• Journal of Digital Convergence
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• v.10 no.10
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• pp.295-300
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• 2012

Various forward collision warning algorithms have studied in order to protect a car accident. For this, in general, algorithms using an external device such as a camera and sensor generate a forward collision warning. However, if using the external device, it can occur errors due to device characteristics when there is rain or fog. Also, the prevention of a chain-reaction collision is insufficient because the system generates a warning in case of only vehicle having a forward collision danger. If it combines the vehicle safety communications, the method becomes a solution to protect a chain-reaction collision. So, In this paper, we proposes a improved forward collision warning algorithm using the wireless communication technique, driver's information, breaking distance, and velocity. And we compare and analyze our algorithm and previous algorithms.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.63-74
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• 2009

One of the effective countermeasures for preventing traffic accidents is to provide traffic safety warning information to drivers. Provision of warning information would lead to safer driving to avoid accident occurrence. This study investigated the effects of in-vehicle warning information on driver's behavior. A variety of warning information contents using text, sound, and pictograms were prepared for the field experiments. Individual vehicle speed and acceleration data, which represent quantitative drivers' behavior in response to in-vehicle warning information, were collected using differential global positioning systems (DGPS). Statistical analyses including ANOVA and Tukey's pairwise comparison were conducted. It is expected that the results could be invaluable for designing more effective warning information.

• Human Ecology Research
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• v.56 no.4
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• pp.347-360
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• 2018

We surveyed 223 road workers between 2017 July-August about wearing and satisfaction in order to find basic data to develop safety clothing that enhances visibility of motion and comfort while meeting international standards. It was found that most of the current warning clothing owned by road cleaners and about 2/3 of policemen clothes were provided by public institutions. The purpose of wearing, color, properties, satisfaction and protectiveness differed significantly by occupation. Second, the most popular response for the type and quantity of warning clothing was 2 sets of spring/autumn, summer, and winter type for road cleaners, whereas policemen chose 2 sets of all types plus a safety vest. Therefore, a top-level (3rd class) warning clothing study is required. Third, satisfaction ranked Moderate>Good>Poor; in addition, the main reason for satisfaction was that 'retroreflective tape increases safety at night (54.4%)' for road cleaners and 'the fluorescent color stands out (43.7%)' for policemen. Thus, it was accepted that visibility contributed to safety. Fourth, body-protectiveness was evaluated higher compared to wearing satisfaction, and it was recognized more by road cleaners than policemen. Overall satisfaction was higher for road cleaners versus policemen both in Seoul than Incheon. Fifth, the main dissatisfaction in both groups was 'low sweat absorbency' showing improving the air permeability, moisture regain and permeability was the highest priority. Finally, those working 8 hours a day tended to evaluate more positively the 6 properties of the material.

• Journal of the Korean Society for Precision Engineering
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• v.24 no.2 s.191
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• pp.73-85
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• 2007

The rear lateral collision warning system using fuzzy control algorithms is discussed in this paper. Common rear lateral warning system has many problems. For example if target vehicle comes into the warning area, it must unconditionally warn. Drivers could be interrupted by it. To solve the problem, I divided measuring area into two sections. One section is blind area of vehicle and the other rear lateral area. For blind area, obtained data was filtered inefficient warning signal by using relative velocity method. For rear lateral area, a fuzzy logic algorithm is used to recognition of obstacles. According to our experiment relative velocity method and fuzzy logic algorithms were very efficient.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.472-474
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• 2001

공군에서 전투기 사고는 적은 비율이지만 계속적으로 발생한다. 이 시스템의 명세 목적은 사람이 결심하여 전투기에서 비상탈출 하는 것에 컴퓨터의 역할을 추가하여 조종사의 생존 가능성을 높이는데 있다. 사람은 모든 감각기관을 통하여 미래의 상황을 예견할 수 있는 능력이 있는 반면, 착각 등을 통하여 실수를 포함하는 행위를 할 수도 있고, 비상탈출을 결심하였다고 하더라도 전투기 기동이 매우 급변하여 반드시 비상탈출을 성공한다고 볼 수 없다. 그래서, 기존에 장치되어 있는 측정장치들을 이용하여, 비 정상적인 워치에 전투기가 위치했을 때는 Warning을 하고, 명백하게 비상탈출 하여야할 겅우가 발생했을 때는 자동으로 비상탈출을 실행하는 System을 명세하였다. AWES(Auto Warning/Ejection System)은 Safety-Critical System의 일종이라 할 수 있다. 그래서, 개발 초기 단계부터 정형기법(format methods)에 기반하여 개발되어야 한다. 본 논문에서는 Reactiv system의 행위적인 면을 명세하는데 장점을 가지는 Statecharts를 이용하였으며, STATEMATE라는 도구로 AWES(Auto Warning/Ejection System)을 명세하였다.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.3
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• pp.157-167
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• 2011

