• Title/Summary/Keyword: Traffic accident characteristics

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Forecasting of Probability of Accident by Analizing the Traffic Accident Data : Main Intersections on Arterial Roads in Busan (교통사고 데이터분석을 통한 교통사고 위험도 산정 : 부산시 주간선도로 주요교차로를 대상으로)

  • Jung, Kun Young;Bae, Sang Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.1
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    • pp.111-117
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    • 2017
  • The purpose of forecasting the traffic accident is to reduce the traffic accident. Therefore, the goal of this study is to provide severity of the accident by Forecasting of Probability of Accident. In Korea, accident data are distributed to the public via internet that includes numbers of accident and fatality as well. And crude level of accident severity in accordance with weather information for metropolitan city level are available by weekly. However, It can not reflect personal needs at specific origin of the travel for a certain traveller. This study aims to consider 68 major intersections with precipitation data, and eventually introduces link based accident severity. In estimating the accident severity both dynamic data such as drivers' characteristics, driving conditions and static data such as geometry of road, intersection characteristics are considered. Also, we identifies accident severity according to the accident type - 'vehicle to vehicle,' 'vehicle to person.' Finally, the outcomes of this study suggests taylor-made accident severity information for a specific traveller for a certain route.

A clinical analysis of Admission Patients in Korean Medicine Hospital due to Traffic Accident (교통사고로 한방병원에 입원한 환자에 대한 후향적 분석 - 일개 한방병원을 중심으로)

  • Jo, Min Gun;Ahn, Hun Mo;Na, Sam Sik
    • Journal of Korean Medical Ki-Gong Academy
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    • v.17 no.1
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    • pp.109-126
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    • 2017
  • Objectives : The purpose of this study was to investigate the characteristics of inpatients who were admitted to Korean medicine hospital due to traffic accident. Methods : We analyzed statistical study in 137 patients, who had admitted to M korean medicine hospital, in Gimpo city, Gyeonggi Province from January 1st, 2017 to June 31th, 2017 according to medical charts. Results : 1. In distribution according to age and sex, people in their 50s numbered the most. The 137 inpatients comprised of male (46.0%) and female (54.0%). 2. In distribution according to types of accident, Rear-end collision accident numbered the most (34.3%), followed by Frontal collision (21.2%) and Lateral collision (14.6%). 3. In distribution according to duration of treatment, most (54.7%) patients discharged within 1 week, followed by 1 week to 2 weeks(37.2%) 4. In distribution according to mean elevation of symptoms, Neck pain was the most (75.9%) symptom, followed by Low back pain (67.2%), Shoulder pain (46.0%) and Headache (37.2%). 5. In distribution according to treatment results, symptom improvement was the most (62.8%), followed by excellent (19.7%), mild improvement (14.6%). 6. In distribution according to duration of treatment, Most frequently prescribed herbal decoction was Tongdosan (45.7%), followed by Dangguijakyaksangagam (29.6%), and most frequently prescribed extract powder was Yunkyopaedocksan and Ojeoksan (12.7%). Conclusions : This study shows that aftereffects from the traffic accident tend to occur with various symptoms in various age groups. Korean medicine treatments are effective in patient who were admitted to Korean medicine hospital due to traffic accident.

Developing the Traffic Accident Models by the Function of Arterial Link Sections in the Case of Cheongju (간선도로 기능별 교통사고모형 개발 - 청주시를 사례로 -)

  • Kim, Jin-Sun;Kim, Tae-Young;Kim, Kyung-Hwan;Park, Byung-Ho
    • International Journal of Highway Engineering
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    • v.13 no.1
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    • pp.49-57
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    • 2011
  • This study deals with the traffic accident of arterial link sections in the case of Cheongju. The purpose of the study is to develop the traffic accident model by the function of arterial links. In pursuing the above, this study gives particular attentions to developing the appropriate models using the accident data of main and minor arterial roads divided by 472 small link sections. The main results analyzed are as follows. First, as the t test on the accident characteristics of main and minor arterial roads shows that there are differences in the number of accident and EPDO(equivalent property damage only) between two roads, the development of models by function is analyzed to be appropriate. Second, it is analyzed that ZINB models are all statistically suitable to the number of accident and EPDO of main arterial roads. Third, the analysis shows that EPDOs of minor arterial roads fit to ZINB, and the number of the accident fit to ZIP model. Finally, the common variables of main arterial roads are evaluated to be the traffic volume and the number of inflection point, and those of minor be the average grade.

