{"id":1882,"date":"2024-10-18T15:36:40","date_gmt":"2024-10-18T13:36:40","guid":{"rendered":"https:\/\/widata.cloud\/?p=1882"},"modified":"2024-10-18T15:36:55","modified_gmt":"2024-10-18T13:36:55","slug":"da-pma-a-xplore","status":"publish","type":"post","link":"https:\/\/widata.cloud\/en\/da-pma-a-xplore\/","title":{"rendered":"Da PMA a Xplore: l\u2019evoluzione della gestione della mobilit\u00e0"},"content":{"rendered":"\n[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” admin_label=”Header” _builder_version=”4.27.2″ _module_preset=”default” background_color=”rgba(0,0,0,0.42)” background_image=”https:\/\/widata.cloud\/wp-content\/uploads\/2024\/10\/smart-city.webp” background_blend=”multiply” custom_padding=”||114px|||” custom_padding_tablet=”||114px|||” custom_padding_phone=”||7px||false|false” filter_opacity_last_edited=”off|desktop” locked=”off” collapsed=”on” global_colors_info=”{}” filter_opacity__hover_enabled=”off|desktop” theme_builder_area=”post_content”][et_pb_row column_structure=”2_3,1_3″ _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”79px|||||” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”2_3″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.2″ _module_preset=”d5414338-6416-43d5-a914-33d52a93916c” header_text_color=”gcid-266ba876-53e9-43d2-8326-b935293de15e” width=”157%” max_width=”138%” module_alignment=”left” custom_margin=”|0px|-4px|0px|false|true” custom_padding=”|0px||0px|false|true” header_font_size_tablet=”56px” header_font_size_phone=”30px” global_colors_info=”{%22gcid-266ba876-53e9-43d2-8326-b935293de15e%22:%91%22header_text_color%22%93}” theme_builder_area=”post_content”]

System for Anonymous Mobility Monitoring<\/span><\/h1>[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”8vw||||false|false” custom_padding_tablet=”0vw||||false|false” custom_padding_phone=”0vw||||false|false” custom_padding_last_edited=”on|tablet” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Header” _builder_version=”4.22.1″ _module_preset=”default” background_color=”#FFFFFF” custom_padding=”||0px||false|false” locked=”off” collapsed=”on” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_row _builder_version=”4.22.1″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” header_2_font=”Poppins||||||||” header_2_text_color=”#df6408″ hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Da PMA a Xplore: l’evoluzione della gestione della mobilit\u00e0 urbana<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Torino, 3 giugno 2017: in occasione della finale della UEFA Champions League tra le squadre Juventus e Real Madrid, in Piazza San Carlo venne installato un maxischermo per permettere ai tifosi di seguire la partita. Ci\u00f2 che accadde dopo \u00e8 purtroppo rimasto impresso nelle pagine di cronaca nera italiana. La tragedia di Piazza San Carlo evidenzi\u00f2 in modo drammatico l\u2019importanza di <\/span>monitorare e gestire i flussi di persone<\/strong> <\/span>in spazi pubblici affollati. In risposta a questo evento il Comune di Torino ricerc\u00f2 un sistema in grado di monitorare e gestire il movimento delle persone durante grandi eventi in spazi aperti.<\/p>\n

Abbiamo accettato la sfida e nel 2019, ancora prima della fondazione dell\u2019azienda, abbiamo iniziato a sviluppare una piattaforma innovativa per il monitoraggio delle Smart Cities. Nacque cos\u00ec <\/span>People Mobility Analytics (PMA).<\/strong><\/p>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” header_2_font=”Poppins||||||||” header_2_text_color=”#df6408″ hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

People Mobility Analytics (PMA)<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

PMA fu il nostro primo prodotto, progettato per rispondere alla crescente necessit\u00e0 di gestire i flussi di persone in spazi pubblici, che siano essi spiagge o piazze, sia durante eventi di grande portata.<\/p>\n

La prima versione di PMA consisteva in un sistema di gestione dei nostri dispositivi per il conteggio delle persone e l\u2019applicazione degli stessi al monitoraggio dei servizi di trasporto pubblico. <\/span><\/p>\n

