ScholarWorks@Hanyang University ERICA Campus: OH, CHEOL

Detailed Information

OH, CHEOL (오철)

ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)

Research Area

Tel 031-400-5158
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Keyword

교통안전:16||traffic safety:14||Traffic Safety:12||Traffic safety:11||Vehicle Trajectory:8||VISSIM:8||공사구간:6||이항 로지스틱 회귀분석:6||driving behavior:6||경고정보:6||주행 시뮬레이션:6||무선통신:5||유비쿼터스:5||binary logistic regression:5||freeway:5||driving simulator:5||Vehicle emissions:5||충돌속도:5||순서형 프로빗 모형:5||Variable Message Sign(VMS):4||driving simulation:4||warning information:4||교통정보:4||probe vehicle:4||Legibility Distance:4||NASATLX:4||군집주행:4||MOVES:4||ordered probit model:4||가변전광표지:4||가변제한속도:4||simulation:4||Microscopic traffic simulation:4||운전자 반응특성:4||주행시뮬레이션:4||분산분석:4||교통상충:4||AHP:3||Ordered Probit Model:3||Warning Information:3||CITS:3||ANOVA test:3||Traffic Information:3||고속도로:3||Speed:3||주행행태:3||Driving Behavior:3||kansei engineering:3||Work Zone:3||로지스틱 회귀분석:3||safety benefits:3||Driving Simulator:3||delineator:3||multicriteria decision making:3||Driving behavior:3||위험운전:3||Variable Message Signs:3||Safety:3||drowsy driving:3||Variable Speed Limit:3||accident likelihood:3||Traffic control:3||프로브자전거:3||Driving simulation:3||Timetocollision:3||교통안전성:3||Traffic simulation:3||Novice Driver:3||주행궤적:3||교통사고 심각도:3||micro traffic simulation:3||Vehicle Image Tracking:3||Intelligent Transport Systems:3||Safety Evaluation:3||work zone:3||미시교통시뮬레이션:3||Individual vehicle trajectory:3||구간통행시간:3||자동비상제동장치:3||correlation analysis:3||elderly driver:3||개별차량 주행궤적:3||Human Factor:3||Crash potential index:3||공격운전:3||vehicle interaction:2||UIS:2||message reading time:2||Differential Global Positioning Systems:2||vehicle reidentification:2||crash severity:2||minimum stopping distance:2||mixed clustering:2||vissim:2||mixed traffic:2||유전알고리즘:2||Parameter:2||Paramics:2||Safety benefits:2||의사결정나무:2||zigzag driving:2||이동평균법:2||Crash potential:2||Pattern Recognition:2||이용자 만족도:2||이용자 선호도:2||multiagent:2||Selected Traffic Information:2||multiagent driving simulator:2||인공신경망:2||multiagent simulations:2||감성공학:2||강우수준:2||Legibility:2||검지기:2||자세정보:2||자율주행:2||multiple comparisons:2||decision tree:2||계층화분석법:2||자율협력주행:2||고령운전자:2||자전거:2||자전거 모니터링:2||VMS:2||자전거 주행특성:2||자전거 주행환경:2||Factors Related Drivers:2||자전거속도:2||operation strategy:2||작업부하:2||공공보건:2||적응형순항제어장치:2||VTMICRO Model:2||관성센서:2||Linear Regression:2||drivers&apos:2||driver’s pattern:2||교통류 시뮬레이션:2||pedestrian injury severity:2||교통사고:2||Variable message signs:2||주행안전성:2||주행쾌적성:2||주행패턴:2||Speed Control System:2||Link travel time:2||지능형교통체계:2||교통상충분석:2||Speed management:2||차내 보행자 충돌 경고정보시스템:2||CCI:2||Standard Deviation:2||교통안전지표:2||교통안전효과:2||교통예측:2||Vehicle trajectory data:2||proactive traffic safety management:2||교통운영관리:2||차량이미지추적:2||차량자기신호:2||probabilistic neural network:2||Pedestrianvehicle Crash:2||VehicletoVehicle Communication:2||Vehicles:2||Crash risk:2||public health:2||차선이탈경고장치:2||quantification theory typeⅠ model:2||rain intensity:2||첨단안전차량:2||군집분석:2||초보운전자:2||random forest:2||Stopandgo:2||AVI:2||Warning information:2||relative evaluation by baseline (REB):2||Accident rate:2||택시:2||Wireless Communication Traffic Surveillance Environment:2||Workload:2||통행시간:2||road alignment:2||판독거리:2||도로 기상정보 수집시스템:2||acceleration noise:2||accelerometer:2||평면선형인식:2||도로기하구조:2||road weather information system (RWIS):2||Car Following and Lane Changing:2||Probe Bicycle:2||TTC:2||s preference:2||혼합 