Development of the U-turn Accident Model at 4-Legged Signalized Intersections in Urban Areas (도시부 4지 신호교차로 유턴 사고모형 개발)

  • Kang, JongHo;Kim, KyungWhan;Ha, ManBok;Kim, SeongMun
    • International Journal of Highway Engineering
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    • v.16 no.2
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    • pp.119-129
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    • 2014
  • PURPOSES : The purpose of this study is to develop the U-turn accident model at 4-legged signalized intersections in urban areas. METHODS : In order to analyze the characteristics of the accidents which are associated with U-turn operation at 4-legged signalized intersections in urban areas and develop an U-turn accident model by regression analysis, the tests of overdispersion and zero-inflation are conducted about the dependent variables of number of accidents and EPDO (Equivalent Property Damage Only). RESULTS : As their results, the Poisson model fits best for number of accident and the ZIP (Zero Inflated Poisson) fits best for EPOD, the variables of conflict traffic, width of opposing road, traffic passing speed are adopted as independent variable for both models. The variables of number of bus berths and rate of U-turn signal time at which the U-turn is permitted are adopted as independent variable only for EPDO. CONCLUSIONS : These study results suggest that U-turn would be permitted at the intersection where the width of opposing road is wider than 11.9 meters, the passing vehicle speed is not high and U-turn operation is not hindered by the buses stopping at bus stops.

Traffic Accident Models of Cheongju Four-Legged Signalized Intersections by Accident Type (사고유형에 따른 청주시 4지 신호교차로 교통사고모형)

  • Park, Byung-Ho;Han, Sang-Wook;Kim, Tae-Young;Kim, Won-Ho
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.153-162
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    • 2008
  • This study deals with the traffic accidents at the 4-legged signalized intersections in Cheong-ju. The purpose is to comparatively analyze the characteristics and models by the accident type using the data of 143 intersections. In pursuing the above, this study gives particular emphasis to modeling such the accidents as head on collision, rear end collision, side swipe, side right angle collision, and others. The main results are the followings. First, the overdispersion tests show that the negative binomial regression models are appropriate to the traffic accident data in the above contexts. Second, five accident models are developed, which are all analyzed to be statistically significant. Finally, the models are comparatively evaluated using the common variable(ADT) and type-specific variables.

The Retrospective Analysis of 1,162 Traffic Accident Inpatients in Korean Medicine Hospital (교통사고로 한방병원에 입원한 환자 1,162명에 대한 후향적 분석)

  • Shin, Jae-Hwa;Oh, Min-Seok
    • Journal of Korean Medicine Rehabilitation
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    • v.23 no.4
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    • pp.233-250
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    • 2013
  • Objectives The purpose of this study was to investigate the characteristics of inpatients who were admitted to Korean medicine hospital due to traffic accident. Methods 1,162 traffic accident patients who were admitted to department of Korean Rehabilitation Medicine of Cheonan Korean Medicine Hospital, Dae-Jeon University from 1st, January, 2011 to 31th, December, 2012 were analyzed according to the medical charts. Results 1. The average treatment result was 3.22 and in most (71.52%) of the patients, symptoms were more than improved. 2. In distribution according to age and sex, people in their 30s numbered the most both in male (12.65%) and female (14.72%). The 1,162 inpatients comprised of 457 (39.33%) male and 705 (60.67%) female. 3. 541 (46.56%) patients admitted in 2011 and 621 (53.44%) patients admitted in 2012. 4. 695 (59.81%) patients visited Cheonan Korean Medicine Hospital within 0~2 days after their traffic accident, followed by 242 (20.83%) patients who visited within 3~5 days after their traffic accident. Patients who admitted earlier showed more improvement in symptoms. 5. The average admission days were 9.32 days. Most (57.66%) patients discharged within 1 week. 6. 825 (71.00%) patients were driving sedan at the time of accident, followed by 105 (9.04%) SUV owners and 71 (6.11%) pedestrians. 7. Rear-end collision accident numbered the most (45.61%), followed by lateral collision (24.35%) and frontal collision (14.72%). 8. Most frequently prescribed examination was X-ray (95.52%), followed by CT (8.69%) and MRI (3.01%). 9. Most frequently given diagnosis was sprain (1,126 (96.90%) patients), followed by concussion & abrasion (178 (15.32%) patients) and fracture (109 (9.38%) patients). 10. Most frequently given Korean medicine treatment was acupuncture (1,162 (100%) patients), followed by anti-inflammatory pharmacopuncture (652 (56.11%) patients) and moxibustion (462 (39.76%) patients). 11. Most frequently given Korean medicine physiotherapy was infra-red (1,161 (99.91%) patients), followed by cupping therapy (1,152 (99.14%) patients) and hotpack (1,137 (97.85%) patients). 12. Most frequently prescribed herb medicine was huishou-san (13.51%), followed by dangguixu-san (12.65%) and yaojiao-tang G (7.06%) Conclusions In this study, people in their 30s, females, within 0~2 days since the accident took the highest percentage from each category of patients who admitted to Korean Medicine Hospital due to traffic accident. Patients who admitted earlier showed more improvement in symptoms and also discharged earlier.

