PI: Francisco A. Ortega Riejos
Abstract: Based on the representation of the problems in terms of mathematical optimization models, the step-by-step construction of the methodological support necessary for decision-making in the layout of rapid transit systems was carried out. The computational experimentation of these abstract models was carried out on laboratory networks, inspired by the real context of the metropolitan area of Seville. The models developed were disseminated in numerous publications produced by the members of the research team.
Source of Funding: FOM/2003/13 [ORDEN FOM/3595/2003, de 9 de diciembre (BOE núm. 306, Martes 23 diciembre 2003, página 45897)]
Implied entities: Universidad de Sevilla, Universidad Politécnica de Madrid, Universidad de Castilla La Mancha
Partners: Dirección Regional de Cercanías de RENFE, la empresa de transportes urbanos metropolitanos de Sevilla TUSSAM, el Ayuntamiento de Sevilla, la Consejería de Obras Públicas y Transportes de la Junta de Andalucía y la Sociedad Metro de Sevilla
iMAT research line: RL4. Modeling Transport & Logistics
Researchers:
Francisco Alonso Ortega Riejos
Juan Antonio Mesa López-Colmenar
Ángel Marín Gracia
Ricardo García Ródenas
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie | Duración | Descripción |
---|---|---|
cookielawinfo-checbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.