클러스터링:2||혼합가중치:2||돌발상황:2||adaptive cruise control:2||화물차 군집주행:2||s satisfaction:2||safety:2||gyro sensor:2||루프검지기:2||hazardous driving:2||Bicycling environments:2||매개변수:2||후미추돌 위험도:2||Micro Simulation:2||Accidents:2||메타분석:2||aggressive driving behavior:2||미시교통류시뮬레이션:2||semantic differential method:2||Traffic Accident Injury Severity:2||Traffic Conflict:2||artifitial neural network (ANN):2||Intelligent Transportation Systems:2||Realtime Traffic Information:2||Rearend Collision Risk:2||Rearend Crash:2||automated vehicle platooning:2||image analysis:2||Rearend crash:2||Microscopic traffic simulator:2||invehicle pedestrian warning systems:2||보행자 사망확률모형:2||보행자 상해심각도:2||보행자 안전:2||DGPS:2||보행자차량 충돌사고:2||support vector machine:2||Intelligent vehicle highway systems:2||inductive vehicle signature:2||본질적 기저요인:2||survey:2||Reference Vehicle:2||GPS/INS센서:2||사고 심각도:2||taxi:2||bicycle speed:2||injury severity:2||bicycles:2||Binary Logistic Regression(BLR):2||time to collision:2||사고율:2||traffic conflict:2||Mobility:2||interchange spacing:2||Traffic crashes:2||Intervehicle safety warning system (ISWS):2||intrinsic characteristics:2||상관분석:2||Data Imputation:2||jerk:2||Traffic management:2||Risk estimation:2||서포트 벡터 머신:2||traffic operations:2||traffic prediction:2||선형회귀분석:2||설문조사:2||속도:2||Algorithm:2||climbing lane:2||Kalman Filtering:2||traffic safety policy:2||traffic safety warning information:2||시뮬레이션:2||Traffic surveillance systems:2||collision speed:2||lateral safety:2||commercial vehicle safety management system:2||travel speed:2||심층면담조사:2||Accident Severity:2||Analytical models:2||link travel time:2||LSTM:2||truck platooning:2||Lane Changing Model:2||Travel time:2||Accident Severity Prediction Model:2||알고리즘:2||API:2||user&apos:2||machine learning:2||variable speed limit (VSL):2||운수안전경영시스템:2||vehicle detection system (VDS):2||운수종사자 유형:2||vehicle emission:2||Countermeasure:2||crash potential index:2||Tunnel:1||TwoWay Work Zone:1||UVS:1||Ubiquitous:1||Ubiquitous Transportation:1||Unsafe Driving:1||User Perception:1||User Preference:1||V2V(vehivle to vehicle) communication:1||V2X wireless communication:1||V2X 무선통신:1||VANET:1||VARIABLESPEED LIMITS:1||VISTRO:1||VMS message:1||VMS 메시지:1||VSL(가변속도제한):1||Variable Message Sign:1||Vehicle classification:1||Vehicle reidentification:1||Vehicle safety information:1||Vehicle safety regulation:1||Vehicle trajectory:1||VehicleInfrastructure Integration:1||Video Image Tracking:1||Visibility:1||Voice Alarm:1||Vulnerable Road Users(VRUs):1||WIM:1||Weight:1||Weighted Regression(LWR):1||Wireless Communication:1||abnormal trajectory:1||acceleration lane length:1||accident rate:1||accident reconstruction:1||accident severity:1||active hood lift system:1||advance warning area:1||advanced driver assistant systems:1||advanced vehicular technology:1||adverse weather condition:1||aggressive driving:1||air pollution exposure:1||archived data:1||artificial neural network:1||attitude information:1||automated driving aggressiveness:1||automated driving environments:1||automated vehicle:1||automated vehicles:1||automatic emergency braking system:1||autonomous driving:1||autonomous emergency braking system (AEBS):1||autonomous vehicle:1||bicycle:1||bicycle passing way:1||bicycle roll angle:1||bikeBox:1||bikeways:1||binary logistic regression model:1||bus driver wellness:1||carfollowing:1||carfollowing behavior:1||carfollowing situation:1||chevron marking:1||chicane:1||city bus driver:1||cluster analysis:1||clusterbased crash severity:1||clusterspecific