Short-term Traffic Prediction Based on Genetic Improved Wavelet Neural Network
T Ma, H Chen - … International Symposium on Electrical, Electronics and …, 2021 - dl.acm.org
Efficient and accurate traffic prediction is the premise of the development of autonomous
driving technology. In-depth research is made on the issue of short-term traffic speed …
driving technology. In-depth research is made on the issue of short-term traffic speed …
Design and Implementation of Urban Traffic Flow Resource Data Management System Based on Deep Learning Algorithm
JL Ye - Innovative Computing: IC 2020, 2020 - Springer
At present, with the rapid development of the economy, the number of vehicles in the city has
increased rapidly; the city has a more serious congestion problem, so this problem has …
increased rapidly; the city has a more serious congestion problem, so this problem has …
Distance-To-Mean Continuous Conditional Random Fields: Case Study in Traffic Congestion
Traffic prediction techniques are classified as having parametric, non-parametric, and a
combination of parametric and non-parametric characteristics. The extreme learning …
combination of parametric and non-parametric characteristics. The extreme learning …
[PDF][PDF] A Short-Term Traffic Forecasting Research Based on Didi Chuxing GAIA Open Dataset Using Echo State Network Optimized by PSO Algorithm
J Zhang - 2019 - pdf.hanspub.org
Short-term traffic forecasting is an important part of contemporary intelligent transportation
systems. In this paper, based on echo state network, a procedure is proposed to provide a …
systems. In this paper, based on echo state network, a procedure is proposed to provide a …
[引用][C] An Adaptive Drowsy System for Safety Driving Using Viola-Jones Algorithm
MA Sulaiman - 2022 - Polytechnic University