Results 251 to 260 of about 154,707 (286)

The Urban Road Short-Term Traffic Flow Prediction Research

Applied Mechanics and Materials, 2013
To predict the future traffic flow status more accurately is of great significance to alleviate urban traffic congestion for a short period of time and avoid the waste of social resources. At first, this paper summarizes the characteristics of urban expressway traffic flow.
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Short-Term Traffic Flow Prediction Based on Hybrid Model

2020
Accurate and reliable short-term traffic flow prediction can provide effective help for people’s travel and road planning. In order to improve the accuracy of short-term traffic flow prediction, this paper proposes a hybrid model of improve long-term short-term memory (LSTM) and radial basis function neural network (RBFNN).
Yong Hu, Meng Yu, Guanxiang Yin, Fei Du, Meng Wang, Yuejin Zhang   +5 more
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Application of Autoformer to Short-Term Traffic Flow Prediction

International Journal Of Scientific Advances
This paper investigates the application of Autoformer model in the field of short-term traffic flow prediction. Traffic flow prediction is crucial for urban planning and traffic management, and is important for relieving traffic congestion and improving traffic efficiency.
Shuncai Luo, Qingying Li
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Short-Term Traffic Flow Prediction: Techniques and Methods

Applied and Computational Engineering
With the development of the economy, the expansion of the city scale, the increase in the population of urban residents and the increase in the per capita car ownership, the traffic congestion problem has an increasing impact on urban operation. Especially during the peak period of commuting traffic and holidays in large cities, most cities are facing ...
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Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms

Intelligent Transportation Systems Journal, 2002
This paper presents a new short-term traffic flow prediction system based on an advanced Time Delay Neural Network (TDNN) model, the structure of which is synthesized using a Genetic Algorithm (GA). The model predicts flow and occupancy values at a given freeway section based on contributions from their recent temporal profile (over a few minutes) as ...
Baher Abdulhai, Himanshu Porwal, Will Recker   +2 more
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Broad Learning for Optimal Short-Term Traffic Flow Prediction

2019
In this work, we explore the use of a Broad Learning System (BLS) as a way to replace deep learning architectures for traffic flow prediction. BLS is shown to not only outperforms standard learning algorithms (Least absolute shrinkage and selection operator (LASSO), shallow and deep neural networks, stacked autoencoders) in terms of training time, but ...
Di Liu, Wenwu Yu, Simone Baldi
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The Short-Term Predictability of Traffic Flow

Traffic and Transportation Studies (2000), 2000
Shoufeng Ma, Guoguang He, Lanpu Du
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Robust ensemble method for short-term traffic flow prediction

Future Generation Computer Systems, 2022
He Yan, Liyong Fu, Yong Qi, Dong-Jun Yu, Qiaolin Ye   +4 more
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Short-term Traffic Flow Prediction based on GMO-DELM

2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS), 2022
Zhiyan Tian, Di He
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Technological Innovations in Photochemistry for Organic Synthesis: Flow Chemistry, High-Throughput Experimentation, Scale-up, and Photoelectrochemistry

Chemical Reviews, 2022
Laura Buglioni, Stefan D A Zondag, Timothy Noel   +2 more
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