Results 41 to 50 of about 11,119,065 (317)

A Hybrid Framework Combining LSTM NN and BNN for Short-term Traffic Flow Prediction and Uncertainty Quantification

KSCE Journal of Civil Engineering, 2023
Short-term traffic flow prediction plays a critical role in Intelligent Transportation System (ITS), and has attracted continuous attention. Previous studies have focused on improving the prediction accuracy of mean traffic flow.
Yin-Pu Wang, Siping Ke, Chengchuan An, Zhen-Bo Lu, Jing-Xin Xia   +4 more
semanticscholar   +1 more source

Short-term intersection traffic flow forecasting [PDF]

, 2020
The intersection is a bottleneck in an urban roadway network. As traffic demand increases, there is a growing congestion problem at urban intersections.
Zhao, Qun, Liu, Shasha, Yang, Lu, Li, Jinhong, Li, Delin, Qi, Yi, Qu, Wenrui   +6 more
core   +2 more sources

A intelligent particle swarm optimization for short-term traffic flow forecasting using on-road sensor systems [PDF]

, 2013
On-road sensor systems installed on freeways are used to capture traffic flow data for short-term traffic flow predictors for traffic management, in order to reduce traffic congestion and improve vehicular mobility.
Chan, Kit Yan, Dillon, Tharam, Chang, Elizabeth, Dillon, Tharam S   +3 more
core   +1 more source

Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow

Journal of Advanced Transportation, 2022
By predicting and informing the future of traffic through intelligent transportation systems, there is more readiness to avoid traffic congestion. In this study, an ensemble learning process is proposed to predict the hourly traffic flow.
Arash Rasaizadi, Seyedehsan Seyedabrishami   +1 more
doaj   +1 more source

Short-Term Traffic Speed Prediction Using Hybrid LSTM-SVR Model

, 2023
Traffic speed prediction uses historical data to model traffic patterns and generates forecasts for future steps. As the number of vehicles surges significantly, traffic congestion could negatively affect the quality of life, human health, and the ...
Vu, VH, Ren, Z, Jo, J, Quach, KND, Nguyen, TT, Tran, KV, Chun, Y   +6 more
core   +1 more source

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

European Transport Research Review, 2015
Accurate prediction of traffic flow is an integral component in most of the Intelligent Transportation Systems (ITS) applications. The data driven approach using Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models reported in most studies
S. Kumar, L. Vanajakshi
semanticscholar   +1 more source

Short-Term Traffic Flow Prediction Considering Weather Factors Based on Optimized Deep Learning Neural Networks: Bo-GRA-CNN-BiLSTM

Sustainability
Accurately predicting road traffic flows is a primary challenge in the development of smart cities, providing a scientific basis and reference for urban planning, construction, and traffic management.
Chaojun Wang, Shulin Huang, Cheng Zhang
semanticscholar   +1 more source

A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction

IEEE Access, 2021
An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li, Songjian Chai, Zhengwei Ma, Guibin Wang   +3 more
doaj   +1 more source

Short-term prediction of traffic flow status for online driver information [PDF]

, 2009
The principal aim of this study was to develop a method for making a short-term prediction model of traffic flow status (i.e. travel time and a five-step travel-speed-based classification) and test its performance in the real world environment ...
Innamaa, Satu
core   +1 more source

Short‐term traffic flow prediction approach incorporating vehicle functions from RFID‐ELP data for urban road sections

IET Intelligent Transport Systems, 2023
Short‐term traffic flow prediction is particularly important for urban traffic control and congestion management. To improve the accuracy of traffic flow prediction, a new traffic flow prediction approach is proposed from the perspective of vehicle ...
Shuai Huang, Dihua Sun, Min Zhao, Jin Chen, Rui Chen   +4 more
doaj   +1 more source