Results 71 to 80 of about 11,119,065 (317)

Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network

Sensors, 2022
As the aggravation of road congestion leads to frequent traffic crashes, it is necessary to relieve traffic pressure through traffic flow prediction.
Ruizhe Shi, Lijing Du
doaj   +1 more source

Expressway Exit Station Short-Term Traffic Flow Prediction With Split Traffic Flows According Originating Entry Stations

, 2021
As an essential component of Intelligent Transportation Systems (ITS), short-term traffic flow prediction is a key step to anticipate traffic congestion. Due to the availability of massive traffic data, data-driven methods with a variety of features have
Housong Ruan, Bangyu Wu, Zhu Chen, Weiguo Yun, Bin Li   +4 more
core   +1 more source

Silicone Breast Implants as a Model System for Understanding Polymer Permeation in Soft Materials In Vivo

Advanced Healthcare Materials, EarlyView.
Silicone breast implants are presented as a model system for understanding polymer permeation in vivo. Rather than representing material failure, “gel bleed” emerges from solution–diffusion transport‐mediated. By integrating polymer architecture, physicochemical transport, and biointerfacial processes, this review provides a unified framework that ...
D. Bouyer, H. Mutlu, C. Charmette, E. Randrianaridera, Z. Adaidi, R. Hedna, L. Pieuchot, I. Pluvy, K. Anselme, N. Couturier, J. P. Mericq, A. Ponche, I. Brigaud   +12 more
wiley   +1 more source

An Improved K-nearest Neighbor Model for Short-term Traffic Flow Prediction [PDF]

, 2013
In order to accurately predict the short-term traffic flow, this paper presents a k-nearest neighbor (KNN) model. Short-term urban expressway flow prediction system based on k-NN is established in three aspects: the historical database, the search ...
Dong, Decun, Yang, Wenchen, Wei, Nai, Liu, Qiuchen, Zhang, Lun   +4 more
core   +1 more source

Blood–Brain Barrier Regulation: Evolving From Classic Strategies to Electrochemical Ion and Reactive Oxygen Species Control

Advanced Healthcare Materials, EarlyView.
Conventional therapies suffer from poor blood–brain barrier (BBB) penetration and disordered ion/reactive oxygen species (ROS) homeostasis, hindering precise neurological treatment. Electrochemical strategies achieve accurate spatiotemporal regulation of neural homeostasis.
Xiaokang Hu, Caiyu Liu, Meijun Pang, Zhiyuan Shi, Dong Ming, Xiuyun Liu   +5 more
wiley   +1 more source

Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis

物联网学报, 2019
Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-
Lingchao HE, Dong LIN, Xinxin FENG
doaj   +2 more sources

A short-term traffic flow prediction network using filter-genetic feature selection method

Urban Lifeline
Accurate selection of spatial-temporal features is key to the short-term traffic flow prediction model outputting higher quality results, which can effectively reduce the difficulty of constructing the prediction model.
Bo Wang, Pinzheng Qian, Yang Cheng, Yu Qian, Jian Zhang   +4 more
doaj   +1 more source

Distributed Short-Term Traffic Flow Prediction Based on Integrating Federated Learning and TCN

IEEE Access
Existing short-term traffic flow prediction methods are based on centralized learning frameworks, which do not consider the diversity of data, leading to limited predictive performance. Additionally, these methods face challenges related to computational
Tongbin Liu, Yong Wang, Hongyu Zhou, Jian Luo, Fang-Ming Deng   +4 more
semanticscholar   +1 more source

Hybrid hidden Markov LSTM for short-term traffic flow prediction

CoRR, 2023
Deep learning (DL) methods have outperformed parametric models such as historical average, ARIMA and variants in predicting traffic variables into short and near-short future, that are critical for traffic management. Specifically, recurrent neural network (RNN) and its variants (e.g.
Agnimitra Sengupta, Adway Das, S. Ilgin Guler   +2 more
openaire   +3 more sources

A Short-term Freeway Traffic Flow Prediction Method Based on Road Section Traffic Flow Structure Pattern

, 2012
Accurate short-term traffic flow prediction is the foundation of the efficient and proactive management of freeway networks, especially on the abnormal traffic states. The relationship between traffic flow on the current section and the upstream stations
Xie, Kunqing, Kunqing Xie, Ping Zhang, Guojie Song, Zhang, Ping, Song, Guojie   +5 more
core   +1 more source