GIS based modeling of marine incident hotspots: A cloud-based framework for navigational alerts
- Resource Type
- Conference
- Authors
- Ponnambalam, Loganathan; Fu Xiuju; Xiao Zhe; Goh, Rick Siow Mong; Sarawgi, Disha; Shubham, Kunal
- Source
- 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference. :125-129 Jan, 2016
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
General Topics for Engineers
Geoscience
Power, Energy and Industry Applications
Signal Processing and Analysis
Navigation
Geographic information systems
Heating
Databases
Big data
Cloud computing
Computational modeling
Geographic Information Systems
Spatio-temporal analysis
Cloud-based framework
Hotspots
Marine incidents
Navigational safety
- Language
Spatio-temporal modeling of historical marine incidents to identify the hotspots can aid scenario planning to strategize safer navigation in the region of interest. However, applications of GIS based approaches for spatio-temporal modeling to identify the hotspots and utilizing these results to plan a safer navigation through a cloud-based framework is a rarity in the literature. The proposed approach has been illustrated using the realistic data of marine incidents that occurred in the US waters from 2006–2015. The incident of interest in the study is allision and QGIS was used for the spatio-temporal modeling. The heatmap and hotspots for allision incidents that occurred within the last five years and ten years are presented. The vectors generated from the hotspots contain the information on the incident-prone zones in the US waters. This information was then used as the basis in the proposed cloud-based framework to upload the AIS data and identify the alert-zones in the navigational path.