The use of Artificial Neural Networks for extending road traffic monitoring data spatially: an application to the neighbourhoods of Benevento-Reference-Cited by-同舟云学术

The use of Artificial Neural Networks for extending road traffic monitoring data spatially: an application to the neighbourhoods of Benevento

Published:2020 Issue: Volume:45 Page:635-642
ISSN:2352-1465
Container-title:Transportation Research Procedia
language:en
Short-container-title:Transportation Research Procedia

Author:

Luca Giuseppina De,Gallo Mariano

Publisher

Elsevier BV

Reference15 articles.

1. Neural Networks and Deep Learning;Aggarwal,2018

2. Data Collection Technologies for Road Management;Bennet,2006

3. Estimation of urban traffic conditions using an Automatic Vehicle Location (AVL) System;D’Acierno;European Journal of Operational Research,2009

4. De Luca, G., Gallo, M. 2017. Artificial Neural Networks for forecasting user flows in transportation networks: literature review, limits, potentialities and open challenges. Proceedings of 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 919-923.

5. FHWA 2006b; Traffic Detector Handbook: Third Edition - Volume II, 2006 U.S. Department of Transportation, Report No. FHWA-HRT-06-139.

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