A stochastic Bayesian update and logistic growth mapping of travel-time flow relationship
نام عام مواد
[Thesis]
نام نخستين پديدآور
Mohammad Mofigul Islam Molla
نام ساير پديدآوران
Stone, Matthew L.
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
North Dakota State University
تاریخ نشرو بخش و غیره
2017
مشخصات ظاهری
نام خاص و کميت اثر
224
يادداشت کلی
متن يادداشت
Committee members: Bai, Yong; Huang, Ying; Siddiqui, Chowdhury K. A.
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Place of publication: United States, Ann Arbor; ISBN=978-1-369-62327-7
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
نظم درجات
Civil Engineering
کسي که مدرک را اعطا کرده
North Dakota State University
امتياز متن
2017
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
The travel-time flow relationship is not always increasing in nature, it is very difficult to predict precisely. Traditional method fails to replicate this unique conditions. Until millennium, although various researchers and practitioners have given much attention to develop travel-time flow relationships, the advancement to improve travel-time flow relationships was not substantial. The knowledge about the travel-time flow relationship is not commensurate with or parallel to the advancement of new knowledge in other fields. After millennium, most investigators did not devote enough attention to create new knowledge, except for application and performance evaluation of the existing knowledge. Therefore, it is necessary to provide a new theoretical and methodological advancement in travel-time flow relationship.
Social sciences;Applied sciences;Travel -time prediction;Travel data collection;Travel time delay;Travel time flow;Virtual sensor;Volume delay function
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )