本研究介紹了交通事故統計圖表的結果，這些圖表在交通擁擠和死亡人數之間發生了變化，數字逐年下降。根據斯梅德定律理論，認為當車輛數量較多時，車禍的數量也會增加。然而，陸路運輸部和泰國局網站的記錄已經提供了足夠的資料來證明泰國的交通事故自2010年至2018年已發生變化。每年，車輛的數量無疑越來越高，但事實證明汽車事故已經減少，並得到泰國人的支持，以遵守交通法並了解生命的價值。 當人們了解他們的生活如何重要時，他們不會因疏忽和避免這些風險情況而傷害自己。

This study presents the results of traffic accident statistic charts that had been changed between the congestion and the number of deaths, from the high number sloped down. With the theory of Smeed’s law, believes that when number of vehicles are high, then number of car accidents will get higher as well. However, the record from the Department of Land transport and Thai Bureau website have given enough information to prove that Thailand’s traffic accident has been changed since 2010 to 2018. In each year, number of vehicles are getting higher no doubt, but it turned out that car accidents have been reduced and been supportive from Thai people to follow the traffic law and know the value of life. When people understand how their lives important, they will not harm themselves by being careless and avoiding those risk situations.

Table of Contents
Chapter 1 Introduction	v
1.1 Background	3
1.2 Research Topic and Goals	3
1.3 Research Motivation	5
1.4 Framework	5
1.5 Research Methodology	5
1.6 Research Limitation	6
1.7 Expected Results	6
Chapter 2 Literature Review	8
2.1 Introduction	8
2.2  The Literature on Measurement and Related Issues	8
2.3 The Literature on Types of Traffic Risks and Government Policies in Thailand	11
2.4 The Literature on Economic Costs of Road Accidents in Thailand	14
Chapter 3 Road Accident Policy and Accident Losses	19
3.1 Accident Policy	19
3.2 Causes of Car Accidents	21
3.2.1) Speeding	23
3.2.2) Drunk Driving	25
3.2.3) Wearing Seat Belts	27
3.2.4) Use cellphone while driving	28
3.2.5) Inconvenient Vehicle	29
Chapter 4 Time Series Properties and Other Characteristics of the Data	31
4.1 The Role of Statistics in Social Analysis	31
4.2 Overall Deaths Per Capita (DPC) for Thailand during 1993-2017	32
4.3 Motorcycle Accidents per 10,000 Motorcycles	34
4.4 Car Accidents per 10,000 Autos	37
4.5 Small Truck Accidents per 10,000 Small Trucks	41
4.6 A Summing up of the ANOVA Analyses	45
4.7  Smeed's Law and Thailand	47
Chapter 5 Conclusion	53
References	56
APPENDIX	60
APPENDIX	61
APPENDIX	62

List of Tables
Table 2.1: Summary of Important Research	17
Table 3.1:  Highway Budget	20
Table 3.2 Economic Loss from Road Accidents	21
Table4.1: Motorcycle accident per 10,000 of total motorcycles	34
Table 4.2: ANOVA Results, Test of Equality of Three Means, Levels of Accidents per 10,000 motorcycles 2004 - 2016	36
Table 4.3: ANOVA Results, Test of Equality of Three Means, Growth in Motorcycle accidents per 10,000 motorcycles 2005 - 2016	37
Table 4.4 : Car Accidents per 10,000 Autos 2004-2016	37
Table 4.5:Correlations for Growth in Accidents, Cars per 10,000 Autos  2004 - 2016        	39
Table 4.6: ANOVA Results,Test of Equality Three Means,Growth in Car Accidents per 10,000 Autos 2005-2016	40
Table 4.7: Small Truck Accidents per 10,000 Small Trucks 2004-2016	42
Table 4.8: ANOVA Results, Test of Equality of Three Means, Small Truck Accidents per 10,000 Small Trucks 2004 - 2017	43
Table 4.9 : ANOVA Results,Test of Equality Three Means Growth in Small Truck Accidents per 10,000 Small Trucks 2005-2016	44
Table 4.10,  Correlations for Growth in Accidents for,  Small Trucks per 10,000 Small Trucks during 2005 - 2016	44
Table 4.11, Summary of ANOVA Results, Ratio Accidents per 10,000 and Growth of Ratio, by Transportation Mode, Period, and Grouping	46
Table 4.12, Thai Data Relevant to Smeed's Law	49
Table 4.13, Selected Smeed Law Data for Thailand	51


List of Figures
Figure 4.1: Per Capita Deaths in Thailand Time series Forecasts from 2017 to 2030	33
Figure 4.2 Road Deaths per Capita vs. Registered Vehicles per Capita	50

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