Abstract
Preparing travel time data can be a time-consuming process, which greatly limits the flexibility of transport simulation models. In the current paper, we present an approach to integrate a routing engine locally in an existing modeling framework, hence enabling to dynamically calculate travel times in the constructed emergency medical services (EMS) simulation models. This integration eliminates the need for the pre-calculation typically required to prepare travel time data. Using the extended framework, we developed an EMS simulation model for stroke patients, which we applied in a scenario study to southern Sweden. This allowed us to evaluate the potential benefits of using dynamic travel time calculations in prehospital stroke care. The experimental results, supported by comparisons with pre-calculated travel times, confirm the effectiveness of our approach in integrating dynamic travel time calculations into the framework. Moreover, the results of our evaluation indicate that including this functionality in simulation models can provide more realistic results. Finally, our approach for local implementation of dynamic travel time calculations is faster and less restricted compared to using online services.
| Original language | English |
|---|---|
| Pages (from-to) | 781-788 |
| Number of pages | 8 |
| Journal | Procedia Computer Science |
| Volume | 256 |
| Early online date | 11 Mar 2025 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | Conference on ENTERprise Information Systems | International Conference on Project MANagement | International Conference on Health and Social Care Information Systems 2024 - Madeira Island, Portugal Duration: 13 Nov 2024 → 15 Nov 2024 |
Keywords
- Framework
- Dynamic travel time
- EMS
- Travel data calculation
- Simulation model
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