1
pplication of satellite imagery map for black spot identification along the expressway network in Bangkok | |
Author | Yaowaret Jantakat |
Call Number | AIT Thesis no.TE-05-09 |
Subject(s) | Express highways |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. TE-05-09 |
Abstract | This research intends to perform the accident analysis in order to identify the black spot locations along the expressway network in Bangkok from the accident database together with all related information collected by the Expressway and Rapid Transit Authority of Thailand (ETA). In addition, this research aims to present the spatial analysis concept on the satellite imagery webcasted by Google Earth. In the analysis of accident characteristics, this study focused on accident cause, crash type, vehicle involvement and accident time period by using the ETA data during the period of 1998-2005. It reveals that the most frequently occurred accidents are road side crashes of single-vehicle due to the careless driving during day time. On the other hand, considering the accidents based on severity, the most severity crashes are from lost controlled vehicles during night time. In addition, this study proposed the calculation on vehicle-kilometer traveled along the expressway network as an assisting parameter in accident rate analysis in order to identify the black spot location. Based on the three proposed parameters of accident frequency, accident rate, and severity value, 14 out of 1,316 locations are identified as black spot locations which only cover three of five routes of the expressway network. However, to compare the black spot locations of this study with the potential problem locations reported in the recent road safety audit reports, this study reconsiders the black spot locations based on only two parameters, of the three mentioned parameters which indicated 30 locations are black spot locations. Those locations are finally figured out in the satellite imagery format which is a proposed supplementary tool to accommodate the visualization of all related users |
Year | 2006 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. TE-05-09 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Civil and Infrastucture Engineering (DCIE) |
Academic Program/FoS | Transportation Engineering (TE) |
Chairperson(s) | Yordphol Tanaboriboon; |
Examination Committee(s) | Hanaoka, Shinya;Kunnawee Kanitpong; |
Scholarship Donor(s) | Thai Health Promotion Foundation; |
Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2005 |