A survey of traffic prediction: from spatio-temporal data to intelligent transportation
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 …
[HTML][HTML] Urban traffic flow prediction techniques: A review
B Medina-Salgado, E Sánchez-DelaCruz… - … Informatics and Systems, 2022 - Elsevier
In recent decades, the development of transport infrastructure has had a great development,
although traffic problems continue to spread due to increase due to the increase in the …
although traffic problems continue to spread due to increase due to the increase in the …
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 …
Traffic flow prediction by an ensemble framework with data denoising and deep learning model
Accurate traffic flow data is important for traffic flow state estimation, real-time traffic
management and control, etc. Raw traffic flow data collected from inductive detectors may be …
management and control, etc. Raw traffic flow data collected from inductive detectors may be …
Unidirectional and bidirectional LSTM models for short‐term traffic prediction
This paper presents the development and evaluation of short‐term traffic prediction models
using unidirectional and bidirectional deep learning long short‐term memory (LSTM) neural …
using unidirectional and bidirectional deep learning long short‐term memory (LSTM) neural …
Spatial‐temporal attention wavenet: A deep learning framework for traffic prediction considering spatial‐temporal dependencies
Traffic prediction on road networks is highly challenging due to the complexity of traffic
systems and is a crucial task in successful intelligent traffic system applications. Existing …
systems and is a crucial task in successful intelligent traffic system applications. Existing …
Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method
Z Qu, J Xu, Z Wang, R Chi, H Liu - Energy, 2021 - Elsevier
Electric power makes a significant contribution to society. Predicting power generation is
becoming increasingly important for electric power planning and energy utilization. A …
becoming increasingly important for electric power planning and energy utilization. A …
Towards greener smart cities and road traffic forecasting using air pollution data
Road traffic flow forecasting is among the most important use case associated with smart
cities. Traffic forecasting allows drivers to select the fastest route towards their target …
cities. Traffic forecasting allows drivers to select the fastest route towards their target …
Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction
Y Peng, W Xiang - Physica A: Statistical Mechanics and its Applications, 2020 - Elsevier
Accurate traffic volume prediction can help traffic managers to control traffic well, and can
also provide convenient travel routes for passengers. In order to better describe the non …
also provide convenient travel routes for passengers. In order to better describe the non …
Spatiotemporal gated graph attention network for urban traffic flow prediction based on license plate recognition data
The accurate forecasting of traffic states is an essential application of intelligent
transportation system. Due to the periodic signal control at intersections, the traffic flow in an …
transportation system. Due to the periodic signal control at intersections, the traffic flow in an …