I nostri dispositivi, i primi <\/span>Wi-Fi Datanode<\/strong>, erano in grado di rilevare i movimenti delle persone attraverso il monitoraggio dei segnali Wi-Fi dei dispositivi mobili. In questo modo, siamo stati in grado di analizzare in tempo reale il numero di persone presenti nelle aree monitorate.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/widata.cloud\/wp-content\/uploads\/2024\/10\/pma_dashboard_widata.webp” _builder_version=”4.27.2″ _module_preset=”default” theme_builder_area=”post_content” title_text=”pma_dashboard_widata” hover_enabled=”0″ sticky_enabled=”0″][\/et_pb_image][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Nel corso degli anni successivi, attraverso il progetto<\/span> <\/span>SAM2 (System for Anonymous Mobility Monitoring)<\/strong>, abbiamo espanso le funzionalit\u00e0 di PMA, trasformandolo in<\/span> <\/span>Xplore<\/strong>, il nostro attuale prodotto di punta.<\/span><\/p>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” header_2_font=”Poppins||||||||” header_2_text_color=”#df6408″ hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Xplore<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Xplore<\/strong> <\/span>\u00e8 stato progettato per rispondere alle esigenze delle citt\u00e0 moderne. Non \u00e8 solo un sistema di monitoraggio della mobilit\u00e0, ma una piattaforma integrata che unisce il conteggio delle persone al<\/span> <\/span>monitoraggio ambientale<\/strong>. Supporta protocolli di comunicazione all\u2019avanguardia quali il<\/span> <\/span>LoRaWAN<\/strong>, che permettono una trasmissione dei dati a lunga distanza con un basso consumo energetico, fondamentale per il monitoraggio su larga scala.<\/span><\/p>[\/et_pb_text][et_pb_image src=”https:\/\/widata.cloud\/wp-content\/uploads\/2024\/10\/xplore_dashboard_widata.png” _builder_version=”4.27.2″ _module_preset=”default” theme_builder_area=”post_content” title_text=”xplore_dashboard_widata” hover_enabled=”0″ sticky_enabled=”0″][\/et_pb_image][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Una delle principali innovazioni di Xplore \u00e8 la sua capacit\u00e0 di offrire una<\/span> <\/span>visione completa e soprattutto integrata<\/strong> <\/span>di tutti i dati provenienti dai sensori. Oltre a monitorare il flusso di persone in spazi pubblici e mezzi di trasporto, la piattaforma \u00e8 in grado di raccogliere dati storici sui<\/span> <\/span>parametri ambientali<\/strong> <\/span>attraverso sensori meteorologici, tra cui la temperatura, l\u2019umidit\u00e0, il livello delle piogge e quelli relativi alla qualit\u00e0 dell\u2019aria, i livelli di CO2 e di particolato.<\/span><\/p>[\/et_pb_text][et_pb_image src=”https:\/\/widata.cloud\/wp-content\/uploads\/2024\/10\/xplore_dashboard_particolato_widata.webp” _builder_version=”4.27.2″ _module_preset=”default” theme_builder_area=”post_content” title_text=”xplore_dashboard_particolato_widata” hover_enabled=”0″ sticky_enabled=”0″][\/et_pb_image][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Le amministrazioni possono sfruttare queste informazioni per analizzare fenomeni come le<\/span> <\/span>isole di calore urbane<\/strong> <\/span>e le<\/span> <\/span>ondate di calore <\/span><\/strong>e prendere decisioni mirate per mitigare tale fenomeno. Visualizzando questi dati attraverso mappe di calore diventa infatti pi\u00f9 semplice individuare aree critiche e adottare misure correttive.<\/span><\/p>[\/et_pb_text][et_pb_image src=”https:\/\/widata.cloud\/wp-content\/uploads\/2024\/10\/xplore_dashboard_calore_widata.webp” _builder_version=”4.27.2″ _module_preset=”default” theme_builder_area=”post_content” title_text=”xplore_dashboard_calore_widata” hover_enabled=”0″ sticky_enabled=”0″][\/et_pb_image][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Nel settore del <\/span>trasporto pubblico<\/strong>, Xplore va oltre il semplice conteggio degli utenti, permettendo alle aziende di avere una visione completa dell\u2019utilizzo dei mezzi.<\/p>\n

Xplore non solo monitora il numero di utenti che utilizzano le diverse linee, ma fornisce anche informazioni chiave sulla puntualit\u00e0 del servizio e sulla sua efficienza complessiva. Attraverso la <\/span>matrice origine-destinazione<\/strong>, la piattaforma analizza i flussi di utenti, evidenziando quali tratte sono pi\u00f9 utilizzate e in quali momenti della giornata. Questo tipo di informazione \u00e8 essenziale per le aziende di trasporto in quanto permette di adattare il servizio alle reali esigenze degli utenti, migliorandone l\u2019efficienza e riducendo l\u2019impatto ambientale.<\/p>\n

Un altro insight importante riguarda l\u2019analisi del <\/span>risparmio di carbon-footprint<\/strong>, con la possibilit\u00e0 di calcolare il risparmio di emissioni di CO2, offrendo un\u2019importante leva di comunicazione per promuovere l\u2019utilizzo del trasporto pubblico rispetto ai veicoli privati.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” header_2_font=”Poppins||||||||” header_2_text_color=”#df6408″ hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Gli sviluppi futuri<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Ma il nostro lavoro non si ferma qui. Infatti, il progetto non \u00e8 ancora concluso e prospettiamo di migliorare ancor di pi\u00f9 il servizio Xplore, con l\u2019obiettivo di ottimizzare l\u2019esperienza utente e integrare nuove tecnologie di monitoraggio. <\/span><\/p>\n

