• Korean Journal of Culture and Social Issue
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• v.17 no.3
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• pp.321-341
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• 2011

This study examines how anonymity between drivers affects aggressive driving and why, in an anonymous situation, some drive aggressively and others do not. Two surveys were conducted. The first survey covered 200 participants and found that people are more likely to drive aggressively in an anonymous situation than in a face-to-face situation. The second survey covered 384 participants with a history of aggressive driving and found that these aggressive drivers could be classified into three groups using a two-step cluster analysis. Drivers who often exhibit aggressive driving in anonymous situations were found in the second questionnaire to have a high tendency towards driving anger and towards ambivalence over emotional expressiveness. The tendency towards self-defensive ambivalence factor, one of the factors in the ambivalence over emotional expressiveness questionnaire, was also found to be high. Individuals who tended to drive aggressively in an anonymous situation were found to be susceptible to driving anger, usually faced ambivalence over emotional expressiveness, and typically were indecisive. The results of this study suggest that rather than intensifying the enforcement of traffic regulations, a better remedy for those who drive recklessly would be to have them undertake some candid self-reflection.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.98-112
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• 2018

Intentional aggressive driving (IAD) is a very dangerous driving behavior that threatens to attack the adjacent vehicles. Most existing studies have focused on the independent driving characteristics of attack drivers. However, the identification of interactions between the offender and the victim is necessary for the traffic safety analysis. This study established multi-agent driving simulation environments to systematically analyze vehicle interactions in terms of traffic safety. Time-to-collision (TTC) was adopted to quantify vehicle interactions in terms of traffic safety. In addition, a exponential decay function was further applied to compare the overall pattern of change in crash potentials when IAD events occurred. The outcome of this study would be useful in developing policy-making activities to enhance traffic safety by reducing dangerous driving events including intentional aggressive driving.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.5
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• pp.8-13
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• 2020

In this paper, the electric vehicle (EV) and internal combustion engine vehicle (ICEV) are compared for different driving cases. The EV exhibits a lower powertrain efficiency when driven on the aggressive driving cycle than when driven on the moderate cycle. In particular, EV powertrain efficiency is low when the battery state of charge (SOC) is low, but ICEV efficiency increases when the driving cycle changes from the moderate cycle to the aggressive cycle. Based on these results, attempts can be made to increase EV powertrain efficiency. EV charging before the battery power drops to a low charging state can reduce energy consumption by 2.7% for an urban area. Furthermore, ECO driving has a more significant effect on EVs than on ICEVs.

• Journal of Auto-vehicle Safety Association
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• v.15 no.2
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• pp.21-27
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• 2023

This paper presents a simulation tool for developing and evaluating automated driving systems' lane change algorithm in urban congested traffic. The behavior of surrounding vehicles was modeled based on driver driving data measured in urban congested traffic. Surrounding vehicles are divided into aggressive vehicles and non-aggressive vehicles. The degree of aggressiveness is determined according to the lateral position to initiate interaction with the vehicle in the next lane. In addition, the desired velocity and desired time gap of each vehicle are all randomly assigned. The simulation was conducted by reflecting the cognitive limitations and control performance of the autonomous vehicle. It was possible to confirm the change in the lane change performance according to the variation of the lane change decision algorithm.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.277-286
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• 2007

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.147-159
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• 2023

In order to make autonomous vehicles more trustworthy, it is necessary to focus on the users of autonomous vehicles. By evaluating the preferences for driving behaviors of autonomous vehicles, we aim to identify driving behaviors that increase the acceptance of users in autonomous vehicles. We implemented two driving behaviors, aggressive and cautious, in a driving simulator and allowed users to experience them. Biometric data was collected during the ride, and pre- and post-riding surveys were conducted. Subjects were categorized into two groups based on their driving habits and analyzed against the collected biometric data. Both aggressive and cautious driving subjects preferred the cautious driving behavior of autonomous vehicles.

• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.61-74
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• 2005

This study is to investigate the effects of driving anger and traffic congestion on drivers' behaviors. Driving anger is the propensity to become angry while driving, and people differ in the tendency to get angry when encountering frustration and provocation on the road. Individual differences of the propensity contribute to anger on the road and aggressive driving leading traffic vaiolations and accidents. In the experiment three traffic conditions (an open road condition, a bumper-to-bumper traffic condition and a being stuck behind a slower driver condition) were simulated and driving behaviors were collected with RTSA-DS(Road Traffic Safety Authority-Driving Simulator). The results were as follows: Most of high anger drives drove at higher speeds in an open road condition, and in the bumper-to-bumper condition they drove faster and had an higher crash rate, which suggests they did aggressive driving, and risky and unsafe behaviors.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.145-146
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• 2016

최근 무모한 운전으로 인해 운전자들 간의 난폭운전 및 보복운전이 증가하고 있다. 이러한 사회적 문제가 부각됨에 따라 "도로교통법"상 난폭운전에 관한 처벌 규정이 2016년 2월부터 시행되고 있다. 그럼에도 불구하고 여전히 계속해서 난폭운전이 증가하고 있는데, 그 원인을 분석하고 난폭운전의 정의 및 기준을 명확히 설정해야 법적안정성을 확보할 수 있을 것이다. 특히, 처벌규정에 있어서도 문제점이 무엇인지 검토하고 이에 대한 개선방안 및 예방대책을 모색할 필요가 있다.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.1
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• pp.92-98
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• 2013

There are lots of studies about hybrid electric vehicles (HEVs) because of the global warming and energy problems. Series and parallel HEVs are the common types of many developing hybrid vehicle types. Series HEV uses engine only as the generator for the battery but parallel HEV utilizes engine for driving and generating of the vehicle. In this paper, backward simulations based on dynamic programming were conducted for the fuel economy analysis of two different types of hybrid transit buses depending on driving cycles. It is shown that there is a relation between the type of HEV and the characteristics of driving cycles. Regarding the aggressiveness, the series hybrid bus is more efficient than the parallel system on highly aggressive driving cycle. On the other hand, the parallel hybrid bus is more efficient than the series system on low aggressive driving cycle. Based on this results of the paper, it is expected to choose more efficient type of the hybrid buses according to the driving cycle.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.358-367
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• 2007