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Electroencephalogram (EEG) is a widely used experimental tool in psychological research. In this study, we used EEG to research the driving safety by measuring the dynamic changes of drivers' emotions in a long tunnel. Through the study whether there was a tunnel, and whether there was a large amount of traffic flow in the tunnel, we found a long tunnel only makes a slight negative effect on driver's...
In order to accurately simulate vehicles' running states of lane changing and more effectively reflect its characteristics, based on the driving experience, this paper introduced three changing rules and their corresponding lane changing benefits and safety factors, and summarized the lateral and longitudinal motion of vehicles as the interaction result between lane changing benefits and safety factors...
Vehicular ad hoc networks (VANETs) have emerged as a paradigm for sharing information among vehicles and infrastructure that has the potential to provide road safety and travellers comfort. The bandwidth limitation is one of the main challenges of this technology, however, the growing perspectives of applications demand more and more service channels. In this work we propose two novel channel hopping...
Even highly sophisticated and reliable driver assistance systems might encounter critical situations that are outside system design capacity. This can lead to a conflict in viewpoints between the driver and automation. To evaluate the effects of such conflicts on human-machine interaction and cooperation, overall performance, and safety, an experiment was designed to determine driver responses to...
Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS) are being vigorously developed for improving traffic safety and transportation efficiency. AD and ADAS need to provide smooth and comfortable driving experiences to drivers and passengers as well as accommodation of other traffic. Individual drivers have different driving styles. This paper proposes a driver-adapted narrow road...
A novel method for evaluating driver distraction and situation awareness while performing a secondary task using a fuzzy set theory is proposed in this paper. A fuzzy inference engine realization process based on simple matrix operations is described in detail. The drivers' performance is evaluated referring to the vehicle behavior, in particular, the abilities to keep the vehicle in the center of...
High volumes of pedestrians, cyclists and other vulnerable road users (VRUs) have much higher casualty rates per mile; not surprising given their lack of protection from an accident. In order to alleviate the problem, sensing capabilities of smartphones can be used to detect, warn and safeguard these road users. In this research we propose an infrastructure-less fog-based architecture named PV-Alert...
This paper represents a non-cooperative trajectory-planning algorithm for vehicles with consideration of drivers' characteristics. The driver-vehicle model considering driver's different characteristics is applied to formulate a vehicle to vehicle (V2V) encountering system. The non-cooperative control algorithm is employed to plan collision-free trajectories for these encountering vehicles with initial...
Vehicular Ad Hoc Networks (VANET) are the fastchanging networks for connected vehicles, in which Vehicle- to-Vehicle and Vehicle-to-Infrastructure communication are the basis for technologies aiming at reducing accidents and improving operation. DSRC Safety Applications, designed to assist drivers in order to avoid accidents, might be subjected to malicious attacks, such as GPS time spoofing attacks,...
The paper deals with the problem of ensuring the safety of vehicles and transport infrastructure. The urgency of these problems is justified and the potential threats and vulnerabilities are investigated for different types of transport. The approaches have been proposed to ensure a transport security. The method of transport security modeling is substantiated. The basic conclusions and recommendations...
The aim of this study is to design safe driving system which is constantly being worked on every year in the world to reduce traffic accidents that cause economic and social loss in very large sizes. The developed safe driving system works on mobile phones that are not part of other secure driving systems. By this way, regardless of the technological equipment of the vehicle, old or new all means...
Primary goals of Advanced Driver Assistance Systems (ADAS) are increased safety and situations with no stress for all traffic participants. Parking safety is improved by presenting real-time vehicle environment to the driver (surround view, bird's eye view). Bird's eye view is 3D camera and parking sensors system which assist driver with parking. It covers all angles and alerts the driver about obstacles,...
With the aim of improve minig safety, this work presents a new development intended to detect a long eye closure of the drivers of huge mining trucks. Information is being captured with an artificial vision system and the resulting images are being processed using the “dlib” library. The improvements achieved are going to be incorporated in an integrating system intended to globally improve the mining...
This work investigates the incorporation of a risk metric based on time to collision for Adaptive Cruise Control applications on multi-lane motorways. To improve the fuel-efficiency and safety, a stochastic model predictive control approach is suggested that limits the violation probability of the imposed risk metric. For this reason, a Bayesian network is used to predict the probability distributions...
This article presents an Android application for safety driving based on OsmAnd, an open source platform offering offline maps and navigation. Our application extends OsmAnd to achieved smart navigation features by creating a network of vehicles. These features allow informing regular vehicles about incoming emergency vehicles, which include ambulances, police cars and fire brigades. The goal is to...
Data mining technology is used to analyze the association between driver's macroscopic characteristics and accident types of drivers of urban traffic accidents. Based on the correlation between microscopic characteristics (such as physiology and psychology of the driver and macro characteristics (such as sex, age and driving age), the statistic values of driver sex, age and driving characteristics...
Convolution Neural Networks today provide the best results for many image detection and image recognition problems. The computational complexity and the amount of parameters learned has increased, yet there is little to no research on the topic of functional safety for systems incorporating CNNs. The analysis on false detections due to random hardware faults concentrates on human made adversarial...
Automobiles are currently equipped with a three-mirror system for rear-view visualization. The two side-view mirrors show close the periphery on the left and right sides of the vehicle, and the center rear-view mirror is typically adjusted to allow the driver to see through the vehicle's rear windshield. This three-mirror system, however, imposes safety concerns in requiring drivers to shift their...
In surface mine environment, the size of mining equipment is typically very huge. Therefore, the sight of equip- ment operators in high- mounted cockpits is severely limited and those operators are often unaware of the approaching or nearby vehicles. It is reported that this unawareness causes serious accidents, which motivates us for proximity detection of those vehicles. Inter-Vehicle Communication...
Truck platooning for which multiple trucks follow at a short distance is considered a near-term truck automation opportunity, with the potential to reduce fuel consumption. Short following distances and increasing automation make it hard for a driver to be the backup if the system fails. The EcoTwin consortium successfully demonstrated a two truck platooning system with trucks following at 20 meters...
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