Developing the Traffic Accident Severity Models by Accident Type (사고유형에 따른 교통사고 심각도 모형 개발)

  • Kim, Kyung-Hwan;Park, Byung-Ho
    • Journal of the Korean Society of Safety
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    • v.26 no.6
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    • pp.118-123
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    • 2011
  • This study deals with the traffic accidents of the arterial link sections. The purpose is to comparatively analyze the characteristics and models by accident type using the data of 24 arterial links in Cheongju. In pursuing the above, this study gives particular emphasis to modeling such the accidents as the side-right-angle collision, rear-end collision and side-swipe collision. The main results are the followings. First, six accident models are developed, which are all analyzed to be statistically significant. Second, the models are comparatively evaluated using the common and specific variables by accident type.

Development of Traffic Accident frequency Prediction Model by Administrative zone - A Case of Seoul (소규모 지역단위 교통사고예측모형 개발 - 서울시 행정동을 대상으로)

  • Hong, Ji Yeon;Lee, Soo Beom;Kim, Jeong Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.6
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    • pp.1297-1308
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    • 2015
  • In Korea, the local traffic safety master plan has been established and implemented according to the Traffic Safety Act. Each local government is required to establish a customized traffic safety policy and share roles for improvement of traffic safety and this means that local governments lead and promote effective local traffic safety policies fit for local circumstances in substance. For implementing efficient traffic safety policies, which accord with many-sided characteristics of local governments, the prediction of community-based traffic accidents, which considers local characteristics and the analysis of accident influence factors must be preceded, but there is a shortage of research on this. Most of existing studies on the community-based traffic accident prediction used social and economic variables related to accident exposure environments in countries or cities due to the limit of collected data. For this reason, there was a limit in applying the developed models to the actual reduction of traffic accidents. Thus, this study developed a local traffic accident prediction model, based on smaller regional units, administrative districts, which were not omitted in existing studies and suggested a method to reflect traffic safety facility and policy variables that traffic safety policy makers can control, in addition to social and economic variables related to accident exposure environments, in the model and apply them to the development of local traffic safety policies. The model development result showed that in terms of accident exposure environments, road extension, gross floor area of buildings, the ratio of bus lane installation and the number of crossroads and crosswalks had a positive relation with accidents and the ratio of crosswalk sign installation, the number of speed bumps and the results of clampdown by police force had a negative relation with accidents.

A Case With Traffic Accident Related Post-traumatic Stress Disorder (교통사고로 인한 외상 후 스트레스장애 환자 1례)

  • Sim, Yun-Seub;Kim, Sun-Hong
    • Journal of Oriental Neuropsychiatry
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    • v.14 no.1
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    • pp.175-181
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    • 2003
  • A lot of research have been done so far in terms of traffic accident sequela, but most of them have stressed simply on physical treatments, resulting in less attention to the psychological ones. This is a case report of a patient with post-traumatic stress disorder. Although that is simply following in the wake of past therapy, we were experienced an improved case of post-traumatic stress disorder patient treated by herbal medicine, acupuncture, mental therapeutics. This case effectively describes the characteristics of the post-traumatic stress disorder, and it also suggested one approach for the treatment of the disease. This report is for the better understanding of the disease, and also the search for the advanced treatments to it hereafter.

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Development of Traffic Accident Prediction Models Considering Variations of the Future Volume in Urban Areas (신설 도시부 도로의 장래 교통량 변화를 반영한 교통사고 예측모형 개발)

  • Lee, Soo-Beom;Hong, Da-Hee
    • Journal of Korean Society of Transportation
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    • v.23 no.3 s.81
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    • pp.125-136
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    • 2005
  • The current traffic accident reduction procedure in economic feasibility study does not consider the characteristics of road and V/C ratio. For solving this problem, this paper suggests methods to be able to evaluate safety of each road in construction and improvement through developing accident Prediction model in reflecting V/C ratio Per road types and traffic characters. In this paper as primary process, model is made by tke object of urban roads. Most of all, factor effecting on accident relying on road types is selected. At this point, selecting criteria chooses data obtained from road planning procedure, traffic volume, existence or non-existence of median barrier, and the number of crossing point, of connecting road. and of traffic signals. As a result of analyzing between each factor and accident. all appear to have relatives at a significant level of statistics. In this research, models are classified as 4-categorized classes according to roads and V/C ratio and each of models draws accident predicting model through Poisson regression along with verifying real situation data. The results of verifying models come out relatively satisfactory estimation against real traffic data. In this paper, traffic accident prediction is possible caused by road's physical characters by developing accident predicting model per road types resulted in V/C ratio and this result is inferred to be used on predicting accident cost when road construction and improvement are performed. Because data using this paper are limited in only province of Jeollabuk-Do, this paper has a limitation of revealing standards of all regions (nation).