{"id":11966,"date":"2018-06-17T14:10:50","date_gmt":"2018-06-17T12:10:50","guid":{"rendered":"https:\/\/www.intellias.com\/?p=11966"},"modified":"2024-01-09T14:34:02","modified_gmt":"2024-01-09T13:34:02","slug":"mobility-as-a-service-solution-for-improved-transit-experience","status":"publish","type":"post","link":"https:\/\/intellias.com\/mobility-as-a-service-solution-for-improved-transit-experience\/","title":{"rendered":"Mobility as a Service Solution for Improved Transit Experience"},"content":{"rendered":"<h2 id=\"business-challenge\">Business challenge<\/h2>\n<p>Our client, one of the world\u2019s leaders in <a href=\"https:\/\/intellias.com\/gis-services\/\" target=\"_blank\" rel=\"noopener noreferrer\">location-based data services<\/a> and solutions for smart urban mobility, intended to set up a new <span lang=\"EN\">mobility as a service <\/span> system to deliver rich navigation data to a variety of transportation services, including for public transport, bike-sharing, car-sharing, taxis, and car rentals.<\/p>\n<p>However, it turned out our client was unable to sell their real-time transit data directly to businesses and enterprises because their existing data pipeline and routing engine were built around HaCon\u2019s commercial HAFAS technology. This placed a big limitation on licensing of <span lang=\"EN\">mobility as a service solution\u00a0<\/span>and called for a major change in the data format.<\/p>\n<p>Our client decided to rebuild their data processing facilities to avoid any restrictions imposed by licensed third-party technologies. This meant recoding every single step of data processing in the pipeline of <span lang=\"EN\">mobility as a service system<\/span>\u00a0to convert data from the private HAFAS format into the widely accepted GTFS standard.<\/p>\n<p>Since 2015, our client had already been collaborating with Intellias on several location services and mobile navigation workstreams. This led them to trust our expertise and request a team of lead and senior Python engineers to develop <a href=\"https:\/\/intellias.com\/urban-mobility\/\">mobility transport solutions<\/a>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-11969 size-full\" src=\"https:\/\/intellias.com\/wp-content\/uploads\/2018\/11\/urban-mobility.png\" alt=\"Mobility as a Service Solution for Improved Transit Experience\" width=\"770\" height=\"450\" srcset=\"https:\/\/intellias.com\/wp-content\/uploads\/2018\/11\/urban-mobility.png 770w, https:\/\/intellias.com\/wp-content\/uploads\/2018\/11\/urban-mobility-300x175.png 300w, https:\/\/intellias.com\/wp-content\/uploads\/2018\/11\/urban-mobility-768x450.png 768w\" sizes=\"(max-width: 770px) 100vw, 770px\" \/><\/p>\n<h2 id=\"maas-mobility-as-a-service-platform-delivered\">MaaS mobility as a service platform delivered<\/h2>\n<p>Intellias set up a mature development team that has scaled our client\u2019s engineering capacity in several respects for <a href=\"https:\/\/intellias.com\/urban-mobility\/\" target=\"_blank\" rel=\"noopener noreferrer\">smart mobility city solutions<\/a>:<\/p>\n<ul>\n<li><b>Data pipeline and routing engine<\/b><\/li>\n<\/ul>\n<p>Our primary goal was to rebuild the legacy data processing pipeline of MaaS <span style=\"font-weight: 400;\">public transport management software<\/span> to ingest raw data in the common GTFS format. The Jenkins-based <span style=\"font-weight: 400;\">public transport planning software<\/span><span lang=\"EN\">\u00a0<\/span> we delivered accepts public transit schedules and real-time, tracking data from transit agencies around the globe. This data goes through a complex 19-step processing flow, during which it\u2019s extended, optimized, merged, concatenated, normalized, and validated. The pipeline functions in continuous data delivery mode.<\/p>\n<p>We also reworked the proprietary routing engine so it no longer uses any licensed third-party components. This freed our client from any licensing restrictions so they could monetize their transit data for <span style=\"font-weight: 400;\">public transport software<\/span><span lang=\"EN\">\u00a0as a service business model<\/span>.<\/p>\n<p>To support this transition, Intellias engineers implemented a mechanism that converts transit data between the HAFAS and GTFS formats. This enabled us to sequentially migrate individual pipeline components to GTFS without hampering existing production processes.<\/p>\n<p>Our engineers also implemented various pipeline plugins to fetch real-time location and arrival data for many modes of public MaaS transportation. This allows the <span lang=\"EN\">mobility platform as a service <\/span> to display accurate arrival and departure times, for example on bus and train station screens. Currently, our client\u2019s <span style=\"font-weight: 400;\">public transport planning software<\/span> delivers real-time position data to transportation and travel agencies throughout the world.<\/p>\n<ul>\n<li><b>Data verification and enrichment<\/b><\/li>\n<\/ul>\n<p>Our team is in charge of processing, testing, refining, and improving low-quality data based on historical data owned by our client. The result is high-quality, credible data that makes our client a reliable go-to source of transit information for global services including Facebook and Amazon.<\/p>\n<ul>\n<li><b>New features for <span lang=\"EN\">transportation as a service<\/span><\/b><\/li>\n<\/ul>\n<p>The Intellias team is constantly updating our client\u2019s <span style=\"font-weight: 400;\">transportation software for public transport<\/span> with new components and features as required.