A study of situationally aware routing for emergency responders
| Autor: | Rajan Batta, Marie Flanigan, Matthew J. Henchey, Kevin Majka, Alan Blatt |
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| Rok vydání: | 2015 |
| Předmět: |
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021103 operations research Operations research Computer science Strategy and Management 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Sensor fusion Management Information Systems Shortest path problem 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Routing (electronic design automation) Intelligent transportation system Dijkstra's algorithm |
| Zdroj: | Journal of the Operational Research Society. 66:570-578 |
| ISSN: | 1476-9360 0160-5682 |
| Popis: | This paper presents tests conducted on routes determined from a Dijkstra-based shortest path problem and a Variance-Constrained Shortest Path problem under varying conditions of traffic and weather in a simulated ‘smart environment’. Utilizing envisioned future advanced transportation systems’ real-time information on traffic parameters allows data fusion techniques to provide situation awareness to its users. Taking advantage of this real-time data, the routing methodologies and data capture techniques studied in this paper provides Emergency Medical Services with better routes when responding to a vehicular crash. Comparing the performance of both routing methodologies in terms of both their ability to provide better routes as well as computation times demonstrates two alternatives for aiding in future emergency response. |
| Databáze: | OpenAIRE |
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