Remote sensing of photovoltaic scenarios: Techniques, applications and future directions

Q Chen, X Li, Z Zhang, C Zhou, Z Guo, Z Liu, H Zhang - Applied Energy, 2023 - Elsevier
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 …

Modeling real-time human mobility based on mobile phone and transportation data fusion

Z Huang, X Ling, P Wang, F Zhang, Y Mao, T Lin… - … research part C …, 2018 - Elsevier
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 …

Study on road traffic congestion: A review

M Kumar, K Kumar, P Das - Recent Trends in Communication and …, 2021 - taylorfrancis.com
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 …

Airborne vehicle detection in dense urban areas using HoG features and disparity maps

S Tuermer, F Kurz, P Reinartz… - IEEE Journal of Selected …, 2013 - ieeexplore.ieee.org
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 …

Towards the automated large-scale reconstruction of past road networks from historical maps

JH Uhl, S Leyk, YY Chiang, CA Knoblock - Computers, environment and …, 2022 - Elsevier
Transportation infrastructure, such as road or railroad networks, represent a fundamental
component of our civilization. For sustainable planning and informed decision making, a …

Traffic congestion detection: learning from CCTV monitoring images using convolutional neural network

J Kurniawan, SGS Syahra, CK Dewa - Procedia computer science, 2018 - Elsevier
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 …

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 …

Density Map-based vehicle counting in remote sensing images with limited resolution

Y Guo, C Wu, B Du, L Zhang - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
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 …

Impact of compressed and down-scaled training images on vehicle detection in remote sensing imagery

S Karim, Y Zhang, S Yin, AA Laghari… - Multimedia Tools and …, 2019 - Springer
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 …

[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 …