform.
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The long term effects of an ISA speed-Warning Device on drivers’ speeding behaviour
Transportation Research Part F-traffic Psychology and Behaviour, 2008Co-Authors: Henriette Wallén Warner, Lars ÅbergAbstract:Different systems of intelligent speed adaptation (ISA) have already been tested in the field and large-scale implementation is being discussed. But do we really know how these systems affect drivers during long-term use? Between 2000 and 2003 a total of 61 test drivers had an ISA speed-Warning Device installed in their vehicles. Data from these trials show that, initially, the Device greatly reduced the amount of time the majority of test drivers spent above the speed limit, and to some extent also reduced their mean speeds, but this effect decreased with time. Further analyses of 27 of the 61 test drivers then showed that the activation of the Warning system affected different drivers in quite a homogenous way, with regards to attitude, subjective norm and self-reported behaviour, but not with regards to perceived behavioural control. After activation, long-term use did, however, affect the test drivers in a homogenous way with regards to attitude, subjective norm and self-reported behaviour, as well as perceived behavioural control. When considering these results it must be remembered that the Device tested was a first generation ISA speed-Warning Device and with more research we think that different ISA-systems could be improved and the effects made more stable during long-term use.
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The long-term effects of an ISA speed-Warning Device on drivers' speeding behaviour
Transportation Research Part F: Traffic Psychology and Behaviour, 2008Co-Authors: Henriette Wallén Warner, Lars ÅbergAbstract:Different systems of intelligent speed adaptation (ISA) have already been tested in the field and large-scale implementation is being discussed. But do we really know how these systems affect drivers during long-term use? Between 2000 and 2003 a total of 61 test drivers had an ISA speed-Warning Device installed in their vehicles. Data from these trials show that, initially, the Device greatly reduced the amount of time the majority of test drivers spent above the speed limit, and to some extent also reduced their mean speeds, but this effect decreased with time. Further analyses of 27 of the 61 test drivers then showed that the activation of the Warning system affected different drivers in quite a homogenous way, with regards to attitude, subjective norm and self-reported behaviour, but not with regards to perceived behavioural control. After activation, long-term use did, however, affect the test drivers in a homogenous way with regards to attitude, subjective norm and self-reported behaviour, as well as perceived behavioural control. When considering these results it must be remembered that the Device tested was a first generation ISA speed-Warning Device and with more research we think that different ISA-systems could be improved and the effects made more stable during long-term use. © 2007 Elsevier Ltd. All rights reserved.
