[PDF][PDF] Deep learning methods in short-term traffic prediction: A survey
Y Hou, X Zheng, C Han, W Wei, R Scherer… - … Technology and Control, 2022 - itc.ktu.lt
Deep Learning Methods in Short-Term Traffic Prediction: A Survey Page 1 139 Information
Technology and Control 2022/1/51 Deep Learning Methods in Short-Term Traffic Prediction …
Technology and Control 2022/1/51 Deep Learning Methods in Short-Term Traffic Prediction …
A survey on modern deep neural network for traffic prediction: Trends, methods and challenges
In this modern era, traffic congestion has become a major source of severe negative
economic and environmental impact for urban areas worldwide. One of the most efficient …
economic and environmental impact for urban areas worldwide. One of the most efficient …
A survey on modern deep neural network for traffic prediction: Trends, methods and challenges
In this modern era, traffic congestion has become a major source of negative economic and
environmental impact for urban areas worldwide. One of the most efficient ways to mitigate …
environmental impact for urban areas worldwide. One of the most efficient ways to mitigate …
Machine learning and deep learning models for traffic flow prediction: A survey
A Gobezie, MS Fufa - 2020 - researchsquare.com
Traffic congestion is one of the problems for cities around the world due to the rapid
increasing of vehicles in urbanization. Traffic flow prediction is of a great importance for …
increasing of vehicles in urbanization. Traffic flow prediction is of a great importance for …
TrafFormer: A transformer model for predicting long-term traffic
DA Tedjopurnomo, FM Choudhury, AK Qin - arXiv preprint arXiv …, 2023 - arxiv.org
Traffic prediction is a flourishing research field due to its importance in human mobility in the
urban space. Despite this, existing studies only focus on short-term prediction of up to few …
urban space. Despite this, existing studies only focus on short-term prediction of up to few …
[HTML][HTML] Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning
The development of the Internet of Things (IoT) has produced new innovative solutions, such
as smart cities, which enable humans to have a more efficient, convenient and smarter way …
as smart cities, which enable humans to have a more efficient, convenient and smarter way …
Transfer knowledge between sub-regions for traffic prediction using deep learning method
Y Ren, K Xie - Intelligent Data Engineering and Automated Learning …, 2019 - Springer
In modern society, traffic is a very important aspect of our social lives, but a lot of problems
arise such as traffic accident, congestion, air pollution, etc. The emergence of ITS (Intelligent …
arise such as traffic accident, congestion, air pollution, etc. The emergence of ITS (Intelligent …
Deeptrend: A deep hierarchical neural network for traffic flow prediction
In this paper, we consider the temporal pattern in traffic flow time series, and implement a
deep learning model for traffic flow prediction. Detrending based methods decompose …
deep learning model for traffic flow prediction. Detrending based methods decompose …
Implementing a deep learning framework for short term traffic flow prediction
Traffic congestion in highway systems has become more serious. Recently, with the
development of advanced technologies for intelligent transportation system, many studies …
development of advanced technologies for intelligent transportation system, many studies …
Using deep learning to predict short term traffic flow: A systematic literature review
This paper systematically reviews Deep Learning-based methods for traffic flow prediction.
We extracted 26 articles using a concrete methodology and reviewed them from two …
We extracted 26 articles using a concrete methodology and reviewed them from two …