features:1||clustering:1||commercial vehicle:1||comparative model study:1||compliance rate:1||conflict rate:1||connected environment:1||connected vehicle:1||connected vehicles:1||control delay:1||cooperative automated driving:1||cooperativeintelligent transport systems:1||costeffective:1||crash potential:1||crash prone road segments detection model:1||crash risk:1||crush extent:1||customized safety education:1||cycling comfortability index(CCI):1||cycling environment:1||cycling stability:1||cyclist injury:1||cyclist safety improvement:1||data correction:1||data evaluation:1||data processing:1||data quality:1||delivery scooter:1||delivery scooters:1||digital simulation:1||digital tachograph:1||driver:1||driver behavior:1||driver workload:1||driver&apos:1||drivers' workload:1||driver’s reaction behavior:1||driving behaviour:1||driving big data:1||driving intervention:1||driving patter:1||driving pattern:1||driving safety indicator:1||driving safety indicators:1||driving simulator experiments:1||drivingtraffic simulation:1||drunk driving:1||duration:1||effect analysis of safety device:1||effect size:1||eighting value:1||elderly drivers:1||electroencephalogram:1||enactment of a law:1||ensemble learner:1||environment and health impacts:1||environmental conditions:1||experimental evaluation:1||factor 한국도로학회:1||feature vector:1||field:1||filtering:1||fog:1||fog intensity:1||freeflow speed:1||freeway capacity:1||freeway offramp:1||genetic algorithm:1||genetic algorithm (GA):1||geometric complexness:1||geometric conditions:1||global positioning system (GPS):1||gradient boosting method:1||hazardous section:1||hazardous traffic conditions:1||hazards:1||heavy vehicle:1||heuristic algorithm:1||hierarchical model:1||highrisk event detection:1||highspeed condition:1||highspeed driving:1||highvisibility safety clothing:1||highway capacity manual:1||highway safety:1||horizontal alignment:1||human factor:1||human factors:1||human factors in vehicle automation:1||imputation:1||indepth interviews:1||invehicle warning service:1||invehicle warning system:1||invehicle 기반 시스템:1||inductive wave forms:1||influencing factors:1||infra 기반 시스템:1||integrated crash risk:1||integrated simulations approach evaluation method:1||intelligent transportation systems:1||intelligent transportation systems (ITS):1||intentional aggressive driving:1||internal factors:1||intersection safety:1||intrinsic factor:1||joint merge:1||k nearest neighbors:1||labeling:1||lane change assistant:1||lane change behavior:1||lane change behaviour:1||lane change characteristics:1||lane change safety issues:1||lane control system:1||lane departure warning system:1||lateral driving safety:1||level of service:1||lexicographic optimization:1||linear regression:1||local agencies:1||local government types:1||locally weighted regression (LWR):1||logistic regression:1||longterm prediction:1||loop detector:1||loop detectors:1||mandatory to wear:1||manual vehicle:1||manually driven vehicles:1||marginal effect:1||merge methods:1||metaanalysis:1||microscopic simulation:1||mixed flow:1||mixed traffic flow:1||mixed weighting values:1||mobile robots:1||motorcycle countermeasures:1||moving average:1||mpr(market penetration rate):1||multi agent driving simulation:1||multiagent driving simulation:1||multidirectional:1||multinomial logit model:1||multiplecriteria decision making:1||multivariate adaptive regression splines:1||naturalistic riding data:1||novel traffic operations strategies:1||occupational driver:1||operator