Data-Driven Urban Mobility Modeling and Analysis

Mobile Sensing for Data-Driven Mobility Modeling

The use of mobile sensed location data for realistic human track generation is privacy sensitive. People are unlikely to share their private mobile phone data if their tracks were to be simulated. However, the ability to realistically generate human mobility in computer simulations is critical for advances in many domains, including urban planning, emergency handling, and epidemiology studies. ...

Agenda Driven Mobility Modeling

Mobility modeling is an essential component of wireless and mobile networking research. It assists planning, developing and evaluating protocols and mobile systems. A simulated mobile world provides flexibility for constructing scenarios that closely resemble the real world. Our proposed mobility model emphasizes humans’ social roles when making movement decisions. Our model, the Agenda Driven ...

Spatiotemporal Characterization of Evolutive Data Analysis and Mobility Stochastic Modeling – Application for Urban Planning

Data-driven modeling of solar-powered urban microgrids

Distributed generation takes center stage in today's rapidly changing energy landscape. Particularly, locally matching demand and generation in the form of microgrids is becoming a promising alternative to the central distribution paradigm. Infrastructure networks have long been a major focus of complex networks research with their spatial considerations. We present a systemic study of solar-po...

modeling loss data by phase-type distribution

بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...