Results 31 to 40 of about 154,459 (280)

Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks

, 2019
Short-term traffic flow prediction is one of the crucial issues in intelligent transportation system, which is an important part of smart cities. Accurate predictions can enable both the drivers and the passengers to make better decisions about their ...
Bahrak, Behnam, Mahini, Hamid, Nejadettehad, Alireza   +2 more
core   +1 more source

Travel Time Prediction using Tree-Based Ensembles

, 2020
In this paper, we consider the task of predicting travel times between two arbitrary points in an urban scenario. We view this problem from two temporal perspectives: long-term forecasting with a horizon of several days and short-term forecasting with a ...
B Yu, CH Wu, CM Chen, F Pedregosa, H Chang, JWC Van Lint, L Breiman, L Breiman, M Ulmer, P Geurts, R Mitchell, T Hastie, Y Zhang   +12 more
core   +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   +2 more sources

Short-Term Prediction of Traffic Flow Based on the Comprehensive Cloud Model

Mathematics
Short-term traffic flow prediction plays a crucial role in transportation systems by describing the time evolution of traffic flow over short periods, such as seconds, minutes, or hours. It helps people make informed decisions about their routes to avoid
Jianhua Dong
doaj   +1 more source

Short-time prediction for traffic flow based on wavelet de-noising and LSTM model

Journal of Measurement Science and Instrumentation, 2021
Aiming at the problem that some existing traffic flow prediction models are only for a single road segment and the model input data are not pre-processed, a heuristic threshold algorithm is used to de-noise the original traffic flow data after wavelet ...
WANG Qingrong, LI Tongwei, ZHU Changfeng
doaj  

Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting

Journal of Mathematics, 2023
Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic ...
Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei   +4 more
doaj   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

Molecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang, Ayesha Alvero, Yi Qin, Mingjin Wang, Alexandra Fox, Yanfeng Li, Michael Millman, Amy Kemper, Gil Mor, Xian Shuang Liu, Michael Chopp, Zheng Gang Zhang, Yi Zhang   +12 more
wiley   +1 more source

Spatio-Temporal Residual Graph Convolutional Network for Short-Term Traffic Flow Prediction

IEEE Access, 2023
Accurate spatio-temporal traffic flow prediction is a significant research direction in the intelligent transport system. Current prediction methods have limitations in spatio-temporal feature extraction, and the prediction results have poor performance.
Qingyong Zhang, Meifang Tan, Changwu Li, Huiwen Xia, Wanfeng Chang, Minglong Li   +5 more
doaj   +1 more source

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

Molecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen, Kristiane Søreng, Chiara Veroni, Laura Trachsel‐Moncho, Nagham Asp, Robin Gaupset, Lars Gustav Lyckander, Helene Knævelsrud, Lars Eftang, Anne Simonsen   +9 more
wiley   +1 more source

An Effective Self-Attention-Based Hybrid Model for Short-Term Traffic Flow Prediction

Advances in Civil Engineering, 2023
Vehicle exhaust is one of the main sources of carbon emissions. The short-term traffic flow prediction plays an important role in alleviating traffic congestion, optimizing the travel structure, and reducing traffic carbon emissions. The current advanced
Zhihong Li, Xiaoyu Wang, Kairan Yang
doaj   +1 more source