Infatti, stiamo lavorando all\u2019integrazione di <\/span>nuovi algoritmi di Intelligenza Artificiale<\/strong> <\/span>e all\u2019utilizzo di telecamere<\/strong> <\/span>gi\u00e0 presenti sul mezzo, per un conteggio pi\u00f9 preciso. Questi algoritmi ci permetteranno di combinare i dati raccolti via Wi-Fi con quelli visivi, rendendo il conteggio ancora pi\u00f9 accurato.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” header_2_font=”Poppins||||||||” header_2_text_color=”#df6408″ hover_enabled=”0″ locked=”off” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Il Team<\/b><\/h2>[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font=”Poppins||||||||” text_text_color=”#000000″ text_font_size=”16px” text_line_height=”1.8em” global_colors_info=”{}” theme_builder_area=”post_content”]

Il progetto \u00e8 sviluppato in collaborazione tra WiData e l\u2019Universit\u00e0 degli Studi di Cagliari. In particolare, \u00e8 coinvolto il Dipartimento di Ingegneria Elettrica ed Elettronica (DIEE), dipartimento che si occupa di formazione e ricerca nell\u2019ambito dell\u2019Ingegneria dell\u2019Informazione ed Elettrica.<\/p>\n

Il gruppo di ricerca che guida le attivit\u00e0 per l\u2019Universit\u00e0 di Cagliari \u00e8 il laboratorio Net4U, coordinato dal Professor Luigi Atzori, che vanta di una lunga esperienza nelle attivit\u00e0 di ricerca sulle reti di telecomunicazioni di nuova generazione. <\/span><\/p>\n

La responsabile scientifica del progetto \u00e8 la dott.ssa Virginia Pilloni, il cui ruolo \u00e8 coordinare le attivit\u00e0 accademiche e contribuire alla progettazione delle soluzioni affidate all\u2019Universit\u00e0.<\/p>[\/et_pb_text][et_pb_image src=”https:\/\/widata.cloud\/wp-content\/uploads\/2024\/10\/loghi-partner.webp” title_text=”loghi partner” _builder_version=”4.27.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.19.1″ _module_preset=”default” background_color=”#0a0e17″ locked=”off” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”1_2″ _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” header_2_font=”Poppins||||||||” header_2_text_color=”#df6408″ header_2_font_size=”37px” header_3_font=”Poppins||||||||” header_3_text_color=”#df6408″ header_3_font_size=”57px” custom_margin=”-19px||12px|||” custom_padding=”46px|||||” header_3_font_size_tablet=”57px” header_3_font_size_phone=”49px” header_3_font_size_last_edited=”on|phone” global_colors_info=”{}” theme_builder_area=”post_content”]

Contattaci subito!<\/span><\/h2>[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_contact_form submit_button_text=”Submit” _builder_version=”4.19.1″ _module_preset=”default” _unique_id=”54c3329e-55b0-4707-bb84-753f6f788f68″ captcha_font=”Poppins||||||||” captcha_font_size=”14px” custom_button=”on” button_text_size=”14px” button_text_color=”#FFFFFF” button_bg_color=”#df6408″ button_border_width=”0px” button_border_radius=”100px” button_letter_spacing=”0px” button_font=”Poppins|700|||||||” button_icon=”5||divi||400″ border_radii=”on|13px|13px|13px|13px” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_contact_field field_id=”Name” field_title=”Nome e Cognome” _builder_version=”4.19.1″ global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” 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System for Anonymous Mobility MonitoringDa PMA a Xplore: l’evoluzione della gestione della mobilit\u00e0 urbanaTorino, 3 giugno 2017: in occasione della finale della UEFA Champions League tra le squadre Juventus e Real Madrid, in Piazza San Carlo venne installato un maxischermo per permettere ai tifosi di seguire la partita. Ci\u00f2 che accadde dopo \u00e8 purtroppo rimasto […]<\/p>\n","protected":false},"author":2,"featured_media":1875,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"2880","footnotes":""},"categories":[53],"tags":[],"class_list":["post-1882","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-progetti-di-ricerca"],"yoast_head":"\nDa PMA a Xplore: l\u2019evoluzione della gestione della mobilit\u00e0 - WiData<\/title>\n<meta name=\"description\" content=\"Scopri come la mostra soluzione Xplore rivoluziona la gestione della mobilit\u00e0 urbana, monitorando flussi di persone e parametri ambientali.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/widata.cloud\/en\/da-pma-a-xplore\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Da PMA a Xplore: l\u2019evoluzione della gestione della mobilit\u00e0 - 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