Survey on traffic prediction in smart cities

AM Nagy, V Simon - Pervasive and Mobile Computing, 2018 - Elsevier
The rapid development in machine learning and in the emergence of new data sources
makes it possible to examine and predict traffic conditions in smart cities more accurately …

A hybrid deep learning model with attention-based conv-LSTM networks for short-term traffic flow prediction

H Zheng, F Lin, X Feng, Y Chen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …

Short-term traffic flow prediction using seasonal ARIMA model with limited input data

SV Kumar, L Vanajakshi - European Transport Research Review, 2015 - Springer
Background Accurate prediction of traffic flow is an integral component in most of the
Intelligent Transportation Systems (ITS) applications. The data driven approach using Box …

Deep architecture for traffic flow prediction: Deep belief networks with multitask learning

W Huang, G Song, H Hong, K Xie - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Traffic flow prediction is a fundamental problem in transportation modeling and
management. Many existing approaches fail to provide favorable results due to being: 1) …

Adaptive multi-kernel SVM with spatial–temporal correlation for short-term traffic flow prediction

X Feng, X Ling, H Zheng, Z Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Accurate estimation of the traffic state can help to address the issue of urban traffic
congestion, providing guiding advices for people's travel and traffic regulation. In this paper …

Short-term traffic forecasting: Where we are and where we're going

EI Vlahogianni, MG Karlaftis, JC Golias - Transportation Research Part C …, 2014 - Elsevier
Since the early 1980s, short-term traffic forecasting has been an integral part of most
Intelligent Transportation Systems (ITS) research and applications; most effort has gone into …

Road surface friction prediction using long short-term memory neural network based on historical data

Z Pu, C Liu, X Shi, Z Cui, Y Wang - Journal of Intelligent …, 2021 - Taylor & Francis
Road surface friction significantly impacts traffic safety and mobility. A precise road surface
friction prediction model can help to alleviate the influence of inclement road conditions on …

Short-term traffic flow forecasting: An experimental comparison of time-series analysis and supervised learning

M Lippi, M Bertini, P Frasconi - IEEE Transactions on Intelligent …, 2013 - ieeexplore.ieee.org
The literature on short-term traffic flow forecasting has undergone great development
recently. Many works, describing a wide variety of different approaches, which very often …

Deep learning for edge computing applications: A state-of-the-art survey

F Wang, M Zhang, X Wang, X Ma, J Liu - IEEE Access, 2020 - ieeexplore.ieee.org
With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …

A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system

Y Sun, B Leng, W Guan - Neurocomputing, 2015 - Elsevier
In order to effectively manage the use of existing infrastructures and prevent the emergency
caused by the large gathered crowd, the short-term passenger flow forecasting technology …