please Open the los_methodology_pdf_version for see the code, due to large size it takes time to open ipynb file !!!
- This paper discusses a novel method to evaluate how well traffic infrastructure can handle disruptions, like floods, by looking at the loss of serviceability. They applied this method to a case study in Trier, Germany, finding that the Kaiser-Wilhelm Brücke bridge was the most critical area affected by flooding.
- The paper introduces a methodology using Loss of Serviceability (LoS) to assess traffic infrastructure resilience during disruptive events, demonstrated in a flooded area in Trier, Germany.
- Insights from the analysis can guide policymakers to enhance transportation system reliability and robustness in similar contexts.
- Resilience of traffic systems is achieved through defining resilience, formulating resilience measures, and analyzing resilience measures to understand system robustness.
- The case study demonstrates the LoS index methodology using OpenStreetMap and OSMnx to calculate LoS index for flooded areas in Trier and identify critical edges.
- Quantitative measures like probability of susceptibility, economic costs, recovery time, and disruption levels are used to measure transportation infrastructure resilience.
- The Loss of Serviceability index is utilized to calculate network resilience by considering affected and non-affected areas, identifying critical edges in the network.
- For applying our method we choose Tries as a case study. We extracted road networks from Trier main city, nearby Mossel river. Which are more prone to affected by the natural disestar.
For reducing time complexity, we have selected some important source and destination point (e.g - hospital, fire station, school) to calculate the LoS value
The work was presented at the 9th International Conference on Dynamics in Logistics (LDIC 2024), in Bremen, Germany.
https://link.springer.com/chapter/10.1007/978-3-031-56826-8_10