Driver-Side and Traffic-Based Evaluation Model for On-street Parking Solutions-Reference-Cited by-同舟云学术

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Driver-Side and Traffic-Based Evaluation Model for On-street Parking Solutions

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Intelligent Environments (IE)
language:
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Author:

Ou Qianyu¹,Zheng Wenjun²,Shi Zhan¹,Liao Ruizhi³

Affiliation:

1. The Chinese University of Hong Kong,School of Data Science,Shenzhen,China

2. The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen,China

3. The Chinese University of Hong Kong,School of Humanities and Social Science,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826555/9826757/09826771.pdf?arnumber=9826771

Reference17 articles.

1. Crowdsensing Maps of On-street Parking Spaces

2. On-street parking availaibilty data in San Francisco, from stationary sensors and high-mileage probe vehicles

3. Smart Parking: Using a Crowd of Taxis to Sense On-Street Parking Space Availability

4. Crowdsourcing on-street parking space detection;liao,2016

5. How likely am I to find parking? – A practical model-based framework for predicting parking availability

Cited by 1 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. A Driver-Side Parking Evaluation Model for Roadside Spaces;IEEE Sensors Journal;2024-08-15

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