behavior:1||ordered logit model:1||ordered probit models:1||ordered probit regression:1||outlier detection:1||pavement marking:1||pavement marking design:1||pedestrian accident:1||pedestrian fatality model:1||pedestrian safety:1||pedestrian walking trajectory:1||pedestrianvehicle accident:1||pedestrianvehicle collision:1||pedestrians:1||platoon:1||platooning parameters:1||policies:1||prediction:1||predictive travel time:1||prioritizing and specifying strategies:1||priority:1||proactive traffic management strategy:1||proactive traffic safety:1||probability of rearend crash:1||probability of seriously injured:1||probe bicycle:1||promising segment:1||proper gap identification:1||questionnaire survey:1||rate of runoff the lane:1||rearend collision:1||reconstruction Model:1||regional traffic safety audit:1||regression analysis:1||reinforcement learning:1||rider safety:1||riding safety monitoring:1||risk analysis:1||risk factors:1||risky riding characteristics:1||risky riding event:1||road safety:1||road safety evaluation method:1||road traffic:1||road user measurement and evaluation:1||road vehicles:1||road weather information system:1||roadside worker:1||roundabout:1||s Responsive Behavior:1||s reaction behavior:1||safety &:1||safety evaluation:1||safety indicators:1||safety performance:1||safety project and program implementation:1||safety promotion:1||safety property analysis:1||safety vulnerable sections:1||simulator studies:1||single loop detector:1||smart phone:1||smoothing:1||snowfall:1||spatiotemporal analysis:1||speed:1||speed hump:1||speed limit change:1||speed management strategies:1||speed reduction:1||speed variation:1||steering magnitude:1||steering velocity:1||stopping sight distance:1||superhighway:1||surrogate safety assessment model (SSAM):1||surrogate safety measures(SSM):1||ttest:1||targeted strategies:1||taxi companies:1||taxi safety:1||temperature:1||time to avoid crash:1||traffic accident:1||traffic calming measures:1||traffic data:1||traffic data management:1||traffic data quality:1||traffic engineering:1||traffic engineering computing:1||traffic information:1||traffic management of work zones:1||traffic operation and management:1||traffic operational efficiency:1||traffic operational index:1||ADAS:1||traffic safety culture indexes:1||traffic safety indicator:1||traffic safety issues:1||traffic safety monitoring:1||traffic sign:1||traffic simulation:1||traffic surveillance:1||traffic warning messages:1||transport management:1||transportation management center:1||travel speed prediction:1||travel time estimation:1||travel times:1||truck crashes:1||truck traffic operations:1||unsafe driving:1||unsafe driving index:1||unstable traffic flow:1||user preference:1||user satisfaction:1||value function:1||variable speed limit:1||vehicle classification:1||vehicle emissions:1||vehicle feature:1||vehicle interactions:1||vehicle length:1||vehicle platooning:1||vehicle platooning environments:1||vehicle simulation:1||vehicle speed:1||vehicle trajectory data:1||visibility distance:1||wavelet transform:1||wireless communication:1||work zone historical data:1||working and welfare environment:1||workload:1||yaw rate:1||가변속도제한시스템(VSL):1||가상주행시뮬레이터:1||가속도센서:1||가속소음:1||가속차로 길이:1||가중치:1||갈매기 노면표시:1||검지 시스템:1||결측치 보정:1||경고정보제공:1||경고정보제공 시스템:1||고령 운전자:1||고속도로 교통사고:1||고속도로 용량:1||고속도로 이동공사:1||고속축중기:1||고시인성 안전의복:1||공사장 교통관리구간:1||공사장 이력자료:1||과속방지턱:1||교대통행 공사구간:1||교차로 주행안전성:1||교통 시뮬레이션:1||교통 안전성:1||교통 운영성:1||교통관리센터:1||교통류관리전략:1||교통분진:1||교통사고 상해심각도:1||교통사고 예방:1||교통사고발생 