Driver's Consciousness Research Articles

Artificial intelligence system for driver distraction by stacked deep learning classification

Increasing efforts in the transportation system have recently improved driver safety and reduced crash rates. Lack of attention and fatigue directly affect the driver's consciousness. Driver distraction is an essential driver-specific factor in the practical applicability of forward collision warning (FCW). However, there are still too many false alarms generated by the existing FCW system to be mitigated. This paper proposes facial detection to identify features and test anomalies' prediction against drivers using stacked convolutional neural network (CNN) layers. The proposed model used overlapping HAAR and stacked CNN features to identify classifications of eye areas, such as open or closed. In addition to the sliding query window's overall intensity information. The conventional HAAR function, which elevates the brightness of nearby regions, is still preferable. This method considers current intelligent transportation system-based solutions to minimize distraction effects by continuously comparing with flexible thresholds. The experimental results are analyzed from accurate driving datasets. At 456 iterations, the results acquired over 80% accuracy, while loss is near zero. The implication of driver's risk tolerance is further explored in this manner. Several risks are connected to driving any type of transportation system.

Современные подходы к изучению правового сознания водителей автотранспортных средств

The article considers some points of view on the legal consciousness ofdrivers of vehicles. In studying the psychological aspects of risky driving, the complexity of all types of interaction, like traffic on the one hand, and the behavior of road users, on the other are emphasized. The purpose of the initial training of drivers should consist in obtaining the necessary knowledge, skills and abilities that will enable them to drive the vehicle safely in conditions and requirements that are in line with road safety. The ability to master the skills of safe driving is only partially limited to the psychology of drivers and can be partially compensated by intensive training to acquire a driving experience. The extreme nature of the drivers' activity is emphasized by the widely discussed issues of the personal factor in ensuring road safety. The challenge is to acquire a driving practice in relatively safe conditions using the best practices. The formation of a safe behavior model is especially necessary at the initial stage of the process, in order to change the attitude to safety in the critical majority of the population. At the same time, the main emphasis should be placed on the personal interest of drivers in solving the problem of road safety, the need for reasonable, responsible and disciplined behavior on the roads, the attention of road users to each other, showing positive facts of culture and driving skills. The article analyzes modern ideas about the legal consciousness of drivers of vehicles. Particular attention is paid to the study of the subjective side of the driver. Key words: sense of justice, dangerous driving, negligent driving, administrative offense, driver.

A Study of a Driver Model Using Unconscious Driving Behaviors

The automation of automobiles will change driver behavior, as the unconscious region stressed by the conscious region. Driving operation is considered to be done unconsciously, as human biological signals start 0.3seconds before a decision is made. It is thought that driving operation changes when the unconscious region is pressured. In this paper, we set mental calculations as a dual task technique of a non-driving task for drivers, and verified the changing of driver operations by this load pressure on a driver's consciousness region.

Development of a drowsiness warning system based on the fuzzy logic

Nowadays, driving support systems, such as car navigation systems, are getting common, and they support drivers in several aspects. It is important for driving support systems to detect status of driver's consciousness. Particularly, detecting driver's drowsiness could prevent drivers from collisions caused by drowsy driving. In this paper, we discuss a system and a method for detecting driver's drowsiness, which uses the Image processing and Fuzzy logic to detect Driver‟s drowsiness.

Analytical Study of Human Errors causing Traffic Accidents from the view point of Consciousness Transition

The major human errors that have proven to be key factors in 80 to 90% of all traffic accidents include “distraction,” taking one's eyes off the road while driving; “inattentiveness,” switching one's consciousness from driving to other things; and “false perception” causing recognition mistakes in traffic due to visual illusions. To study human errors causing traffic accidents we evaluated evasive reaction time to an outside dangerous event under distraction and tried to analyze accident probability using reaction time, etc. The analysis integrates drivers’ evasive reaction time to dangerous events with variations in driving performance caused by the state transition of driver's consciousness. Further more we estimate effectiveness of a warning system to the distraction.

Development of driver's Status Monitor and Warning Presentation Method of Driver Support System

To develop a human-friendly driver support system, it is essential to detect the driver's status such as consciousness levels and looking aside. We have developed a driver monitoring system, which detect the driver's consciousness reduction and gaze direction change by image processing techniques. Furthermore, we have proposed a new warning method with this driver monitoring system. The effectiveness in this method has been verified using a driving simulator.

3206 シート圧反力を用いたドライバの状態推定に関する基礎的研究(シミュレーションの視点から,OS4 ヒューマンインタフェース,一般講演)

The paper deals with possibility to measure vital reaction of a driver using reaction force of a seat. It is very useful, if the vital reaction can be measured without driver's consciousness. At first step of this research, driver's breath is examined as an example. The heart beat, breath, and the seat pressure are measured at steady state condition of driver on board. The relation between the seat pressure and driver's breath is examined using the frequency analysis result. Finally, it is shown that driver's breath can be measured using the seat pressure, and also shown the measuring position which is easy to identify.

Analysis of Driver's Consciousness Level Deterioration in Underground Urban Expressway

This paper focuses on consciousness level deterioration while driving in a long urban expressway tunnel. Experiments are conducted using a driving simulator. In urban expressway tunnel, drivers might experience high mental load because of spatial pressure, high traffic volume, and conflict with other vehicles at merging sections. On the other hand, monotonous visual stimulus inside tunnel decreases driver's consciousness level. Using experiments where the relatively monotonous traffic conditions are assumed, results indicate that the driver's consciousness level can deteriorate especially when driving at basic segment between merging sections, and that of elderly drivers can deteriorate more than taxi drivers.

意識の状態遷移を考慮した確率論的右折衝突事故モデルの検討(自動車,OSI 新しい交通・物流システム(ITSを含む))

意識の状態遷移を考慮した確率論的右折衝突事故モデルの検討(自動車,OSI 新しい交通・物流システム(ITSを含む))

EVALUATION OF CONGESTION ON URBAN STREETS WITH SIGNALIZED INTERSECTIONS

We propose a new definition of congestion for urban streets with signalized intersections on the basis of driver's consciousness. The new one is defined by both average speed including signalstops and travel time in congested road area. It is shown that the new definition fit the Bloch's law which is famous for the consciousness study of psychology. And it is shown that if we use the new definition in order to decide congested road area on urban streets, we can obtain the result which really fit driver's consciousness.

Study on Driver's Consciousness with Regard to On-Street Parking Lot and Roadway Width of One-Way Street with On-Street Parking in Central Business Districts

Study on Driver's Consciousness with Regard to On-Street Parking Lot and Roadway Width of One-Way Street with On-Street Parking in Central Business Districts

DEFINITION OF FREEWAY CONGESTION FOR TRAFFIC INFORMATION BASED ON DRIVER'S CONSCIOUSNESS

DEFINITION OF FREEWAY CONGESTION FOR TRAFFIC INFORMATION BASED ON DRIVER'S CONSCIOUSNESS