Summary of A Methodological Framework For Resilience As a Service (raas) in Multimodal Urban Transportation Networks, by Sara Jaber (univ. Gustave Eiffel et al.
A methodological framework for Resilience as a Service (RaaS) in multimodal urban transportation networks
by Sara Jaber, Mostafa Ameli, S. M. Hassan Mahdavi, Neila Bhouri
First submitted to arxiv on: 30 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed study aims to develop an optimization model for allocating resources and minimizing costs in public transportation systems experiencing unexpected service disruptions. The model incorporates multiple transportation options, such as buses, taxis, and automated vans, and evaluates them based on factors like availability, capacity, speed, and proximity to the disrupted station. By deploying the most suitable vehicles, the model ensures service continuity during rail-disruptions. Applied to a case study in the Ile de France region, Paris and suburbs, complemented by microscopic simulation, the model compares favorably to existing solutions like bus bridging and reserve fleets. The results demonstrate the model’s performance in minimizing costs and enhancing stakeholder satisfaction, optimizing transport management during disruptions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A group of researchers is working on a way to help public transportation systems get back to normal quickly after an unexpected problem arises. They want to make sure that passengers aren’t stuck waiting for a long time or having to find alternative ways to get where they need to go. The team has developed a special model that looks at different types of vehicles, like buses and taxis, and chooses the best one to send to help with the disruption. This way, people can get back to their daily routines without too much trouble. The researchers tested this approach in Paris and its surrounding areas and found that it works really well. |
Keywords
» Artificial intelligence » Optimization