개연성:1||교통사고심각도:1||교통사고유형:1||교통사고자료 분석:1||교통안전 경고정보:1||교통안전 대체 평가 모델:1||교통안전 모니터링:1||교통안전 효과분석:1||교통안전정책:1||교통안전표지:1||교통우회:1||교통운영:1||교통운영효율성:1||교통자료:1||교통자료관리:1||교통자료품질:1||교통정보수집체계:1||교통정보시스템:1||교통정온화기법:1||교통제어:1||구간 선정:1||구간대표통행시간:1||국소가중다항회귀분석:1||군집주행 파라미터:1||근무복지환경:1||내면적 요인:1||내재적 사고요인:1||노면표시:1||능동형차량제어시스템:1||다기준 의사결정:1||다기준의사결정론:1||다리기준:1||다중연동 도로주행 시뮬레이션:1||다중회귀분석:1||단일루프검지기:1||대기오염 노출:1||대응책:1||데이터베이스:1||델리네이터:1||도로 공사구간:1||도로 위험 구간 식별 모델:1||도로기상정보시스템(RWIS):1||도로기상조건:1||도로변 작업자:1||도로안전성 평가 방안:1||도로안전정보:1||도로위험구간:1||도로전광표지:1||도로환경:1||동적운영기준:1||라이더 안전:1||랜덤포레스트:1||레이블링:1||루프 검지기:1||마이크로 시뮬레이션:1||맞춤안전교육:1||머신러닝:1||멀티 에이전트 주행시뮬레이터:1||모니터링:1||모형비교:1||무선통신기반 교통정보수집:1||미시적 교통시뮬레이터:1||미시적시뮬레이션:1||배달 이륜차:1||배회 궤적:1||법인택시 교통안전:1||법인택시 안전복지 실태조사:1||법인택시 운수업체:1||법제정:1||베이지안 신경망:1||보행 궤적:1||보행자:1||보행자 다리:1||보행자 보호:1||보행자 보호 시스템:1||보행자 사고:1||보행자 사망모형:1||보행자차량 교통사고:1||보행자차량 사고:1||보행자사고:1||보행자사망확률:1||보행자안전:1||비자율차:1||사각지역감시장치:1||사고 발생 개연성:1||사고 위험도:1||사고발생 가능성:1||사고발생가능성:1||사고빈도:1||사고빈도모형:1||사고심각도:1||사고심각도 예측모형:1||사고재현:1||사고회피시간:1||사망자수 감소 효과:1||사업용 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patterns:1||AHP(Analytic hierarchy process):1||ANOVA:1||ANOVA TEST:1||ANOVA Test:1||AV:1||Acceleration noise:1||Accident Frequency:1||Accident Frequency Model:1||Accident Likelihood:1||Accident Prevention:1||Accident Type:1||Accident frequency:1||Accident prevention:1||Active Hood Lift System:1||Active safety:1||Active vehicle safety systems:1||Adaptive Cruise Control(ACC):1||Advanced Safety Vehicle:1||Aggressive driving:1||Air quality:1||Alcohol and cannabis:1||Analytic Hierarchy Process:1||Analytic Hierarchy Process(AHP):1||Automated driving aggressiveness:1||Automated driving systems:1||Automated vehicle:1||Automatic Emergency Braking System(AEBS):1||Automatic crash information notification system (ACINS):1||Autonomous SelfEstimation:1||Autonomous driving:1||BLR(Binary Logistic Regression):1||Bayesian analysis:1||Bayesian modeling:1||Behavioral sciences:1||Bicycle:1||Bicycle Monitoring:1||Bicycle speed data:1||Bicycle traffic monitoring:1||Binary Logistic Regression:1||Binary logistic regression:1||Binary logistic regression (BLR):1||Binary logistic regression model:1||Binary logistic regression(이항 로지스틱 회귀분석):1||Blind Spot Detection System(BSDS):1||Brake assistance system:1||CCR(Correct Classification Rate):1||CORSIM:1||CRP:1||Classification:1||Classification tree:1||Collision speed:1||Commercial vehicle:1||Conflict:1||Connected vehicle:1||Connected vehicle systems:1||Contributing factors:1||Cooperativeintelligent transportation systems (CITS) br:1||Costeffective:1||Crash response time:1||Crash severity:1||Curbs height:1||Curbs slope:1||Cycling Environment Evaluation:1||Cycling Safety:1||Cycling safety:1||Data Filtering:1||Data Processing:1||Data corrections:1||Data mining:1||Database:1||Decision tree:1||Detection system:1||Differencial Global Positioning System:1||Differential Global Positioning System:1||Directional Sound Speaker:1||Driver:1||Driver brain activity:1||Driver decisionmaking:1||Driver&apos:1||Driver’s behavior:1||Driver’s responsive 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system:1||Indexes:1||Inductive Vehicle Signature:1||Inductive loop detector:1||Information management:1||Information unit:1||Injury Severity:1||Injury prediction model:1||Injury severities:1||Injury severity:1||Injury severity prediction:1||Instrumented probe bicycle:1||Intelligent systems:1||Intentional aggressive driving:1||Intervehicle safety warning