• 전자공학회논문지 IE
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• 제45권4호
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• pp.33-41
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• 2008

텔레매틱스 시스템의 기능 중 현실적으로 상품성 있는 기능으로 "차량 원격 진단 기능", "운전 패턴 분석 기능"이 있으며 이를 구현하기 위한 기술로는 차량 신호 인터페이스 기술, 자가 진단 인터페이스 기술, 가속도/자이로 센서 인터페이스 기술, PS 신호 처리 기술, 운전 패턴 분석 기술, 무선통신(CDMA) 처리 기술 등이 사용된다. 이러한 기술을 기반으로 본 논문에서는 차량 주행 중에 자각의 EMS(Engine Management System), TMS(Transmission Management System), ABS/TCS, A/BAG 능에서 진단된 차량의 이상 유무를 실시간으로 분석하고, 운전자 주행 패턴 및 차량 관리에 대한 사항을 점검하여 무선통신(CDMA)을 통해 정보센터로 전송하여 이를 DB화함으로써 효율적 차량 관리 및 운전자 관리가 가능하다. 본 연구는 이러한 차량 원격진단 및 운전 패턴 분석기능을 구현하는 H/W와 S/W를 설계 및 제작하고 실차 시험을 통해 이를 검증한다.

• 한국안전학회지
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• 제28권3호
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• pp.23-28
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• 2013

This study focuses on finding ways to derive train's optimal ECO driving pattern, which can improve the ride quality and reduce driving energy consumption with keeping the time interval between the stations. As research method, we compared difference of currently operating train's ATO and MCS driving patterns, and concentrated upon the things need to consider in simulation in order to improve the existing pattern of ATO driving pattern's issues with securing the train operation safety. Determining driving pattern minimizing energy consumption by controlling powering within speed limit and controlling switching to coasting at appropriate point considering the track conditions for each section, and determining braking control starting time considering ride comfort and precise stopping is considered to be most important.

• 인터넷정보학회논문지
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• 제11권4호
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• pp.59-72
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• 2010

WIM(Weigh-In-Motion) 시스템은 고속으로 이동 중인 차량의 무게를 측정하는 시스템이다. 기존의 WIM 시스템에서는 등속을 기준으로 차량의 무게를 측정하며 오차율이 10% 범위에 있다. 하지만 운전자의 가 감속 조작과 같은 비정상 주행패턴을 고려하고 있지 않으므로 실제 오차율은 더욱 크다. 이러한 오차를 최소화하기 위해서 비정상적인 주행패턴을 찾고 이를 적용한 개선된 WIM 시스템이 필요하다. 본 논문에서는 기존의 WIM 시스템의 오차율에 영향을 미치는 비정상 주행패턴을 분석하고 오차율을 최소화하는 개선된 WIM 시스템을 설계한다. 개선된 WIM 시스템은 기존의 시스템에 루프센서를 추가한 다단 루프 구조를 가진다. 또한 내부적으로 정의된 측정 함수를 개선하여 비정상 주행패턴별로 측정된 무게를 보정한다. 실험 분석 결과 개선된 WIM 시스템은 기존의 최대 평균 오차율 22.98% 에서 8% 미만으로 오차율이 감소한 사실을 알 수 있다.

• 전기학회논문지
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• 제63권3호
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• pp.431-436
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• 2014

In this paper, temperature change properties on the 210kW-class Interior Permanent Magnet Synchronous Motor (IPMSM) are performed with the cooling performance of a water cooling device through the thermal characteristic analysis of the IPMSM considering a real driving pattern of urban railway vehicles. First, the thermal analysis modeling of 210kW-class IPMSM, which is an alternative to the conventional induction motor, and its water cooling device is conducted. Next, the thermal characteristic analysis of the IPMSM considering a real driving pattern of urban railway vehicles is performed using 2-Dimensional FEM tool. Finally, the calculated characteristic results are analyzed. Consequently, it is confirmed that the internal temperature of the 210kW-class IPMSM may be lowered to about 42~52% by maintaining the coolant flow rate of the water cooling device (Cross sectional shape of the pipe has 220mm width and 10mm height) for 0.2kg/s level.

• 전기학회논문지P
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• 제61권3호
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• pp.129-133
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• 2012

As people are getting concerned to Environment recently, researches on the environmentally-friendly and effective railway system have been conducted in every aspects. Especially as it became known that the pattern of train driving causes the difference in energy consumption, the researches on the train driving to minimize the energy consumption are gaining a lot of interest. The main study showed the optimal driving to minimize energy consumption while driving after analyzing real driving data measured by EMU of Bundang-line real driving, determining the impact on energy consumption due to train driving pattern changes, executing a variety of simulation on real driving patterns by Matlab Simulink and finally driving between stations by given driving times.

