A real-time traffic congestion-avoidance framework for smarter cities-Reference-Cited by-同舟云学术

A real-time traffic congestion-avoidance framework for smarter cities

Published:2018 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
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Author:

Thejaswini R. S. Saundharya,Rajaraajeswari S.

Publisher

Author(s)

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5078968

Reference12 articles.

1. Francsico C. Pereira, Filipe Rodrigues and Moshe Ben-Akiva, Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios, Journal of Intelligent Transportation Systems, 1–16 (2014)

2. Research of Intelligent Transportation System Based on the Internet of Things Frame

3. Fei Tao and Meng Zhang, Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing, Special Section on Key Technologies for Smart Factory of Industry 4.0, 5 20418–20427 (2017)

4. http://www.oracle.com/us/solutions/internetofthings/digital-twins-for-iot-apps-wp-3491953.pdf

5. https://www.infosys.com/insights/services-being-digital/Documents/future-industrial-digital.pdf

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