information system:1||Interactions:1||Joint Merge:1||Korean InDepth Accident Study database (KIDAS):1||Kriging analysis:1||LOVE4:1||Lane Departure Warning System:1||Lane Departure Warning System(LDWS):1||Lane change:1||Lane change model:1||Lanechanging model:1||Latent class cluster:1||Leg injury severity(다리 상해 심각도):1||LiDAR sensors:1||Light conditions:1||Locally:1||Locally weighted regression:1||Logit model:1||Loop Detector:1||MODELS:1||MV:1||Machine learning:1||Magnetoencephalography (MEG):1||Manual vehicle:1||Market Penetration Rate:1||Market penetration rate:1||Message Reading Time:1||Meta－analysis:1||Micro traffic simulation:1||Microscopic traffic simulations:1||Microscopy:1||Mixed traffic stream:1||MixedWeight:1||Mobile work zone:1||Monitoring:1||Multiagent driving simulation:1||Multicriteria Decision Making:1||Multicriteria Decision Making Method:1||NETWORKS:1||NGSIM:1||Negative Binomial Regression:1||Negative binomial models:1||Neuroimaging:1||Optimal Control,:1||Optimization:1||Optimization procedure:1||Outlier Correction:1||Overloading Enforcement System:1||Passenger mobility:1||Passive safety:1||Pedestrain leg:1||Pedestrian:1||Pedestrian accident(보행자 사고):1||Pedestrian accidents:1||Pedestrian airbag:1||Pedestrian safety enhancement:1||Pedestrian safety(보행자 안전):1||Pedestrianvehicle collision:1||Platooing driving:1||Policy decision making:1||Policy implications:1||Portable Variable Message:1||Portable Variable Message Signs:1||Positive Guidance:1||Precursor:1||Predictive travel time:1||Probability Density Function:1||Probability density functions:1||Probe Vehicle Survey:1||Probe vehicle survey:1||Public bicycle:1||Random forest method:1||Random parameter models:1||Reading time:1||Rearend crash risks:1||Recognition rate:1||Recognition response time:1||Regression Modeling:1||Regression analysis:1||Regulation for pedestrain:1||Riding characteristics:1||Risk:1||Risk map:1||Risk minimization:1||Risky riding event:1||Road geometrics:1||Road risk monitoring:1||Road safety information:1||Road sign:1||Road weather conditions 화물차 사고:1||Roads:1||SAFETY:1||SDI:1||SDI(Safety Distance Index):1||SSAM:1||SSM(Surrogate Safety Measure):1||SYNCHRO:1||Safety Index:1||Safety analysis framework:1||Safety improvement:1||Seatbelt:1||Secondary task:1||Sign:1||Simulated driving:1||Spacing:1||Spatial analysis:1||Speed Control:1||Speed control:1||Speed variations:1||Statistical Quality Control(SQC):1||Statistical techniques:1||Statistics:1||Stopping distance index:1||Strategic policies:1||Suitability of AV maneuvers:1||Supplemental rest area:1||Support Vector Machine:1||Support Vector Machine (SVM):1||Support vector machine:1||Survey:1||TRAFFIC FLOW:1||TRANSYT7F:1||Taxi crashes:1||Time exposed timetocollision:1||TimetoCollision:1||Traffic  safety:1||Traffic Accident:1||Traffic Conflict Analysis:1||Traffic Control:1||Traffic Diversion:1||Traffic Flow:1||Traffic Information System:1||Traffic Operations:1||Traffic Simulation:1||Traffic accident:1||Traffic accidents:1||Traffic calming:1||Traffic con:1||Traffic crash analysis:1||Traffic data:1||Traffic information system:1||Traffic operations strategy:1||Traffic safety benefit:1||Traffic surveillance:1||Trafficrelated air pollution exposure area:1||Trafficrelated public health:1||Transportation demand analysis:1||Transportation emissions reduction:1||Transportation system efficiency:1||Travel Speed:1||Travel Time:1||Travel time saving:1||Truck accident:1||Truck platooning:1||

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