Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
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 …
critical problem globally, resulting in negative consequences such as lost hours of additional …
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 …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
Sensing data supported traffic flow prediction via denoising schemes and ANN: A comparison
Short-term traffic flow prediction plays a key role of Intelligent Transportation System (ITS),
which supports traffic planning, traffic management and control, roadway safety evaluation …
which supports traffic planning, traffic management and control, roadway safety evaluation …
A temporal fusion transformer for short-term freeway traffic speed multistep prediction
Accurate short-term freeway speed prediction is a key component for intelligent
transportation management and can help travelers plan travel routes. However, very few …
transportation management and can help travelers plan travel routes. However, very few …
A novel STFSA-CNN-GRU hybrid model for short-term traffic speed prediction
C Ma, Y Zhao, G Dai, X Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Short-term traffic speed prediction is fundamental to intelligent transportation systems (ITS),
and the accuracy of the model largely determines the performance of real-time traffic control …
and the accuracy of the model largely determines the performance of real-time traffic control …
Deep learning for road traffic forecasting: Does it make a difference?
Deep Learning methods have been proven to be flexible to model complex phenomena.
This has also been the case of Intelligent Transportation Systems, in which several areas …
This has also been the case of Intelligent Transportation Systems, in which several areas …
Exploring the impact of climate and extreme weather on fatal traffic accidents
Climate change and the extreme weather have a negative impact on road traffic safety,
resulting in severe road traffic accidents. In this study, a negative binomial model and a log …
resulting in severe road traffic accidents. In this study, a negative binomial model and a log …
Application of the bayesian model averaging in analyzing freeway traffic incident clearance time for emergency management
Identifying the influential factors in incident duration is important for traffic management
agency to mitigate the impact of traffic incidents on freeway operation. Previous studies have …
agency to mitigate the impact of traffic incidents on freeway operation. Previous studies have …
Expressway speed prediction based on electronic toll collection data
F Zou, Q Ren, J Tian, F Guo, S Huang, L Liao, J Wu - Electronics, 2022 - mdpi.com
Expressway section speed can visually reflect the section operation condition, and accurate
short time section speed prediction has a wide range of applications in path planning and …
short time section speed prediction has a wide range of applications in path planning and …
Short-term freeway traffic speed multistep prediction using an iTransformer model
Accurate prediction of the freeway traffic speed is important for enhancing intelligent
transportation management and assisting with route planning. Current traffic speed …
transportation management and assisting with route planning. Current traffic speed …