{"id":161062,"date":"2025-07-09T12:32:53","date_gmt":"2025-07-09T10:32:53","guid":{"rendered":"https:\/\/virtualdesk.es\/catalogo\/uncategorized\/artificial-intelligence-for-public-transport\/"},"modified":"2026-01-16T11:43:05","modified_gmt":"2026-01-16T10:43:05","slug":"artificial-intelligence-for-public-transport","status":"publish","type":"product","link":"https:\/\/virtualdesk.es\/en\/catalogue\/solutions\/artificial-intelligence-for-public-transport\/","title":{"rendered":"Artificial intelligence for public transport"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; back_image=&#8221;158875&#8243; overlay_color=&#8221;color-blue&#8221; overlay_alpha=&#8221;60&#8243; overlay_animated=&#8221;yes&#8221; overlay_animated_1_color=&#8221;color-vyce&#8221; overlay_animated_size=&#8221;0.7&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;4&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;699050&#8243; overlay_color_type=&#8221;uncode-palette&#8221; overlay_animated_1_color_type=&#8221;uncode-palette&#8221; overlay_animated_2_color_type=&#8221;uncode-solid&#8221; overlay_animated_2_color_solid=&#8221;#5d00b5&#8243;][vc_column column_width_use_pixel=&#8221;yes&#8221; position_vertical=&#8221;middle&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; column_width_pixel=&#8221;900&#8243;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; heading_semantic=&#8221;h3&#8243; text_size=&#8221;h1&#8243; uncode_shortcode_id=&#8221;109420&#8243; text_color_type=&#8221;uncode-palette&#8221;]Artificial intelligence for public transport[\/vc_custom_heading][vc_column_text text_lead=&#8221;yes&#8221; text_color=&#8221;color-xsdn&#8221; uncode_shortcode_id=&#8221;112112&#8243; text_color_type=&#8221;uncode-palette&#8221;]From integrating travel validation data to<br \/>\nusing <strong style=\"color: #ffffff;\">IoT sensors and Open Data<\/strong>, our tools<br \/>\neliminate reliance on traditional surveys, providing<br \/>\nan <strong style=\"color: #ffffff;\">accurate, real-time view<\/strong> of urban mobility[\/vc_column_text][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;4&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;0&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;step_2_3&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;595867&#8243; back_color_type=&#8221;uncode-palette&#8221; css=&#8221;.vc_custom_1758629738466{margin-bottom: 15px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;106053&#8243;][uncode_block id=&#8221;158881&#8243; inside_column=&#8221;yes&#8221;][\/vc_column][\/vc_row][vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_use_pixel=&#8221;yes&#8221; border_color=&#8221;color-lxmt&#8221; border_style=&#8221;solid&#8221; shift_y=&#8221;0&#8243; z_index=&#8221;2&#8243; enable_top_divider=&#8221;default&#8221; top_divider=&#8221;step&#8221; shape_top_h_use_pixel=&#8221;true&#8221; shape_top_height_percent=&#8221;33&#8243; shape_top_color=&#8221;color-xsdn&#8221; shape_top_opacity=&#8221;100&#8243; shape_top_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;157805&#8243; shape_top_color_type=&#8221;uncode-palette&#8221; column_width_pixel=&#8221;1360&#8243; css=&#8221;.vc_custom_1758620519860{border-top-width: 1px !important;}&#8221; border_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;4&#8243; style=&#8221;dark&#8221; back_color=&#8221;accent&#8221; overlay_alpha=&#8221;50&#8243; radius=&#8221;lg&#8221; shadow=&#8221;lg&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;-4&#8243; shift_y_fixed=&#8221;yes&#8221; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;112035&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; align_medium=&#8221;align_center_tablet&#8221; medium_width=&#8221;0&#8243; align_mobile=&#8221;align_center_mobile&#8221; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;885361&#8243;][vc_custom_heading heading_semantic=&#8221;h5&#8243; text_size=&#8221;h3&#8243; text_weight=&#8221;400&#8243; text_height=&#8221;&#8221; uncode_shortcode_id=&#8221;194075&#8243;]We have analytical models for understanding mobility, which automate techniques for understanding and analyzing public transport demand, obtaining the modal transport chain of users, origin\/destination matrices, and predictive demand models. This leaves behind traditional survey methods, which are inefficient and costly.[\/vc_custom_heading][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;50&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;0&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;0&#8243; column_width_percent=&#8221;95&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;766883&#8243; back_color_type=&#8221;uncode-palette&#8221; row_height_pixel=&#8221;400&#8243;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;-2&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;2&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;560141&#8243;][vc_column_text uncode_shortcode_id=&#8221;111059&#8243;]Virtual Desk has advanced analytics solutions, based on Big Data technologies, that provide important knowledge of the functioning of traveler demand, the operation of the transport service, route optimization, etc.[\/vc_column_text][uncode_list icon=&#8221;fa fa-check&#8221; icon_color=&#8221;color-blue&#8221; css_animation=&#8221;right-t-left&#8221; uncode_shortcode_id=&#8221;602703&#8243; icon_color_type=&#8221;uncode-palette&#8221; el_class=&#8221;lista&#8221;]<\/p>\n<ul>\n<li><strong>Origin\/Destination Matrix Analysis:<\/strong> Generates accurate matrices to identify mobility patterns and plan optimal routes and schedules.<\/li>\n<li><strong>Modal Chain Management:<\/strong> Analyzes complete user journeys, integrating different modes of transport to improve intermodality.<\/li>\n<li><strong>Real-Time Monitoring:<\/strong> Monitors the status of the transport network, including ridership, delays, and unforeseen events, with real-time updates.<\/li>\n<li><strong>Data Source Integration:<\/strong> Combines data from trip validations, IoT sensors, Open Data, weather information, and social media for comprehensive analysis.