<\/p>\n<p>One feature we built is a fully functional <b>geometry editor<\/b> \u2013 a UI tool that belongs to the pipeline management suite and allows transportation data engineers to manually edit the geometry of public transit routes on city maps. This tool was needed because the pipeline is sometimes unable to automatically build proper route lines based on the incoming data. Once routes are corrected, a transportation data engineer can reprocess data for the affected region.<\/p>\n<p>We are now adding <strong>MaaS<\/strong>\u00a0<b>transportation sharing functionality<\/b> to the navigation platform-based app to enable access to car-, bike-, and scooter-sharing services in Europe. This will make real-time search for vehicles possible and allow users to see vacant parking spots where they can leave shared vehicles.<\/p>\n<ul>\n<li><b>Performance improvements<\/b><\/li>\n<\/ul>\n<p>Intellias engineers have been working on the system\u2019s algorithms and have made considerable improvements to the <span lang=\"EN\">MaaS solution <\/span>pipeline\u2019s functionality. Specifically, we have sped up execution of the stop matching algorithm by several times. This complicated algorithm takes the IDs of transit stops from different agencies and matches them to the system\u2019s internal stop IDs. We improved the entire compilation process.<\/p>\n<p>Additionally, we have developed a mechanism that merges inconsistent information on public transport stops from different transit agencies. For example, when a stop lies on both a bus route and a tram route, bus and tram operators can present this stop\u2019s GPS position with slight deviations. Our algorithm detects these inconsistencies and merges the stops into a single physical transit stop on a city\u2019s public transport map.<\/p>\n<ul>\n<li><b>Customization<\/b><\/li>\n<\/ul>\n<p>As building IT infrastructure is extremely capital-intensive and unaffordable for the majority of transport agencies and even municipalities, we came up with the idea to develop tailor-made solutions for businesses. With all the necessary software and algorithms at our disposal, our team created a customized smart urban mobility application to build maps, display schedule data, create points of interest, and work out routes across a city.<\/p>\n<p>With this new <span style=\"font-weight: 400;\">public transport management software<\/span>, users can build routes based on bus, tram, trolley, and underground stations as well as user-defined points of interest. The product also provides information on layovers and walking routes. The existing app works both online and offline, making urban mobility faster, safer, and more comfortable.<\/p>\n<h2 id=\"business-outcome\">Business outcome<\/h2>\n<p>After four years of cooperation, Intellias has proven its status as a reliable and competent outsourcing partner for development of <span lang=\"EN\">mobility platform as a service and software for smart city<\/span>. We quickly scaled our client\u2019s engineering capacity and put our client in a strong position to provide mobility as a service.<\/p>\n<p>Our team keeps the whole data processing system up and running. We also support transformation processes within our client\u2019s organization. The smart urban mobility platform we built will now connect to our client\u2019s Open Location Platform (OLP) for data storage. Our team will oversee this shift to provide seamless data transfer and integration.<\/p>\n<p>Intellias contributions to the enterprise mobility platform have already helped spark interest from potential data service customers \u2013 municipalities and recognized enterprises in the automotive, transportation, and other domains.<\/p>\n<p>Our collaboration for <span style=\"font-weight: 400;\">public transport planning software development<\/span>\u00a0is constantly growing. The Intellias project team covers new feature sets for emerging transit services that power advanced trip planner applications, public transport service analytics, and transit-savvy mobile and in-dash navigation systems.<\/p>\n<p><b>The <span lang=\"EN\">MaaS mobility as a service solution\u00a0<\/span>we\u2019re developing offers these advantages to urban commuters:<\/b><\/p>\n<ul>\n<li>Comprehensive public transit data for over 1,000 cities worldwide<\/li>\n<li>Guided multimodal navigation packed with great online and offline capabilities<\/li>\n<li>Integration with all possible modes of urban transit<\/li>\n<li>Bicycle route calculations with a detailed consideration of cycling infrastructure<\/li>\n<li>Easy navigation to nearby taxi stands and parking lots<\/li>\n<li>Highly localized cost and travel time estimates for multiple transit modes<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019re improving an IoT-enabled mobility as a service solution for faster and cost-efficient journeys to daily commuters and travelers<\/p>\n","protected":false},"author":6,"featured_media":49675,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5],"tags":[33,11,458],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.1 (Yoast SEO v22.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Mobility as a Service Solution for Improved Transit Experience | Intellias<\/title>\n<meta name=\"description\" content=\"We\u2019re improving an IoT-enabled mobility as a service solution for faster and cost-efficient journeys to daily commuters and travelers.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/intellias.com\/mobility-as-a-service-solution-for-improved-transit-experience\/\" \/>\n<meta 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