隨著國(guó)家經(jīng)濟(jì)不斷地增長(zhǎng),各種運(yùn)輸方式的運(yùn)輸量也逐年增加。注冊(cè)車(chē)輛每年都在增加。因?yàn)榈缆肥褂谜邔?duì)道路交通法規(guī)的認(rèn)識(shí)有限,將引起道路交通事故的原因,道路交通事故的死亡增加了接近兩倍。平均而言,每天會(huì)有5個(gè)人死亡,不計(jì)所留下來(lái)的孤兒、寡婦和殘障人士。除了對(duì)人們的直接影響,諸如子孫、兄弟姐妹、父母和朋友的離去,金融和家庭經(jīng)濟(jì)損失等因素之外,每年也會(huì)造成數(shù)百萬(wàn)美金的國(guó)家經(jīng)濟(jì)損失。如果可以減少道路交通事故,將會(huì)節(jié)省大量的國(guó)家預(yù)算。從這個(gè)情況可以看出,交通事故對(duì)國(guó)家的發(fā)展造成了巨大的影響。勞動(dòng)人民,諸如學(xué)生,畢業(yè)生和公務(wù)員等人員都遭遇了傷害、死亡或者致殘,造成社會(huì)經(jīng)濟(jì)力量的巨大損失。因此,為了找出柬埔寨交通事故的主要原因,本研究旨在從道路交通事故和因果關(guān)系的角度來(lái)確定道路交通安全的現(xiàn)狀。提出了一種事故預(yù)測(cè)模型,來(lái)預(yù)測(cè)在柬埔寨的未來(lái)事故情況,利用R軟件對(duì)觀測(cè)到的事故歷史進(jìn)行模型參數(shù)的標(biāo)定,并計(jì)算出主要道路的事故指標(biāo)。本文還提出了未來(lái)的挑戰(zhàn)和一些關(guān)鍵的建議,來(lái)改善柬埔寨的道路安全。 

【文章來(lái)源】：東南大學(xué)江蘇省 211工程院校 985工程院校 教育部直屬院校

【文章頁(yè)數(shù)】：83 頁(yè)

【學(xué)位級(jí)別】：碩士

【文章目錄】：
Acknowledgement
ABSTRACT
摘要
GlOSSARY
ACRONYMS
Chapter Ⅰ Introduction
    1.1. Background of Cambodia
    1.2. Problem statement
    1.3. Objective of study
    1.4. Reseach methods
    1.5. Research questions
    1.6. Strucure of thesis
Chapter Ⅱ LITURATURE REVIEW
    2.1.Definition of road safety
    2.2. Road facilities
    2.3. The need for road safety management
    2.4. Crashed prediction model
    2.5. Development of crash prediction model using multiple regression analysis
    2.6. Tools for highway safety management
    2.7. Road safety in Cambodia
        2.7.1. Definitions applied in Cambodia
        2.7.2. Road safety by road type
        2.7.3. Activities of sub-technical working group (Sub-TWGs)
    2.8. Comments
Chapter Ⅲ Current Situation of Road Safety in Cambodia between 2012-2016
    3.1.Cause of crashes and fatalities
        3.1.1.Main volution of data
        3.1.2. Casualties
            A. Nature of injuries
            B. Severity of injuries
            C. Time/day/month
            D. Gender and age
            E. Ocupation
            F. Type of road user
            i. Motorbike riders
        3.1.3. Pedestrians
        3.1.4. Types of collision
        3.1.5. Blackspots…
Chapter Ⅳ Identify Road Crash and Casualty in 2016
    4.1.Safety performance indicators
        4.1.1. Types of roads
        4.1.2. Contributing factors
        4.1.3. Over speeding
        4.1.4. Drunk drinking
    4.2. Emergency response
        4.2.1. First aid
    4.3. Use of passive protection
        4.3.1. Seat belt
        4.3.2. Helmet wearing
        4.3.3. Driving liscense
    4.4. Future challenges
        4.4.1. Estimate of overall road crash casualties
Chapter Ⅴ Crash Prediction Model
    5.1. Model development
    5.2. Correlation analysis
    5.3. Multicollinearity
Chapter Ⅵ Crash Average of Main Roads
    6.1. Solution
        6.1.1. Action plan2011-2020
            A. Background
            B. Expect output
Chapter Ⅶ Conclusion and key Recommendation
    7.1. Conclusion
    7.2. Key recommendation
References
Appendix



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