{"id":146,"date":"2026-02-11T08:18:55","date_gmt":"2026-02-11T08:18:55","guid":{"rendered":"https:\/\/almoa.aau.at\/?page_id=61"},"modified":"2026-03-28T19:25:38","modified_gmt":"2026-03-28T18:25:38","slug":"dc-6-large-scale-optimisation-for-end-to-end-planning-of-transport-systems","status":"publish","type":"page","link":"https:\/\/almoa.aau.at\/?page_id=146","title":{"rendered":"DC 6 &#8211; Large-scale optimisation for end-to-end planning of transport systems"},"content":{"rendered":"<div class=\"dc-project\">\r\n<p class=\"wp-block-paragraph\"><strong>Project Title:<\/strong> Large-scale optimisation for end-to-end planning of transport systems<br \/><strong>Doctoral Candidate:<\/strong> N.N.<br \/><strong>Host Institution:<\/strong>\u00a0M.A.I.O.R.<br \/><strong>Supervisors:<\/strong> Samuela Carosi, <a href=\"https:\/\/pages.di.unipi.it\/frangio\/\">Antonio Frangioni<\/a><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Objectives:<\/strong> Transport networks (urban, rail, air \u2026) are hugely complex systems whose optimal planning and operations requires the solution of hard optimisation problems, usually tackled as a sequence of no less than five steps (line planning, timetabling, vehicle scheduling, crew scheduling, and rostering). This sequential approach produces suboptimal decisions and therefore increases economic, social and environmental costs. The DC will study a fully integrated system where all facets of the problem are considered in a structured model and new solution approaches are developed that allow steps further down in the hierarchy to provide feedback from those preceding them. The objectives are highly significant both from the methodological standpoint, where the development of novel and general approaches based on multiple-level decomposition and suitable to be implemented in HPC architectures is expected that will be applicable to many other settings (energy, telecommunications, \u2026), and from the applicative standpoint where the developed tools will provide a significant improvement in the main KPIs of public transport systems (economic efficiency, customer retention and satisfaction, environmental sustainability). It is also expected that the study of the general problem will lead to identification of specific subproblems and to provide both methodological and implementational contribution for the solution of said subproblems, too.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Expected Results:<\/strong> The expected results are four-fold: 1) the design of novel methodologies for the solution of nested structured problems; 2) the implementation of said methodologies into a suite of general software tools, to be released under permissive open-source licenses; 3) the specialisation of the general software tools to the specific case of the public transportation setting; 4) the collection of extensive data sets and their public release.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Planned secondment:<\/strong> Approx. 6 months at PSL (W. De Oliveira) to learn about decomposition approaches for large-scale problems to design efficient algorithms for the completely integrated end-to-end planning problem in public transport systems and to study the relationships between the problems studied in this project and those of DC4 in order to identify commonalities that bring to shared development of significant parts of the solution approaches. The DC will be at UNIPI (A. Frangioni) during the time the courses (s)he has chosen are offered, which is expected to mostly happen during the first year. The DC will also spend another period at UNIPI to get acquainted with the SMS++ framework. The total duration of secondments will be at most 12 months.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Degree awarding institution:<\/strong> Universit\u00e0 di Pisa<\/p>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Project Title: Large-scale optimisation for end-to-end planning of transport systemsDoctoral Candidate: N.N.Host Institution:\u00a0M.A.I.O.R.Supervisors: Samuela Carosi, Antonio Frangioni Objectives: Transport networks (urban, rail, air \u2026) are hugely complex systems whose optimal planning and operations requires the solution of hard optimisation problems, usually tackled as a sequence of no less than five [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_crdt_document":"","footnotes":""},"class_list":["post-146","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/almoa.aau.at\/index.php?rest_route=\/wp\/v2\/pages\/146","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/almoa.aau.at\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/almoa.aau.at\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/almoa.aau.at\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/almoa.aau.at\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=146"}],"version-history":[{"count":4,"href":"https:\/\/almoa.aau.at\/index.php?rest_route=\/wp\/v2\/pages\/146\/revisions"}],"predecessor-version":[{"id":875,"href":"https:\/\/almoa.aau.at\/index.php?rest_route=\/wp\/v2\/pages\/146\/revisions\/875"}],"wp:attachment":[{"href":"https:\/\/almoa.aau.at\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}