DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment
Author:
Affiliation:
1. Department of Information Technology, Sethu Institute of Technology, Virudhunagar, Tamilnadu, India.
Publisher
Mary Ann Liebert Inc
Subject
Information Systems and Management,Computer Science Applications,Information Systems
Link
https://www.liebertpub.com/doi/pdf/10.1089/big.2021.0013
Reference25 articles.
1. DynaCAS: Computational Experiments and Decision Support for ITS
2. Short-term traffic forecasting: Where we are and where we’re going
3. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
4. Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm
5. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
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