ANN-Based traffic volume prediction models in response to COVID-19 imposed measures

Author:

Ghanim Mohammad ShareefORCID,Muley Deepti,Kharbeche Mohamed

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference93 articles.

1. Abu-Lebdeh, G., Chen, H., & Ghanim, M. (2016). Improving performance of genetic algorithms for transportation systems: case of parallel genetic algorithms. Journal of Infrastructure Systems, 22(4), A4014002.

2. Effects of the COVID-19 Lockdown on Urban Mobility: Empirical Evidence from the City of Santander (Spain);Aloi;Sustainability,2020

3. Estimating traffic volume on Wyoming low volume roads using linear and logistic regression methods;Apronti;Journal of traffic and transportation engineering (English edition),2016

4. COVID-19 outbreak in Colombia: an analysis of its impacts on transport systems;Arellana;Journal of Advanced Transportation,2020

5. Modelling Data: Analogies in Neural Networks, Simulated Annealing and Genetic Algorithms;Bailer-Jones,2001

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