Results 11 to 20 of about 10,094,639 (283)

On short-term traffic flow forecasting and its reliability [PDF]

IFAC-PapersOnLine, 2016
8th IFAC Conference on Manufacturing Modeling, Management & Control (Troyes, France, June 2016)
Abouaïssa, Hassane, Fliess, Michel, Join, Cédric   +2 more
core   +9 more sources

Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting

Mathematics
Reliable forecasting of short-term traffic flow is an essential component of modern intelligent transport systems. However, existing methods fail to deal with the non-linear nature of short-term traffic flow, often making the forecasting unreliable ...
Huayuan Chen, Zhizhe Lin, Yamin Yao, Hai Xie, Youyi Song, Teng Zhou   +5 more
doaj   +2 more sources

Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set [PDF]

Promet (Zagreb), 2020
Forecasting short-term traffic flow using historical data is a difficult goal to achieve due to the randomness of the event. Due to the lack of a solid approach to short-term traffic prediction, the researchers are still working on novel approaches. This
Erdem Doğan
doaj   +2 more sources

Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm

Discrete Dynamics in Nature and Society, 2018
Short-term traffic flow forecasting is one of the key issues in the field of dynamic traffic control and management. Because of the uncertainty and nonlinearity, short-term traffic flow forecasting remains a challenging task.
Qichun Bing, Dayi Qu, Xiufeng Chen, Fuquan Pan, Jinli Wei   +4 more
doaj   +2 more sources

SSA-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting

Mathematics
Nowadays, accurate and efficient short-term traffic flow forecasting plays a critical role in intelligent transportation systems (ITS). However, due to the fact that traffic flow is susceptible to factors such as weather and road conditions, traffic flow
Fei Wang, Yinxi Liang, Zhizhe Lin, Jinglin Zhou, Teng Zhou   +4 more
doaj   +2 more sources

Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting [PDF]

Data Science and Engineering, 2017
Data streams have arisen as a relevant topic during the last few years as an efficient method for extracting knowledge from big data. In the robust layered ensemble model (RLEM) proposed in this paper for short-term traffic flow forecasting, incoming ...
Amr Abdullatif, Francesco Masulli, Stefano Rovetta   +2 more
doaj   +2 more sources

An adaptive composite time series forecasting model for short-term traffic flow

Journal of Big Data
Short-term traffic flow forecasting is a hot issue in the field of intelligent transportation. The research field of traffic forecasting has evolved greatly in past decades.
Qitan Shao, Xinglin Piao, Xiangyu Yao, Yuqiu Kong, Yongli Hu, Baocai Yin, Yong Zhang   +6 more
doaj   +2 more sources

A Hybrid Short-term Traffic Flow Forecasting Method Based on Neural Networks Combined with K-Nearest Neighbor [PDF]

Promet (Zagreb), 2018
It is critical to implement accurate short-term traffic forecasting in traffic management and control applications. This paper proposes a hybrid forecasting method based on neural networks combined with the K-nearest neighbor (K-NN) method for short-term
Zhao Liu, Jianhua Guo, Jinde Cao, Yun Wei, Wei Huang   +4 more
doaj   +2 more sources

GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting

IET Intelligent Transport Systems, 2022
Accurate and timely short‐term traffic flow forecasting is an essential component for intelligent traffic management systems. However, developing an effective and robust forecasting model is challenging due to the inherent randomness and nonlinear ...
Zhihan Cui, Boyu Huang, Haowen Dou, Guanru Tan, Shiqiang Zheng, Teng Zhou   +5 more
doaj   +1 more source

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