• Journal of Information Processing Systems
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• 제13권2호
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• pp.285-304
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• 2017

Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.

• 한국ITS학회 논문지
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• 제23권1호
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• pp.182-196
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• 2024

자동차 보급과 교통 시설 발달로 인한 문제에 대응하여, ADAS와 같은 운전 보조 기술이 주목받고 있다. 최근에는 스마트폰 내장 센서를 사용한 운전패턴 분석 방법론이 개발되었다. 이 연구에서는 레이블 없이 대조학습을 통해 운전패턴의 특징을 학습하고 변화점을 감지하는 새로운 방법을 제안한다. 이 방법은 운전패턴 분류에도 확장 가능하여, 매우 적은 레이블링 데이터만으로 높은 분류 성능을 달성할 수 있음은 물론 적용 차량이 달라지는 도메인 변화 문제에 민감하게 반응하지 않아 일반화된 성능을 달성할 수 있다는 장점을 가지고 있다. 또한 본 연구에서는 추후 스마트폰 적용성을 고려하여 6가지 대표적인 경량화 딥러닝 모델에 대해 제안하는 방법을 적용하고 비교분석하여 추후 스마트폰 기반의 시스템 개발에 활용할 수 있도록 하였다.

• 한국대기환경학회지
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• 제29권6호
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• pp.734-744
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• 2013

In this study, the telematics device was installed on the car (OBD-II) to collect the information on the operation conditions from each sample vehicle. Based on the information the domestic driving pattern was analysed and the ratio of cold start length was estimated. As a result of analysis for driving pattern, we found a difference in the frequency of driving on the hourly or seasonal basis. Then, the driving pattern of the rush hours, weekdays, and weekends could be derived. Also, from the study, an average of 2.22 times per day occurred in a single trip and average driving distance for the trip was 15.72 km. In addition, the proportion of cold start length was analyzed to be 16.11%. The seasonal cold start length has big difference from season to season (Winter 26.63%, Summer 8.22%, Intermediate 12.65%). There was an inverse relationship between the outside temperature and ratio of cold start length. In order to improve the accuracy of the cold emission estimation, it is necessary to apply domestic ratio of cold start length that driving pattern and temperature in Korea is reflected.

• 자동차안전학회지
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• 제10권1호
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• pp.38-44
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• 2018

This paper presents an analysis on driving safety in lane change situation based on road driving data. Autonomous driving is a global trend in vehicle industry. LKAS technologies are already applied in commercial vehicle and researches about lane change maneuver have been actively studied. In autonomous vehicle, not only safety control issue but also imitating human driving maneuver is important. Driving data analysis in lane change situation has been usually dealt with ego vehicle information such as longitudinal acceleration, yaw rate, and steering angle. For this reason, developing safety index according to surrounding vehicle information based on human driving data is needed. In this research, driving data is collected from perception module using LIDAR, radar and RT-GPS sensors. By analyzing human driving pattern in lane change maneuver, safety index that considers both ego vehicle and surrounding vehicle state by using relative velocity and longitudinal clearance has been designed.

• 한국기계가공학회지
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• 제18권10호
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• pp.8-19
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• 2019

In this study, the spray pattern of a centrifugal fertilizer distributor with two shutter holes was analyzed and an effective driving width that satisfies proper spray uniformity was derived. The centrifugal fertilizer distributor was mounted on a tractor with a rated power of 23.7 kW and static and dynamic spray pattern tests were performed according to the standard procedure proposed by the American Society of Agricultural and Biological Engineers Standard ASAE S341.5. The height of the fertilizer distributor was 80 cm from the ground and the PTO (power take-off) shaft speed of the tractor was fixed at 540 rpm. The fertilizer scattered in space was collected using 275 evenly spaced collectors at shutter opening ratios of 25%, 50%, 75%, and 100%. The spray pattern was analyzed via the amount of sprayed fertilizer at each collector location and the coefficient of variation was used as an indicator of spray uniformity. Using the analyzed spray pattern, the effective driving width that satisfied less than 15% of the coefficient of variation was derived for different tractor driving patterns (race track mode, back and forth mode). From the results, spray uniformity increased as the shutter opening ratio decreased. The largest effective driving width was 8 m at a shutter opening ratio of 25% for both driving patterns.