02644nas a2200253 a 450000500170000000800410001703500150005810000250007324500720009826000670017030000230023749000270026050001700028750200590045752014550051665000320197170000410200370000530204470000570209771000460215471000650220081000590226585600660232420260817162412.0180912s2017    th uu m rtt   0|  a1eng d  a.b122065810 aPatteera Jensupakarn10aAnalysis of passenger car accidents and driver maneuvers at crashes  aPathum Thani, Thailand :bAsian Institute of Technology,c2017  a70 leaves :bill. 1 aThesis ;vno. TE-16-03  aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Transportation Engineering, School of Engineering and Technology  aThesis (M. Eng.) - Asian Institute of Technology, 2017  aIn Thailand, the number of car crashes and the level of severity in these kind of accident have been comprehensively increasing. To reduce the accident severity, it is necessary to find out the factors that affecting to the level of severity first. In this study, macro-level of  accident data  were  analyzed  to  identify  the accident  contributing  factors  influencing severity  level  of  car  crashes,  by  using  secondary  data  of accident report on national highway in year 2010 to 2014. The data were separated to three scenarios; passenger car, pickup  and both passenger car and  pickup accident. The Ordinal  Logistic  Regression Model were  used  to  analyze  the  data.  In  addition, micro-level data of passenger  car accidents  were  collected  by using in{u2013}depth accident  investigation  techniques and the event data recorder (EDR)technology in order to study and compare the results related to driver{u2019}s behavior at  crash which  obtained  from  two  techniques. Findings  from  this study indicate that time of  crash,  vehicle/road user involved,  type  of  crash,  location  of crash  and  cause  of  accident are  affecting  to  the  level  of  severity  in  car  crashes. Moreover, the micro-accident analysis shows that the data retrieved from EDR could be used to confirm the in-depth accident investigation analysis method which is useful  for improving in-depth accident investigation techniques in Thailand. 0aTraffic accidentsxAnalysis0 aKunnawee Kanitpong,eChairperson    0 aSurachet Pravinvongvuth,eExamination committee 0 aPiyapong Jiwattanakulpaisarn,eExamination committee2 aRoyal Thai Government,eScholarship donor2 aAsian Institute of Technology Fellowship,eScholarship donor2 aAsian Institute of Technology.tThesis ;vno. TE-16-03  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B04153