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A Crowdsensing Approach for Deriving Surface Quality of Cycling Infrastructure
- Publication Year :
- 2023
-
Abstract
- Cities worldwide are trying to increase the modal share of bicycle traffic to address traffic and carbon emission problems. Aside from safety, a key factor for this is the cycling comfort, including the surface quality of cycle paths. In this paper, we propose a novel edge-based crowdsensing method for analyzing the surface quality of bicycle paths using smartphone sensor data: Cyclists record their rides which after preprocessed on their phones before being uploaded to a private cloud backend. There, additional analysis modules aggregate data from all available rides to derive surface quality information which can then used for surface quality-aware routing and planning of infrastructure maintenance.<br />Comment: Accepted for the 11th IEEE International Conference on Cloud Engineering (IC2E 2023)
- Subjects :
- Computer Science - Distributed, Parallel, and Cluster Computing
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2305.01712
- Document Type :
- Working Paper