A Driver-Side Parking Evaluation Model for Roadside Spaces
Author:
Affiliation:
1. School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
2. Guangdong Provincial Key Laboratory of Mathematical Foundations for Artificial Intelligence, Shenzhen, Guangdong, China
Funder
Shenzhen Education Project
Shenzhen Stability Science Program
Guangdong Provincial Key Laboratory of Mathematical Foundations for Artificial Intelligence
SRIBD Doctoral Scholarship Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7361/10637303/10599131.pdf?arnumber=10599131
Reference22 articles.
1. Data communication challenges in smart cities
2. R-N Algorithm for Crowdsensing On-street Parking Spaces
3. A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources
4. Driver-Side and Traffic-Based Evaluation Model for On-street Parking Solutions
5. Detecting On-Street Parking Spaces in Smart Cities: Performance Evaluation of Fixed and Mobile Sensing Systems
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