Although vehicles become more intelligent for convenience and safety of drivers, traffic accidents are increased more and more. Especially, car-to-car single rear impacts in the urban area are increased rapidly because of driver inattention. To prevent rear impacts in the urban area, commercial automobile vendor applies the low-speed short-distance collision warning system. This paper presents low-speed short-distance collision warning algorithm for the city driving by using sensor fusion of laser sensor and ultrasonic sensor. An experiment using embedded microprocessor in the driving track was used to demonstrate the feasibility of the collision warning algorithm.

• 한국ITS학회:학술대회논문집
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• 2008.11a
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• pp.301-308
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• 2008

• International conference on construction engineering and project management
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• 2022.06a
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• pp.261-268
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• 2022

In road work zones, pedestrian workers' habituated inattention to warning alarms from construction vehicles can lead to fatal accidents. Previous studies have theorized that human factors such as personality traits may affect workers' inattentiveness to workplace hazards. However, there has been no study that directly examined how road construction workers' personality traits affect their attention to warning alarms within a work zone and the likelihood of engagement in a struck-by accident. This study examines how workers' sensation-seeking (especially boredom susceptibility) is related to inattention to warning alarms while performing a task in road work zones. An experiment with actual road construction workers was conducted using a virtual road construction environment. Workers' attention to repeatedly presented warning alarms was measured using eye-tracking sensors. In response to workers' frequent inattentive behaviors, a virtual accident was simulated. Results revealed a significant association between boredom susceptibility and workers' engagement in the virtual accident, a consequence of inattentiveness to warning alarms. The findings suggest that workers' personality traits predispose them to tune out warning alarms and become vulnerable to accidents in road work zones. The findings of this study can be used to develop targeted interventions aimed at preventing workers' inattention to repeatedly exposed workplace hazards, thereby contributing to reducing fatal accidents in road work zones.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.28-41
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• 2022

A road system with CV(Connected Vehicle)s, which is often referred to as a cooperative intelligent transportation system (C-ITS), provides various road information to drivers using an in-vehicle warning system. Road environments with CVs induce drivers to reduce their speed or change lanes to avoid potential risks downstream. Such avoidance maneuvers can be considered to improve driving behaviors from a traffic safety point of view. Thus, empirically evaluating how a given in-vehicle warning information affects driving behaviors, and monitoring of the correlation between them are essential tasks for traffic operators. To quantitatively evaluate the effect of in-vehicle warning information, this study develops a method to calculate compliance rate of drivers where two groups of speed profile before and after road information is provided are compared. In addition, conventional indexes (e.g., jerk and acceleration noise) to measure comfort of passengers are examined. Empirical tests are conducted by using PVD (Probe Vehicle Data) and DTG (Digital Tacho Graph) data to verify the individual effects of warning information based on C-ITS constructed in Seoul metropolitan area in South Korea. The results in this study shows that drivers tend to decelerate their speed as a response to the in-vehicle warning information. Meanwhile, the in-vehicle warning information helps drivers to improve the safety and comport of passengers.

• Transactions of the Korean Society of Automotive Engineers
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• v.7 no.5
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• pp.258-267
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• 1999

An intelligent safety vehicle(ISV) should have an ability to predict the possibility of an accident and help a driver avoid the accident in advance. The basic function of the ISV is to alert the driver by warning when the collision is to occur. For this purpose, the ISV has to function efficiently in sensing the environmental context. While image processing provides lane information, laser radar senses road obstacles including vehicles. By applying a simple clustering algorithm to radar signals, it is possible to obtain the vehicle information. Consequently, we can identify the existence of the vehicle of interest on my lane. The reliability of the sensing algorithm is evaluated by running on the highway with a test vehicle.