A review of deep learning models for traffic flow prediction in Autonomous Vehicles
More and more rapid development has been seen in the last decade in self-driving car
technologies, mostly developments in the field of machine learning and deep learning. The …
technologies, mostly developments in the field of machine learning and deep learning. The …
Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges
In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …
[PDF][PDF] A Review on Traffic Flow Prediction Methods for Autonomous Vehicular System
In the past few years, advancement in self-driving car technology has been developing
steadily exponentially, primarily promoting progress in deep learning. This study is aimed at …
steadily exponentially, primarily promoting progress in deep learning. This study is aimed at …
Real-time system for short-and long-term prediction of vehicle flow
Nowadays, traffic management and sustainable mobility are becoming one of the central
topics for intelligent transportation systems (ITS). Thanks to the today's technologies, it is …
topics for intelligent transportation systems (ITS). Thanks to the today's technologies, it is …
Deep learning based traffic flow prediction for autonomous vehicular mobile networks
SAA Shah, K Illanko, X Fernando - 2021 IEEE 94th Vehicular …, 2021 - ieeexplore.ieee.org
Accurate traffic flow prediction plays a crucial role in designing Ad hoc vehicular mobile
networks in modern Internet of things (IoT) based intelligent systems. Several deep learning …
networks in modern Internet of things (IoT) based intelligent systems. Several deep learning …
Traffic flow modeling using available cloud-based traffic velocity information
L Benninger, O Sawodny - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Due to a constantly increasing interest in autonomous driving, the development of advanced
driver assistance systems plays an important role in automotive industry. Current research …
driver assistance systems plays an important role in automotive industry. Current research …
Vehicular Traffic Flow Prediction Model Using Machine Learning-Based Model
J Wang - 2021 - ruor.uottawa.ca
Intelligent Transportation Systems (ITS) have attracted an increasing amount of attention in
recent years. Thanks to the fast development of vehicular computing hardware, vehicular …
recent years. Thanks to the fast development of vehicular computing hardware, vehicular …
Traffic prediction for intelligent transportation system using machine learning
G Meena, D Sharma, M Mahrishi - 2020 3rd International …, 2020 - ieeexplore.ieee.org
This paper aims to develop a tool for predicting accurate and timely traffic flow Information.
Traffic Environment involves everything that can affect the traffic flowing on the road, whether …
Traffic Environment involves everything that can affect the traffic flowing on the road, whether …
Spatial-temporal structures of deep learning models for traffic flow forecasting: a survey
Q Luo, Y Zhou - 2021 4th International Conference on …, 2021 - ieeexplore.ieee.org
Traffic forecasting is important for the success of intelligent transportation systems. In recent
years, deep learning methods, such as convolution neural networks, recurrent neural …
years, deep learning methods, such as convolution neural networks, recurrent neural …
The facets of machine learning in lane change prediction of vehicular traffic flow
S Upadhyaya, D Mehrotra - … on Intelligent Cyber-Physical Systems: ICPS …, 2022 - Springer
The Intelligence of the transportation systems is an emerging area in the domain of
technological research. There exists an imminent demand for reduced congestion in cities …
technological research. There exists an imminent demand for reduced congestion in cities …