The in-town monitoring system for ambulance dispatch centre
Bartlomiej Placzek, Jolnta Golosz

TL;DR
This paper introduces an in-town ambulance monitoring system that uses GPS, GIS, digital maps, roadside cameras, and image processing algorithms to prioritize emergency vehicles and improve traffic management for life-saving responses.
Contribution
It presents an integrated monitoring system combining GPS, GIS, digital maps, and image processing for real-time ambulance prioritization and traffic control.
Findings
Effective ambulance recognition via image processing techniques
Enhanced traffic management for emergency vehicles
Real-time vehicle positioning in urban networks
Abstract
The paper presents the vehicles integrated monitoring system giving priorities for emergency vehicles. The described system exploits the data gathered by: geographical positioning systems and geographical information systems. The digital maps and roadside cameras provide the dispatchers with aims for in town ambulances traffic management. The method of vehicles positioning in the city network and algorithms for ambulances recognition by image processing techniques have been discussed in the paper. These priorities are needed for an efficient life-saving actions that require the real-time controlling strategies.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT-based Smart Home Systems · Fire Detection and Safety Systems
