نتایج جستجو برای: vehicular emission forecasting
تعداد نتایج: 230074 فیلتر نتایج به سال:
1556-6072/17©2017ieee ieee vehicular technology magazine | June 2017 Cloud-based vehicular networks are a promising paradigm to improve vehicular services through distributing computation tasks between remote clouds and local vehicular terminals. To further reduce the latency and the transmission cost of the computation off-loading, we propose a cloud-based mobileedge computing (MEC) off-loadin...
The focus of this article is to show how a caching mechanism can be applied to vehicular networks operating under the draft standard IEEE 802.11p to reduce the probe delay, and consequently, the handover delay in vehicle-to-infrastructure (V2I) communications. The authors have developed and tested an IEEE 802.11p model within the simulator NS-2 to evaluate the performance of vehicular applicati...
Delay-tolerant networks (DTNs) have the potential to interconnect devices in regions that current networking technology cannot reach. Delay Tolerant Networks are utilized in various operational environments, including those subject to disruption and disconnection and those with high-delay, such as Vehicular ad-hoc Networks (VANET). Vehicular networks can be seen as an example of hybrid delay to...
Research in Vehicular Networks (VNs) has found in simulation the most useful method to test new algorithms and techniques. This is mainly due to the high cost of deploying such systems in real scenarios. When simulating vehicular environments, two different issues must be addressed: mobility and wireless communications. Regarding mobility, several mobility pattern generators have been proposed ...
The rapid increase of vehicular traffic and congestion on the highways began hampering the safe and efficient movement of traffic. Consequently, year by year, we see the ascending rate of car accidents and casualties in most of the countries. Therefore, exploiting the new technologies, e.g. wireless sensor networks, is required as a solution of reduction of these saddening and reprehensible sta...
Abstract– The vehicular networking environment is characterized by time-varying traffic density and relatively high vehicular mobility rates. Enabling networking in the vehicular environment is challenging due to the rapidly changing topology and the vast network of roadways. In this article, we present an analytical model to describe the behavior of message propagation in a delay tolerant netw...
Behavioral patterns prediction in the context of Vehicular Ad hoc Networks (VANETs) has been receiving increasing attention due to enabling on-demand, intelligent traffic analysis and response to real-time traffic issues. One of these patterns, sequential patterns, are a type of behavioral patterns that describe the occurence of events in a timelyordered fashion. In the context of VANETs, these...
A key component for vehicular ad-hoc networks (VANET) simulations is a realistic vehicular mobility model, as this ensures that the conclusions drawn from simulation experiments will carry through to the real deployments. Node mobility in a vehicular network is strongly affected by the driving behaviour such as route choices. While route choice models have been extensively studied in the transp...
Volcanic ash forecasting is a crucial tool in hazard assessment and operational volcano monitoring. Emission parameters such as plume height, total emission mass, and vertical distribution of the emission plume rate are essential and important in the implementation of volcanic ash models. Therefore, estimation of emission parameters using available observations through data assimilation could h...
In the 2009 Copenhagen Accord, China agreed to slash its carbon intensity (carbon dioxide emissions/GDP) by 40% to 45% from the 2005 level by 2020. We assess whether China can achieve the target under the business-as-usual scenario by forecasting its emissions from energy consumption. Our preferred model shows that China’s carbon intensity is projected to decline by only 33%. The results imply ...
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