Parking Data Analytics
Parking Data Analytics is a scholarly methodological framework that systematically processes and interprets urban parking-related data to optimize space utilization, demand forecasting, and policy decision-making within integrated smart city transportation systems.
54
Publications
2.2K
Citations
207
Authors
96
Institutions
Publications per year
2017–2026
35
Parents
54
Shuguan Yang, Wei Ma, Xidong Pi et al. · Transportation Research Part C Emerging Technologies · 2019 · 231 citations
Smart Parking Systems: Reviewing the Literature, Architecture and Ways Forward
Zaheer Allam, Gabriele Pieri, Davide Moroni et al. · Smart Cities · 2021 · 115 citations · Full text
Crowdsensing Maps of On-street Parking Spaces
Vladimir Coric, Marco Gruteser · 2013 · 101 citations
Parking Occupancy Prediction Method Based on Multi Factors and Stacked GRU-LSTM
Chao Zeng, Changxi Ma, Ke Wang et al. · IEEE Access · 2022 · 100 citations · Full text
Computing, Data Science, Forecasting +16
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96
Carnegie Mellon University
Pittsburgh, United States
3 h-index
7 publications
1K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
173 citations
Instituto de Telecomunicações
Lisbon, Portugal
2 h-index
3 publications
44 citations
Singapore University of Technology and Design
Singapore, Singapore
2 h-index
2 publications
41 citations

University of Limerick
Limerick, Ireland
2 h-index
4 publications
284 citations

Old Dominion University
Norfolk, United States
2 h-index
2 publications
248 citations
Chongqing Jiaotong University
Chongqing, China
2 h-index
4 publications
322 citations
National Transportation Research Center
Knoxville, United States
2 h-index
6 publications
204 citations
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2 publications · 172 citations
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2 publications · 91 citations
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2 publications · 126 citations
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2 publications · 36 citations
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TRR · 2 publications · 68 citations
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