In-Depth Analysis of Texas Accidents Using Data-Mining Techniques and Geo-Statistical Analyst Tools
نام عام مواد
[Thesis]
نام نخستين پديدآور
Faiz ul Islam
نام ساير پديدآوران
Asa, Eric
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
North Dakota State University
تاریخ نشرو بخش و غیره
2018
مشخصات ظاهری
نام خاص و کميت اثر
161
يادداشت کلی
متن يادداشت
Committee members: Day, Stephanie; Stone, Matthew
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Place of publication: United States, Ann Arbor; ISBN=978-0-355-97684-7
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
M.S.
نظم درجات
Construction Management and Engineering
کسي که مدرک را اعطا کرده
North Dakota State University
امتياز متن
2018
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Traffic accidents have been a consistently growing problem in the United States. The road-safety issues have not been completely resolved and pose danger to people driving on the roadways. This research used various approaches and techniques to evaluate and analyze the Texas State traffic-accident dataset profoundly and meticulously. Data-mining techniques were used to analyze the accident dataset for Texas statistically, and information were collected. The resulting information from the analysis suggested that the city of Houston, Texas, was the point of persistent accidents and accounted for most accidents in all Texas cities. Therefore, Houston was analyzed further by using the geostatistical and geo-analyst tools in ArcGIS. The Geostatistical Analysis tools including Space-Time identified the key hotspot locations within the city to study the overall behavior, and developed prediction maps from the kriging tool. A similar approach can apply to other parts of Texas and any location in the United States.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Civil engineering
اصطلاحهای موضوعی کنترل نشده
اصطلاح موضوعی
Applied sciences
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )