Results 31 to 40 of about 154,707 (286)

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

Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction

, 2017
Tracking congestion throughout the network road is a critical component of Intelligent transportation network management systems. Understanding how the traffic flows and short-term prediction of congestion occurrence due to rush-hour or incidents can be ...
Elmasri, Ramez, Fouladgar, Mohammadhani, Ghaderi, Amir, Parchami, Mostafa   +3 more
core   +1 more source

Autonomous detection and anticipation of jam fronts from messages propagated by inter-vehicle communication [PDF]

, 2006
In this paper, a minimalist, completely distributed freeway traffic information system is introduced. It involves an autonomous, vehicle-based jam front detection, the information transmission via inter-vehicle communication, and the forecast of the ...
Aoki M., Bertini R. L., Briesemeister L., Davis L., Dousse O., Günter Y., Helbing D., Jin W.-L., Kerner B., Kesting A., Kim Y., Lighthill M. J., Marsden G., Muñoz J., Ott J., Rao B. S. Y., Rao B. S. Y., Schönhof M., Schönhof M., Singh J. P., Tank T., Treiber M., Treiber M., Varaiya P., Wischhof L., Wu H., Wu H., Xu Q., Yang X.   +28 more
core   +3 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

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

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

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

A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction [PDF]

, 2019
In spite of its importance, passenger demand prediction is a highly challenging problem, because the demand is simultaneously influenced by the complex interactions among many spatial and temporal factors and other external factors such as weather.
Han, Zhu, Liang, Xiaoyuan, Min, Martin Renqiang, Qi, Yi, Wang, Guiling   +4 more
core   +3 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source