Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
Traffic flow prediction is important for urban planning and traffic congestion alleviation as
well as for intelligent traffic management systems. Due to the periodic characteristics and …
well as for intelligent traffic management systems. Due to the periodic characteristics and …
A Review on Developments in Evolutionary Computation Approaches for Road Traffic Flow Prediction
Widespread traffic congestion significantly impacts the quality of life, posing several
problems and challenges. To reduce traffic congestion, it is necessary to have accurate …
problems and challenges. To reduce traffic congestion, it is necessary to have accurate …
Feasibility of stochastic models for evaluation of potential factors for safety: a case study in Southern Italy
There is no definite conclusion about what the main variables that play a fundamental role in
road safety are. Therefore, the identification of significant factors in road accidents has been …
road safety are. Therefore, the identification of significant factors in road accidents has been …
Simultaneous estimation of vehicle roll and sideslip angles through a deep learning approach
LP González, SS Sánchez, J Garcia-Guzman… - Sensors, 2020 - mdpi.com
Presently, autonomous vehicles are on the rise and are expected to be on the roads in the
coming years. In this sense, it becomes necessary to have adequate knowledge about its …
coming years. In this sense, it becomes necessary to have adequate knowledge about its …
A systematic survey on big data and artificial intelligence algorithms for intelligent transportation system
Rapid urbanization and globalization have resulted in intolerable congestion and traffic,
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …
[HTML][HTML] Hybrid deep learning-based traffic congestion control in IoT environment using enhanced arithmetic optimization technique
Abstract The Internet of Things (IoT) is essential in several Internet application areas and
remains a key technology for communication technologies. Shorter delays in transmission …
remains a key technology for communication technologies. Shorter delays in transmission …
Using PSO-SVR algorithm to predict asphalt pavement performance
Because of the relatively low accuracy of the current asphalt pavement performance
prediction, a new pavement performance prediction model was established based on the …
prediction, a new pavement performance prediction model was established based on the …
[HTML][HTML] Intelligent resource allocation in wireless networks: Predictive models for efficient access point management
With the significant increase in mobile users connected to the wireless network, coupled with
the escalating energy consumption and the risk of network saturation, the search for …
the escalating energy consumption and the risk of network saturation, the search for …
[PDF][PDF] Intelligent Slime Mould Optimization with Deep Learning Enabled Traffic Prediction in Smart Cities.
Intelligent Transportation System (ITS) is one of the revolutionary technologies in smart cities
that helps in reducing traffic congestion and enhancing traffic quality. With the help of big …
that helps in reducing traffic congestion and enhancing traffic quality. With the help of big …
Analysis of machine learning techniques applied to sensory detection of vehicles in intelligent crosswalks
JM Lozano Domínguez, F Al-Tam, TJ Mateo Sanguino… - Sensors, 2020 - mdpi.com
Improving road safety through artificial intelligence-based systems is now crucial turning
smart cities into a reality. Under this highly relevant and extensive heading, an approach is …
smart cities into a reality. Under this highly relevant and extensive heading, an approach is …