[HTML][HTML] A survey of traffic prediction: from spatio-temporal data to intelligent transportation

H Yuan, G Li - Data Science and Engineering, 2021 - Springer
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

Machine learning-based traffic prediction models for intelligent transportation systems

A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …

Traffic prediction using artificial intelligence: review of recent advances and emerging opportunities

M Shaygan, C Meese, W Li, XG Zhao… - … research part C: emerging …, 2022 - Elsevier
Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Mining the situation: Spatiotemporal traffic prediction with big data

J Xu, D Deng, U Demiryurek, C Shahabi… - IEEE Journal of …, 2015 - ieeexplore.ieee.org
With the vast availability of traffic sensors from which traffic information can be derived, a lot
of research effort has been devoted to developing traffic prediction techniques, which in turn …

A brief overview of machine learning methods for short-term traffic forecasting and future directions

Y Li, C Shahabi - Sigspatial Special, 2018 - dl.acm.org
Short-term traffic forecasting is a vital part of intelligent transportation systems. Recently, the
combination of unprecedented data availability and the repaid development of machine …

Short-term traffic flow prediction: From the perspective of traffic flow decomposition

L Chen, L Zheng, J Yang, D Xia, W Liu - Neurocomputing, 2020 - Elsevier
Some researchers treat traffic flow as an entirety while predicting short-term traffic flow.
Through analyzing real-world traffic flow, we have found that urban traffic shows a stable …

Urban regional function guided traffic flow prediction

K Wang, LB Liu, Y Liu, GB Li, F Zhou, L Lin - Information Sciences, 2023 - Elsevier
The prediction of traffic flow is a challenging yet crucial problem in spatial-temporal analysis,
which has recently gained increasing interest. In addition to spatial-temporal correlations …

Deep learning on traffic prediction: Methods, analysis, and future directions

X Yin, G Wu, J Wei, Y Shen, H Qi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic
prediction can assist route planing, guide vehicle dispatching, and mitigate traffic …

Libcity: An open library for traffic prediction

J Wang, J Jiang, W Jiang, C Li, WX Zhao - Proceedings of the 29th …, 2021 - dl.acm.org
With the increase of traffic prediction models, there has become an urgent need to develop a
standardized framework to implement and evaluate these methods. This paper presents …

Short‐term highway traffic flow prediction based on a hybrid strategy considering temporal–spatial information

L Li, S He, J Zhang, B Ran - Journal of Advanced …, 2016 - Wiley Online Library
Short‐term traffic flow prediction is fundamental for the intelligent transportation system and
is proved to be a challenge. This paper proposed a hybrid strategy that is general and can …