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An Exploratory Hazard-based Analysis of Traffic Accident Impact on Freeway Traffic Flow : 고속도로 교통류에 미치는 교통사고 영향의 위험 기반 분석
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 이청원 | - |
dc.contributor.author | 이상협 | - |
dc.date.accessioned | 2017-07-14T04:19:54Z | - |
dc.date.available | 2017-07-14T04:19:54Z | - |
dc.date.issued | 2017-02 | - |
dc.identifier.other | 000000140837 | - |
dc.identifier.uri | https://hdl.handle.net/10371/124347 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 건설환경공학부, 2017. 2. 이청원. | - |
dc.description.abstract | The traffic congestion can be categorized into two groups regards to its causes | - |
dc.description.abstract | Recurring congestion and Non-Recurring congestion. Of these two types, Non-Recurring congestion occurs more frequently that it occupies 60% of traffic congestion. The main causation of the Non-Recurring congestion is traffic accident.
For making efficient plan for preventing congestion caused by the accidents on highway, this research aimed to analyzing impacts of traffic accident on traffic flow. For achieving this goal, cox proportional hazard model has been adopted. Four years of traffic accident records and Vehicle Detectors (VDs) data on the Gyeongbu line, the Seohaean line, the Yeougdong line in Republic of Korea (Korea) are collected for analysis. By using the hazard model, various factors of traffic accident that affects the traffic flow have been identified. If the traffic flow before the accident is stable, the hazard of getting worse level of service(LOS) is lower. Moreover, hazard is increased proportionally with the degree of vehicle damages and volume at upstream. Also, location of lane closure and involvement of heavy vehicle, alignment also have an effect on occurring congestion. Meanwhile, factor influence is different according to traffic flow characteristics before accident, and management goal. The cases of Model 1 (decrease in LOS from LOS A and B to LOS C), Model 3 (from LOS C and D to LOS E) are influenced by accident severity more than Model 2(from LOS A and B to LOS E). But, the cases of Model 2 are mostly affected by capacity decrease and demand. It means severely accumulated queue is needed for incurring congestion in Model 2. It is because Model 2 is the case representing conversion of the state (from free flow to severe congested flow). From this results, the research suggested what type of operations is needed to prevent congestion and what extent of operations is needed. | - |
dc.description.tableofcontents | Chapter 1. Introduction 1
1.1. Research Background and Purpose 1 1.1.1 Research Motivation 1 1.1.2 Research Purpose 2 1.2. Research Composition 3 Chapter 2. Literature Review 4 2.1. Analyzing impacts of traffic flow on traffic accidents 4 2.2. Analyzing impacts of traffic accidents on traffic flow using simulation 5 2.3. Analyzing impacts of traffic accidents on traffic flow using statistical methods 7 2.4. Analyzing impacts of traffic accidents on traffic flow using queuing model 10 Chapter 3. Data Collection 11 Chapter 4. Methodology 13 4.1 Statistical Model 13 4.2 Variables 14 4.3 Model constitution 17 Chapter 5. Estimation Results 18 5.1. Model 1 (From LOS A and B to LOS C) 18 5.2. Model 2 (From LOS A and B to LOS E) 21 5.3. Model 3 (From LOS C and D to LOS E) 25 Chapter 6. Conclusion 28 국문 초록 32 | - |
dc.format | application/pdf | - |
dc.format.extent | 1105563 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Traffic accident | - |
dc.subject | Traffic flow | - |
dc.subject | Traffic operation | - |
dc.subject | Cox proportional hazard model | - |
dc.subject.ddc | 624 | - |
dc.title | An Exploratory Hazard-based Analysis of Traffic Accident Impact on Freeway Traffic Flow | - |
dc.title.alternative | 고속도로 교통류에 미치는 교통사고 영향의 위험 기반 분석 | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | Lee Sang Hyeop | - |
dc.description.degree | Master | - |
dc.citation.pages | 33 | - |
dc.contributor.affiliation | 공과대학 건설환경공학부 | - |
dc.date.awarded | 2017-02 | - |
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