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Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
Develo** solar photovoltaic (PV) systems is an effective way to address the problems of
limited fossil fuel reserves, soaring world energy demand and global climate change. The …
limited fossil fuel reserves, soaring world energy demand and global climate change. The …
Modeling real-time human mobility based on mobile phone and transportation data fusion
Even though a variety of human mobility models have been recently developed, models that
can capture real-time human mobility of urban populations in a sustainable and economical …
can capture real-time human mobility of urban populations in a sustainable and economical …
Study on road traffic congestion: A review
Traffic congestion is one of the most visible, pervasive, and immediate transport problems
plaguing not only India's but also most of the cities of the world on a daily basis. It affects all …
plaguing not only India's but also most of the cities of the world on a daily basis. It affects all …
Airborne vehicle detection in dense urban areas using HoG features and disparity maps
Vehicle detection has been an important research field for years as there are a lot of
valuable applications, ranging from support of traffic planners to real-time traffic …
valuable applications, ranging from support of traffic planners to real-time traffic …
Towards the automated large-scale reconstruction of past road networks from historical maps
Transportation infrastructure, such as road or railroad networks, represent a fundamental
component of our civilization. For sustainable planning and informed decision making, a …
component of our civilization. For sustainable planning and informed decision making, a …
Traffic congestion detection: learning from CCTV monitoring images using convolutional neural network
In this paper, we present an intelligent traffic congestion detection method using image
classification approach on CCTV camera image feeds. We use a deep learning architecture …
classification approach on CCTV camera image feeds. We use a deep learning architecture …
Road traffic congestion monitoring and measurement using active RFID and GSM technology
K Mandal, A Sen, A Chakraborty, S Roy… - … IEEE Conference on …, 2011 - ieeexplore.ieee.org
In this paper, we present an intelligent Traffic Congestion Monitoring & Measurement
System called TrafficMonitor to monitor and measure the road traffic congestions using …
System called TrafficMonitor to monitor and measure the road traffic congestions using …
Density Map-based vehicle counting in remote sensing images with limited resolution
Observing traffic flow is of great significance to contemporary urban management. Overhead
images, as represented by remote sensing images, provide a major source of information …
images, as represented by remote sensing images, provide a major source of information …
Impact of compressed and down-scaled training images on vehicle detection in remote sensing imagery
Vehicle detection in remote sensing imagery is a prominent issue over the last few years. In
this application, the processing of optical remote sensing images becomes critical due to the …
this application, the processing of optical remote sensing images becomes critical due to the …
[PDF][PDF] Machine Learning based traffic congestion prediction in a IoT based Smart City
S Devi, T Neetha - Int. Res. J. Eng. Technol, 2017 - academia.edu
In a smart city roads would be equipped with the sensors for analyzing the traffic flow.
Hence, free flowing of road traffic is important for faster connectivity and transportation …
Hence, free flowing of road traffic is important for faster connectivity and transportation …