Traffic flow prediction models – A review of deep learning techniques
Author:
Affiliation:
1. Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, India
2. Modelling and Visualisation, Ricardo Plc, United Kingdom
Funder
No financial assistance received from any agency to carry out the work mentioned
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2021.2010510
Reference83 articles.
1. An integrated feature learning approach using deep learning for travel time prediction
2. VANET routing protocol for V2V implementation: A suitable solution for developing countries
3. Missing data imputation for traffic flow speed using spatio-temporal cokriging
4. Exploiting the past and the future in protein secondary structure prediction
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