Big Traffic Data Analytics For Smart Urban Intelligent Traffic System Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Big Traffic Data Analytics For Smart Urban Intelligent Traffic System Using Machine Learning Techniques

Published:2020-10-13 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)
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Author:

Hlaing Su Su,Tin Mie Mie,Khin Mie Mie,Wai Phyo Phyo,Sinha G R

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9291702/9291703/09291790.pdf?arnumber=9291790

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning based data collection protocol for intelligent transport systems: a real-time implementation on Dublin M50, Ireland;Complex & Intelligent Systems;2023-10-06

2. Machine Learning-Based Payload Allocation in a Service Provided Area to Maximize the Efficiency of the Network;Advances in Engineering Research;2023

3. Big Data Application for Urban Transport Solutions;2022 Smart City Symposium Prague (SCSP);2022-05-26

4. Cost-and-Quality Aware Data Collection for Edge-Assisted Vehicular Crowdsensing;IEEE Transactions on Vehicular Technology;2022-05

5. Deep Learning with Multisource Data Fusion in Electricity Internet of Things for Electricity Price Forecast;Wireless Communications and Mobile Computing;2022-01-24

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