{"id":21416,"date":"2023-02-17T09:02:17","date_gmt":"2023-02-17T09:02:17","guid":{"rendered":"https:\/\/cit.upc.edu\/?post_type=portfolio&p=21416"},"modified":"2023-07-05T09:50:37","modified_gmt":"2023-07-05T09:50:37","slug":"deep-learning-per-predir-locupacio-de-passatgers-en-el-transport-public-per-carretera","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/ca\/portfolio-item\/deep-learning-per-predir-locupacio-de-passatgers-en-el-transport-public-per-carretera\/","title":{"rendered":"Deep learning per predir l\u2019ocupaci\u00f3 de passatgers en el transport p\u00fablic per carretera"},"content":{"rendered":"\n

17\/02\/2023
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La mobilitat del futur ha de ser m\u00e9s intel\u00b7ligent, sostenible i connectada. En aquest context, el projecte \u2018Solucions per a la mobilitat intel\u00b7ligent\u2019, en el qual ha participat el Laboratori de la Facultat d\u2019Inform\u00e0tica de Barcelona (inLab FIB) de la Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC), ha aconseguit el desenvolupament d\u2019un model predictiu de l\u2019ocupaci\u00f3 de passatgers en autobusos del transport p\u00fablic basat en m\u00e8todes d\u2019aprenentatge profund (Deep Learning).\r
El projecte parteix d\u2019un marc de pand\u00e8mia a causa de la COVID-19 en el que els operadors del transport p\u00fablic volien minimitzar els trajectes amb molta aflu\u00e8ncia de viatgers, amb el doble objectiu de reduir els contagis, i alhora recuperar la confian\u00e7a dels usuaris en el transport p\u00fablic.\r
S\u2019han utilitzat metodologies data-driven (guiades per les dades) a partir de dades de fonts heterog\u00e8nies (ticketing o comptatge de validacions, calendari, c\u00e0meres a l\u2019interior dels busos). En concret, s\u2019han estudiat m\u00e8todes cl\u00e0ssics per al tractament de s\u00e8ries temporals, com el m\u00e8tode ARIMA, i algorismes de xarxes neuronals que han perm\u00e8s modelar l\u2019ocupaci\u00f3 futura, a partir de dades hist\u00f2riques, i incorporant variables i atributs externs importants, com el calendari escolar.\r
A trav\u00e9s d\\’una plataforma, una aplicaci\u00f3 m\u00f2bil, l\u2019usuari pot consultar l\u2019ocupaci\u00f3 estimada als autobusos al llarg del dia. D\u2019aquesta manera, es pret\u00e9n que els usuaris del servei de bus optin per aquelles l\u00ednies o expedicions que van m\u00e9s buides, equilibrant aix\u00ed l\u2019oferta i la demanda del servei, i evitar que hi hagi aglomeracions en el transport p\u00fablic. Una altra forma d\u2019accedir als resultats \u00e9s a trav\u00e9s d\u2019una plataforma web on es visualitzaran els resultats d\u2019aquestes prediccions.\r
En el marc del projecte, s\u2019ha col\u00b7laborat amb l\u2019empresa Ityneri by GeoActio que desenvolupa solucions intel\u00b7ligents per a la modernitzaci\u00f3 del transport p\u00fablic.
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Resultats i impacte<\/h4>\r
Es tracta d\u2019una proposta interdisciplin\u00e0ria adre\u00e7ada, principalment, als operadors d\\’autobusos i gestors p\u00fablics i privats de la mobilitat de diferents ciutats. La tecnologia que s\u2019ha fet servir en el projecte \u00e9s aplicable a qualsevol mercat i t\u00e9 un alt potencial d\u2019abast en empreses que gestionen l\u00ednies de transport de passatgers.\u00a0\r
El projecte es troba en fase d\u2019explotaci\u00f3 i est\u00e0 ja en funcionament a TUC (Transporte Urbano Comarcal) de Pamplona. A m\u00e9s, est\u00e0 previst incorporar-ho a altres l\u00ednies urbanes i interurbanes d\\’altres ciutats.
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La mobilitat del futur ha de ser m\u00e9s intel\u00b7ligent, sostenible i connectada. En aquest context, el projecte \u2018Solucions per a la mobilitat intel\u00b7ligent\u2019, en el qual ha participat el Laboratori de la Facultat d\u2019Inform\u00e0tica de Barcelona (inLab FIB) de la Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC), ha aconseguit el desenvolupament d\u2019un model predictiu de l\u2019ocupaci\u00f3 de passatgers en autobusos del transport p\u00fablic basat en m\u00e8todes d\u2019aprenentatge profund (Deep Learning).<\/p>\n","protected":false},"author":5,"featured_media":21411,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"portfolio-types":[910,221,911,412],"class_list":["post-21416","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio-types-mobile-ca","portfolio-types-tecnologias-de-las-tic-ca","portfolio-types-tecnologias-de-logistica-y-movilidad-ca","portfolio-types-transport-i-mobilitat"],"yoast_head":"\nPredir l\u2019ocupaci\u00f3 de passatgers a l'autob\u00fas - CIT UPC<\/title>\n<meta name=\"description\" content=\"La mobilitat del futur ha de ser m\u00e9s intel\u00b7ligent, sostenible i connectada. 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