Automated dilated spatio-temporal synchronous graph modeling for traffic prediction
Accurate traffic prediction is a challenging task in intelligent transportation systems because
of the complex spatio-temporal dependencies in transportation networks. Many existing …
of the complex spatio-temporal dependencies in transportation networks. Many existing …
Multi-view dynamic graph convolution neural network for traffic flow prediction
The rapid urbanization and continuous improvement of road traffic equipment result in
massive daily production of traffic data. These data contain the long-term evolution of traffic …
massive daily production of traffic data. These data contain the long-term evolution of traffic …
[HTML][HTML] Short-term traffic flow prediction with weather conditions: based on deep learning algorithms and data fusion
Y Hou, Z Deng, H Cui - Complexity, 2021 - hindawi.com
Short-term traffic flow prediction is an effective means for intelligent transportation system
(ITS) to mitigate traffic congestion. However, traffic flow data with temporal features and …
(ITS) to mitigate traffic congestion. However, traffic flow data with temporal features and …
Connection fault diagnosis for lithium-ion battery packs in electric vehicles based on mechanical vibration signals and broad belief network
The connection faults between the cells of a battery pack can increase contact resistance
and thus result in abnormal heating at the connections, which can seriously damage or even …
and thus result in abnormal heating at the connections, which can seriously damage or even …
Radio frequency fingerprint collaborative intelligent blind identification for green radios
Radio frequency fingerprint identification (RFFI) technology identifies the emitter by
extracting one or more unintentional features of the signal from the emitter. To solve the …
extracting one or more unintentional features of the signal from the emitter. To solve the …
Performance evaluation of public bus transportation by using DEA models and Shannon's entropy: An example from a company in a large city of China
The purpose of this paper is to assess the operational efficiency of a public bus
transportation via a case study from a company in a large city of China by using data …
transportation via a case study from a company in a large city of China by using data …
Robust ensemble method for short-term traffic flow prediction
Accurate and real-time prediction of short-term traffic flow plays an increasingly vital role in
the successful deployment of Intelligent Transportation Systems. Although existing studies …
the successful deployment of Intelligent Transportation Systems. Although existing studies …
Continuous-time prediction of industrial paste thickener system with differential ODE-net
It is crucial to predict the outputs of a thickening system, including the underflow
concentration (UC) and mud pressure, for optimal control of the process. The proliferation of …
concentration (UC) and mud pressure, for optimal control of the process. The proliferation of …
Multi-step forecasting of short-term traffic flow based on Intrinsic Pattern Transform
H Huang, J Chen, B Shi - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
Multi-step forecasting is an essential but tricky aspect of Intelligent Transportation Systems
(ITS). Existing models generally yield unreliable results as the forecasting horizon increases …
(ITS). Existing models generally yield unreliable results as the forecasting horizon increases …
Comparative analysis of deep-learning-based models for hourly bus passenger flow forecasting
Y Zhang, X Wang, J Xie, Y Bai - Transportation, 2023 - Springer
An efficient transportation system is conducive to maintaining traffic flow and safety.
Passenger flow forecasting (PFF), an area of traffic forecasting, is a key part of the efficient …
Passenger flow forecasting (PFF), an area of traffic forecasting, is a key part of the efficient …