<\/li>\n<li><strong>AI Predictive Models:<\/strong> Uses artificial intelligence to forecast transport demand and anticipate events such as strikes, holidays, or adverse weather conditions.<\/li>\n<\/ul>\n<p>[\/uncode_list][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;middle&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;0&#8243; back_image=&#8221;157484&#8243; back_repeat=&#8221;no-repeat&#8221; back_position=&#8221;center center&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_visibility=&#8221;yes&#8221; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;539206&#8243; back_size=&#8221;110%&#8221;][vc_single_image media=&#8221;157482&#8243; media_width_percent=&#8221;100&#8243; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;116525&#8243;][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;3&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;183606&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;left&#8221; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;1&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/6&#8243; uncode_shortcode_id=&#8221;103787&#8243;][vc_custom_heading text_color=&#8221;color-blue&#8221; heading_semantic=&#8221;h4&#8243; uncode_shortcode_id=&#8221;740017&#8243; text_color_type=&#8221;uncode-palette&#8221;]Benefits of the solution[\/vc_custom_heading][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;left&#8221; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;1&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_visibility=&#8221;yes&#8221; mobile_width=&#8221;0&#8243; width=&#8221;1\/6&#8243; uncode_shortcode_id=&#8221;123701&#8243;][vc_single_image media=&#8221;157486&#8243; media_width_percent=&#8221;70&#8243; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;187532&#8243;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_icon display=&#8221;inline&#8221; icon=&#8221;fa fa-database&#8221; size=&#8221;fa-2x&#8221; text_size=&#8221;h4&#8243; title=&#8221;Efficient planning&#8221; uncode_shortcode_id=&#8221;197176&#8243;]Optimize the transport network with real-time data, reducing operating costs and improving the user experience.[\/vc_icon][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_icon display=&#8221;inline&#8221; icon=&#8221;fa fa-th-large&#8221; size=&#8221;fa-2x&#8221; text_size=&#8221;h4&#8243; title=&#8221;Demand anticipation&#8221; uncode_shortcode_id=&#8221;333561&#8243;]It predicts mobility patterns with AI models, adapting services to events such as holidays or disruptions.[\/vc_icon][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_icon display=&#8221;inline&#8221; icon=&#8221;fa fa-user-secret&#8221; size=&#8221;fa-2x&#8221; text_size=&#8221;h4&#8243; title=&#8221;Sustainability&#8221; uncode_shortcode_id=&#8221;156741&#8243;]Minimize environmental impact by optimizing routes and reducing fuel consumption.[\/vc_icon][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_icon display=&#8221;inline&#8221; icon=&#8221;fa fa-cloud&#8221; size=&#8221;fa-2x&#8221; text_size=&#8221;h4&#8243; title=&#8221;Cost savings&#8221; uncode_shortcode_id=&#8221;186430&#8243;]It replaces traditional methods such as mobility surveys with automated analysis, saving time and resources.[\/vc_icon][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;accent&#8221; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;207409&#8243; back_color_type=&#8221;uncode-palette&#8221; el_class=&#8221;solucion&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;4&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; css_animation=&#8221;alpha-anim&#8221; animation_speed=&#8221;1000&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;165339&#8243;][vc_custom_heading text_size=&#8221;h1&#8243; uncode_shortcode_id=&#8221;174578&#8243; text_color_type=&#8221;uncode-palette&#8221; text_color_solid=&#8221;#ff0000&#8243; subheading=&#8221;Having accurate, reliable, and up-to-date information is essential for planning public and private transportation infrastructure and services.<\/p>\n<p>Virtual Desk&#8217;s Big Data and Analytics solutions transform transportation management by providing precise, real-time information. Our technology analyzes data from multiple sources to optimize routes, anticipate demand, and improve operational efficiency, replacing traditional methods such as mobility surveys.<\/p>\n<p>With a focus on innovation, we integrate data from trip validations, IoT sensors, Open Data, and weather information to offer a strategic view of urban mobility, helping operators and public administrations make informed decisions.&#8221; el_class=&#8221;margen&#8221;]How does the solution work?[\/vc_custom_heading][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; border_color=&#8221;color-xsdn&#8221; border_style=&#8221;solid&#8221; shift_x=&#8221;1&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;2\/3&#8243; uncode_shortcode_id=&#8221;677804&#8243; css=&#8221;.vc_custom_1751624897028{border-left-width: 1px !important;padding-top: 4% !important;padding-left: 20px !important;}&#8221; border_color_type=&#8221;uncode-palette&#8221;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;4&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; uncode_shortcode_id=&#8221;115228&#8243; css=&#8221;.vc_custom_1748398372065{padding-right: 4% !important;padding-left: 4% !important;}&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243;][vc_custom_heading text_color=&#8221;color-xsdn&#8221; heading_semantic=&#8221;h5&#8243; text_size=&#8221;h1&#8243; uncode_shortcode_id=&#8221;945982&#8243; text_color_type=&#8221;uncode-palette&#8221;]Features[\/vc_custom_heading][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;138257&#8243; css=&#8221;.vc_custom_1758619906740{padding-right: 4% !important;padding-left: 4% !important;}&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; style=&#8221;light&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;150964&#8243;][vc_icon icon=&#8221;fa fa-eye2&#8243; icon_color=&#8221;color-xsdn&#8221; size=&#8221;fa-2x&#8221; text_size=&#8221;h5&#8243; text_reduced=&#8221;yes&#8221; uncode_shortcode_id=&#8221;782033&#8243; 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