با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Carbon management of infrastructure performance: Integrated big data analytics and pavement-vehicle-interactions
مدیریت کربن عملکرد زیرساخت: تجزیه و تحلیل داده های بزرگ مجتمع و تعاملات-خودرو-پیاده رو-2017 As a crucial part of the transportation system, roadway network provides mobility to the society and is
vital for the economy. At the same time it contributes significantly to the environmental footprint during
its construction, operation and maintenance. Hence, the sustainable development of our Nations
roadway system requires quantitative means to link infrastructure performance to lifecycle energy use
and greenhouse gas emissions. Recent developments in mechanistic models of roughness- and
deflection-induced pavement-vehicle interaction aim at providing such engineering estimates. Herein, it
is demonstrated that these models when implemented at a network scale are a powerful basis for big
data analytics of excess-energy consumption and carbon dioxide emissions by integrating spatially and
temporally varying road conditions, pavement properties, traffic loads and climatic conditions. A novel
ranking algorithm is proposed, that allows upscaling of the local carbon dioxide emissions due to
pavement vehicle interaction to the size of state-wide or national sustainability goals. Implemented for
5157 lane-miles of the interstate highway system in the State of Virginia, sections contributing signifi
cantly to carbon dioxide emissions are identified. It is shown that the proposed ranking algorithm based
on the inferred emission that exhibits a power-law distribution, provides the shortest path for green
house gas emissions savings per maintenance at network scale. That is, maintaining a few lane miles
allows for a significant synergetic improvement of both infrastructure performance and environmental
impact of the interstate network and helps transportation agencies in making economic and environ
mentally sustainable decisions.
Keywords:Pavement-vehicle-interaction|Greenhouse gas emissions|Network analysis|Power-law distribution|Big data analytics |
مقاله انگلیسی |