Short-term Traffic Flow Prediction Based on Improved BP Neural Network Optimized by Grasshopper Optimization Algorithm
Author:
Affiliation:
1. Department of Basic, Shaanxi Fashion Engineering University, China
Funder
the Scientific Research Special Project of Shaanxi Provincial Department of Education in 2023: Research on Short Term Traffic Flow Prediction Based on IGOA-BP Neural Network
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3662739.3670225
Reference18 articles.
1. Short-term traffic flow prediction of the smart city using 5G internet of vehicles based on edge computing;Shenghan Zhou;IEEE Transactions on Intelligent Transportation Systems,2022
2. GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
3. A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction
4. Traffic Flow Prediction for Smart Traffic Lights Using Machine Learning Algorithms
5. Short-term traffic flow prediction for urban road sections based on time series analysis and LSTM_BILSTM method;Changxi Ma;IEEE Transactions on Intelligent Transportation Systems,2021
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