AI SearchAccident analysis of Yangon-Nay Pyi Taw Highway in Myanmar
Call Number: AIT Thesis no.TE-13-02 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. TE-13-02Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2014Description: 50 leaves : illSubject(s): Online resources: Dissertation note: Thesis (M. Eng.) - Asian Institute of Technology, 2013 Summary: The research determines the blacksport locations established by ranking location with the Accident Point Weightage Method and Equivalent Property Damage Only Method. According to the blackspot ranking method, the rop four hazardous locations are mile 93, mile 193, mile 37 and mile 105 in ascending order. Factors affecting the occurrence of accident severity involved traffic characteristic and the road condition. This study is focustion on the Poisson regression, Negative Binomial regression with the independent variables to develop the accident model. The introductory approach of the Zero- inflated regression is applied on the study route. The result from analysis shows that accidents is depend on traffic volume, roadway width, curvature, grade, u turn median opening, the width of bridge, the location of barrier, side slope and median type.
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20-AIT Publication
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Asian Institute of Technology Library AIT Publications | AIT Thesis no.TE-13-02 (Browse shelf(Opens below)) | 2 | Available | 30050120816888 | |||||||||||||
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Asian Institute of Technology Library Archives | AIT Thesis no.TE-13-02 (Browse shelf(Opens below)) | 1 | Available | 30050160014451 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering, School of Engineering and Technology
Thesis (M. Eng.) - Asian Institute of Technology, 2013
The research determines the blacksport locations established by ranking location with the Accident Point Weightage Method and Equivalent Property Damage Only Method. According to the blackspot ranking method, the rop four hazardous locations are mile 93, mile 193, mile 37 and mile 105 in ascending order. Factors affecting the occurrence of accident severity involved traffic characteristic and the road condition. This study is focustion on the Poisson regression, Negative Binomial regression with the independent variables to develop the accident model. The introductory approach of the Zero- inflated regression is applied on the study route. The result from analysis shows that accidents is depend on traffic volume, roadway width, curvature, grade, u turn median opening, the width of bridge, the location of barrier, side slope and median type.
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