Name
Abstract | ||
|---|---|---|
Bicycles are highly valuable for commuting, exercising, and sightseeing from an environmental and economic stand point. A conventional study therefore proposed a hazard information-sharing system for bicycle users. However, these systems require a special probe bicycle. As a more convenient solution, this paper proposes a road information-sharing system using a smartphone attached to each bicycle. The adoption of smartphones is beneficial from a practical viewpoint. Each smartphone independently detects the road status and bicycle location, which are shared by the road-information sharing system. We propose a method of detecting dangerous (poor visibility) intersections and congested road conditions using a decision-tree classifier. Cross-validation analysis showed 82 percent accuracy. Also, a multi-agent simulation model proved that the server application scheme and wireless repeater node scheme are practical. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/GCCE.2015.7398521 | 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE) |
Keywords | Field | DocType |
smartphone sensor,bicycle,sensor network,machine learning,data mining | Visibility,Wireless repeater,Computer science,Computer network,Classifier (linguistics),Wireless sensor network,Information sharing,Application server,Embedded system | Conference |
Citations | PageRank | References |
1 | 0.43 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Iwasaki | 1 | 1 | 0.43 |
| Akira Yamamoto | 2 | 1 | 0.43 |
| Shigeo Kaneda | 3 | 69 | 26.85 |