Dataset for Device-Free Wireless Sensing of Crowd Size in Public Transportation Environments
Abstract
Congested platforms in public transportation systems can jeopardize the safety and comfort of passengers. Real-time crowd size estimation using Device-Free Wireless Sensing (DFWS) can offer a privacy-preserving solution for monitoring and preventing overcrowding. However, no public dataset exists on DFWS in public transportation environments. In this work, we introduce a new dataset comprising two different public transportation environments, which contains data on the presence of rail vehicles at the platform, as well as manual people counts at regular intervals. By providing this dataset, we aim to offer a foundation for other DFWS researchers to explore novel algorithms and methods in public transportation environments.
Fields of Study & Subjects
Mobile Crowdsensing and Crowdsourcing
Human Mobility and Location-Based Analysis
Opportunistic and Delay-Tolerant Networks
Publication details
- Journal / source
- Data
- Publisher
- MDPI AG
- Volume
- 11
- Issue
- 1
- Pages
- 21–21
- Publication date
- 14 January 2026
- Language
- EN