A novel framework to avoid traffic congestion and air pollution for sustainable development of smart cities
Traffic management is crucial for the sustainable development of smart cities. There has
been a continuous emphasis from the research community to predict air quality and manage …
been a continuous emphasis from the research community to predict air quality and manage …
Towards greener smart cities and road traffic forecasting using air pollution data
Road traffic flow forecasting is among the most important use case associated with smart
cities. Traffic forecasting allows drivers to select the fastest route towards their target …
cities. Traffic forecasting allows drivers to select the fastest route towards their target …
[HTML][HTML] Traffic flow prediction: an intelligent scheme for forecasting traffic flow using air pollution data in smart cities with bagging ensemble
Traffic flow prediction is the most critical part of any traffic management system in a smart
city. It can help a driver to pick the most optimized way to their target destination. Air pollution …
city. It can help a driver to pick the most optimized way to their target destination. Air pollution …
[HTML][HTML] Improving road traffic forecasting using air pollution and atmospheric data: Experiments based on LSTM recurrent neural networks
Traffic flow forecasting is one of the most important use cases related to smart cities. In
addition to assisting traffic management authorities, traffic forecasting can help drivers to …
addition to assisting traffic management authorities, traffic forecasting can help drivers to …
[HTML][HTML] Generative Adversarial Networks (GAN) and HDFS-Based Realtime Traffic Forecasting System Using CCTV Surveillance
P Devadhas Sujakumari, P Dassan - Symmetry, 2023 - mdpi.com
The most crucial component of any smart city traffic management system is traffic flow
prediction. It can assist a driver in selecting the most efficient route to their destination. The …
prediction. It can assist a driver in selecting the most efficient route to their destination. The …
A stochastic mobility model for traffic forecasting in urban environments
With the steadily growing traffic demand, urban traffic congestion is becoming a critical issue
threatening several factors, including public safety, emissions of greenhouse gas, and …
threatening several factors, including public safety, emissions of greenhouse gas, and …
Arde-n-beats: An evolutionary deep learning framework for urban traffic flow prediction
Accurate and reliable traffic flow prediction is difficult due to the highly nonlinear, complex,
and stochastic natures of urban traffic flow data, but its solutions are critically important for …
and stochastic natures of urban traffic flow data, but its solutions are critically important for …
A novel cloud-based traffic aware data routing protocol for smart connected vehicles
H Cui, P Sun, A Boukerche - Computing, 2022 - Springer
In recent years, increasing concern about safe driving has stimulated the development of
intelligent transportation systems (ITS). One of the critical technologies for realizing ITS is …
intelligent transportation systems (ITS). One of the critical technologies for realizing ITS is …
[图书][B] Enabling 6G Mobile Networks
The future society is heading towards an increasingly digitized world that is connected and
data driven, where many services will be dependent on instant and virtually unlimited …
data driven, where many services will be dependent on instant and virtually unlimited …
A belief propagation solution for beam coordination in mmWave vehicular networks
ZL Fazliu, F Malandrino… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Millimeter-wave communication is widely seen as a promising option to increase the
capacity of vehicular networks, where it is expected that connected cars will soon need to …
capacity of vehicular networks, where it is expected that connected cars will soon need to …