Summary of Predicting Parking Availability in Singapore with Cross-domain Data: a New Dataset and a Data-driven Approach, by Huaiwu Zhang et al.
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
by Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
First submitted to arxiv on: 29 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: This study focuses on developing an efficient parking space management system to mitigate traffic congestion in densely populated cities like Singapore. The authors introduce the SINPA dataset, containing a year’s worth of parking availability data from 1,687 parking lots in Singapore, enriched with spatial and temporal factors. They then present DeepPA, a novel deep-learning framework that collectively predicts future parking availability across thousands of parking lots. The proposed approach demonstrates a 9.2% reduction in prediction error for up to 3-hour forecasts compared to existing advanced models. Furthermore, the authors implement DeepPA in a practical web-based platform to provide real-time parking availability predictions to aid drivers and inform urban planning. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: This research aims to make it easier for people to find parking spaces in busy cities like Singapore. The team created a large dataset of parking space availability data from over 1,600 parking lots in Singapore. They then developed a new way to predict when parking spaces will be available using deep learning technology. This new approach is more accurate than existing methods and can help reduce traffic congestion. The researchers also built a web-based platform that provides real-time parking availability information to drivers and city planners. |
Keywords
» Artificial intelligence » Deep learning
