نتایج جستجو برای: vehicular emission forecasting
تعداد نتایج: 230074 فیلتر نتایج به سال:
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
Advances in vehicular networks, embedded devices and cloud computing will enable the formation of vehicular clouds of computing, communication, sensing, power and physical resources. Owing to the dynamic nature of the vehicular cloud, continuous monitoring on trust attributes in necessary to enforce service-level agreement, This paper proposes RA-VTrust, Reputationbased Adaptive Vehicular Trust...
In this paper, the authors used LabView to design a sensor-based module and analyse it for an accident prevention system. For purpose of forecasting potential combinations occurrence, various sensor nodes are integrated into single A LabView-based simulation has been performed address additional conditions after real-time hardware with constrained number sensors was examine conditions. With hel...
IEEE 1609.4 Standard for Wireless Access in Vehicular Environments (WAVE) has been proposed to enhance the performance of vehicular networks with multi-channel operations that allow for the coexistence of safety-related and non-safety related vehicular applications. At present, the evaluation of 1609.4-based Vehicular Ad Hoc Networks (VANETs) constitutes an open issue due to the lack of simulat...
Airborne fine particles are a mixture of various components and are emitted by different sources. Short-term and long-term epidemiological studies have associated fine particles with adverse health effects, excess mortality, respiratory and cardiovascular diseases. There are indications that the health effects are more associated with the fine fraction of PM10 and with ultrafine particles (< 0....
Abstract Air pollution is a Worldwide challenge that reason for premature death. It affects both developing nations and developed nations. In particular, the air so much polluted cities are fighting to fulfill quality range protect humans from harmful substances. One of greatest global challenges 2050 reduction greenhouse gas emissions. Besides emissions, major problems in many urban areas this...
Vehicular-to-anything (V2X) technology is attractive for wireless vehicular ad-hoc networks (VANETs) because it allows for opportunistic choice of a vehicular protocol between vehicular-to-vehicular (V2V) and vehicular-to-infrastructure (V2I) communications. In particular, achieving seamless connectivity in a VANET with nearby network infrastructure is challenging. In this paper, we propose a d...
With the development of IoT, Vehicular Ad-hoc Network will be shifted to Vehicular Ad-hoc Network managed cloud in near future. As the traditional cloud, VMM is a crucial problem in Cloud Based Vehicular Networks. Due to the distinct feature of high mobility, VMM Cloud Based Vehicular Networks need to be addressed to keep cloud services running on. When a vehicle moves on the road, it moves out...
In this contribution we show the description, implementation and operation of an Operational Air Quality Forecasting System for industrial plants, urban and regional areas. The system is called OPANA (OPerational Atmospheric Numerical model for urban and regional Areas) and is the evolution and result of more than 10 years of research on sophisticated state-of-the-art numerical air quality mode...
Emissions of resuspensed particles from paved roads (RPR) have received an increasing attention in air quality modeling, since chemistry transport models are generally unable to reproduce particulate levels near road traffic. However, among the models operated in the forecasting mode in Europe, there is a lack of systems including the contribution of RPR on an hourly basis. Therefore, this cont...
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