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العنوان
Big-Data in Smart Transportation Planning :
المؤلف
El-Essawi, Reem Bakri Moustafa.
هيئة الاعداد
باحث / ريم بكري مصطفى العيسوي
reem2102@hotmail.com
مشرف / علي فؤاد بكر
alibakr2000@gmail.com
مشرف / زياد محمد طارق الصياد
zelsayad1@hotmail.com
مناقش / طارق عبدالحميد فرغلي
farghaly2k@hotmail.com
مناقش / حاتم عبدالمنعم الطويل
الموضوع
Architecture.
تاريخ النشر
2023.
عدد الصفحات
89 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة المعمارية
تاريخ الإجازة
2/3/2023
مكان الإجازة
جامعة الاسكندريه - كلية الهندسة - الهندسة المعمارية
الفهرس
Only 14 pages are availabe for public view

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Abstract

The concept of living in a smart environment is now a fact because of paradigm shifts from the world of traditional desktop computer to one of increasingly sophisticated computing, as well as the significantly rising number of linked gadgets and sensors. Smart cities and smart transportation are just a few of the latest applications of a smart environment that have been unveiled. Huge amounts of big data connected to network technology through the Internet of Things (IoT); which could be the primary enabler of these smart applications. However, there are primarily two concepts driving this interest. First, most current activities generate data that contains information. The second is succinctly stated as data driven analysis and management for better decisions. Big data allows stakeholders and decision makers to make decisions based on facts rather than estimations. Therefore, big data in the transportation industry presents opportunities that cannot be denied, but its utility and extent are still up for debate. On the other hand, sceptics have questioned whether availability of big data in transportation platforms is certainly realtime justified. Thus; this thesis aims to develop the feasibility of transportation big-data in order to drive changes that impacts directly both government and citizens’ goals and objectives The relevance is to face and develop transportation challenges in down-town of Historical Mega-Cities. Smart transportation platform is proposed to implement that can manage huge amount of Big Transportation Data Planning (BTDP) and give guidance to the urban authorities to make their municipalities smarter and digital, and to propose Smart Transportation Building (STB) as a part of Smart Digital City while preserving its historical identity. This paper proposed a developed frame-work for Smart SocioEconomic composite indicator through transportation platform for city data harvesting. The results were able to classify major challenges facing users which revolving the socioeconomic indicator; according to a surveying on the historical down-town of Alexandria’s City in Egypt as an important historical mega-city; in order to set applicable solutions via using the Smart Socio-Economic Transportation Platform (S2TP).