Quick Sub-optimal Augmentation of Large Scale Multi-modal Transport Networks
Autor: | Mathieu Petit, Nour-Eddin El Faouzi, Angelo Furno, Elise Henry |
---|---|
Přispěvatelé: | Laboratoire d'Ingénierie Circulation Transport (LICIT UMR TE ), École Nationale des Travaux Publics de l'État (ENTPE)-Université de Lyon-Université Gustave Eiffel, RP1-S19100 , PROMENADE, Platform for Resilient Multi-modal Mobility via Multi-layer Networks & Real-time Big-Data Processing |
Rok vydání: | 2021 |
Předmět: |
Service (systems architecture)
Computer science Distributed computing MULTI-LAYER NETWORKS RESEAU DE TRANSPORT Context (language use) MULTI-MODAL TRANSPORT MODELLING 01 natural sciences EXPLOITATION DE RESEAU DE TRANSPORT 11. Sustainability 0502 economics and business 0103 physical sciences Network performance 010306 general physics Resilience (network) 050210 logistics & transportation business.industry 05 social sciences Mode (statistics) Complex network MODELISATION [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation TRANSPORT MULTIMODAL TRANSPORT NETWORK DESIGN Modal Public transport business |
Zdroj: | Studies in Computational Intelligence ISBN: 9783030653507 COMPLEX NETWORKS (2) COMPLEX NETWORKS 2020, The Ninth International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2020, The Ninth International Conference on Complex Networks and their Applications, Dec 2020, Madrid, Spain. pp218-230, ⟨10.1007/978-3-030-65351-4_18⟩ |
DOI: | 10.1007/978-3-030-65351-4_18 |
Popis: | COMPLEX NETWORKS 2020, The Ninth International Conference on Complex Networks and their Applications, Madrid, ESPAGNE, 01-/12/2020 - 03/12/2020; With the recent and continuous growth of large metropolis, the development, management and improvement of their urban multi-modal transport networks become a compelling need. Although the creation of a new transport mode often appears as a solution, it is usually impossible to construct at once a full networked public transport. Therefore, there is a need for efficient solutions aimed at prioritizing the order of construction of the multiple lines or transport modes. Hence, the proposed work aims at developing a simple and quick-to-compute methodology aimed at prioritizing the order of construction of the lines of a newly designed transport mode by maximizing the network performance gain, as described by complex networks metrics. In a resilience context, the proposed methodology could also be helpful to support the rapid and quick response to disruptions by setting up or reinforcing an adapted emergency transport line (e.g., bus service) over a set of predefined itineraries. |
Databáze: | OpenAIRE |
Externí odkaz: |