{"id":8969,"date":"2026-02-09T12:41:08","date_gmt":"2026-02-09T11:41:08","guid":{"rendered":"https:\/\/ebblo.musterpage.ch\/dev\/?p=8969"},"modified":"2026-02-09T12:45:28","modified_gmt":"2026-02-09T11:45:28","slug":"rise-of-the-machines","status":"publish","type":"post","link":"https:\/\/ebblo.com\/en-intl\/rise-of-the-machines\/","title":{"rendered":"Rise of the machines: How advanced computing will drive bus ridership recovery"},"content":{"rendered":"\n<section id=\"res-header-image-block_928c09da6f3238ea89818517b0664da8\" class=\"res-block res-header-image alignwide style-standard background: transparent mt-2\">\n  <div class=\"res-header-img-outside fadeIn duration1 \"  data-aos=\"res-fadeIn\">\n\t<div class=\"res-header-height \">\n\t\t\n\t\n\t  <style> \n\t\t  @media only screen and (min-width: 970px) {\n\t\t\t #res-header-image-block_928c09da6f3238ea89818517b0664da8.res-header-image .layout-1.header-img-height { height: 50vh;}  \n\t\t\t #res-header-image-block_928c09da6f3238ea89818517b0664da8.res-header-image .layout-1 .res-header-image-vertical-center { top: 66%;} \n\t\t\t  \t\t\t  \n\t\t\t\n          \t\t  }\n\n\n\t\t  @media only screen and (max-width: 970px) {\n\n                      #res-header-image-block_928c09da6f3238ea89818517b0664da8.res-header-image .layout-1.header-img-height { height: 35vh;}\n          \n                      #res-header-image-block_928c09da6f3238ea89818517b0664da8.res-header-image .layout-1.header-img-mobile { height: 35vh;}\n          \n\t\t\t\n            \n\t\t\t  #res-header-image-block_928c09da6f3238ea89818517b0664da8.res-header-image .layout-1 .res-header-image-vertical-center { top: 55%;}  \n\t\t\t  \t\t  }\n\t\t            \n                 #res-header-image-block_928c09da6f3238ea89818517b0664da8.res-header-image .layout-1 .header-img-bg-opacity {\n                     opacity: 1;\n                }\n           \n\t  <\/style>\n\n        <div class=\"layout-1 jarallax header-img-height header-img-desktop\"\n             data-speed=\"0.6\"\n             style=\"background-color: #000;\">\n\n\t\t\t        <div class=\"res-header-image-vertical-center\">\n            <div class=\"container-fluid\">\n\n\t\t\t\t                    <div class=\"sloganBox\">\n                        <div class=\"row\">\n                            <div class=\"col col-md-8 text-left\">\n                                <div class=\"slogan-txt \" data-aos=\"res-leftIncoming\">\n\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n\t\t\t\t\n            <\/div>\n        <\/div>\n\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/rise-of-the-machines-blog.jpg\" class=\"jarallax-img img-fluid header-img-bg-opacity\" alt=\"\" srcset=\"https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/rise-of-the-machines-blog.jpg 1920w, https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/rise-of-the-machines-blog-600x338.jpg 600w, https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/rise-of-the-machines-blog-1300x731.jpg 1300w, https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/rise-of-the-machines-blog-768x432.jpg 768w, https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/rise-of-the-machines-blog-1536x864.jpg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/>\n\t\t\t\n        <\/div>\n\n\t\t\n\n       \n\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<section id=\"res-txt-block_4799ef9f99087cbfccd673d5fada4ce7\" class=\"res-block res-txt style-standard layout01 py-3  Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-small \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-12 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\t\t\t   <h1 class=\"title-h1 \">Rise of the machines: How advanced computing will drive bus ridership recovery<\/h1>\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>Machine Learning is an increasingly common aspect of modern life. Using the power of modern computing, it enables vast volumes of data to be harnessed, delivering valuable insight and improvements to everyday products or services, including fraud detection in online banking and tailored recommendations within streaming, shopping, and social media platforms.<\/p>\n<p>Given its power, there is little doubt that Machine Learning will play a transformative role in shaping the public transport networks of tomorrow. Indeed, there is an expectation that it will pave the way to an entirely new generation of bus prediction algorithms, ensuring truly accurate passenger information, whatever the level of disruption on the roads.Developments in this area have already begun: ebblo is currently working on a project in which Machine Learning is being used to improve the reliability of public transport information systems.<\/p>\n<p>Machine Learning technology enables us to bring together far more data points, thereby continually increasing the accuracy of real-time prediction algorithms. In this way we aim to ensure greater reliability of bus services, making public transport more attractive, and ultimately growing ridership.<\/p>\n<h3><strong>The Quest for Prediction Accuracy<\/strong><\/h3>\n<p>Bus arrival and journey time prediction accuracy is notoriously challenging due to the volume and complexity of factors involved.<\/p>\n<p>At ebblo, we have vast ITS experience and already use powerful algorithms to calculate prediction times. We are proud of our record and believe few organisations come close to matching us in this area.<\/p>\n<p>Our ITS system has consistently delivered against challenging prediction accuracy KPIs in London and Singapore, despite their notoriously complex and busy environments with thousands of incidents occurring daily.<\/p>\n<p>However, we recognise that passengers don\u2019t care about complexity, the challenges of near-constant disruption, or the quality of our algorithm and team. From the public\u2019s perspective, any time a bus fails to arrive when expected, it denies them the service they expect and demand.<\/p>\n<h3><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1714 alignleft\" src=\"https:\/\/trapezegroup.com.my\/wp-content\/uploads\/sites\/9\/2023\/12\/bus-machine-learning-predicting-time-300x201.jpg\" alt=\"\" width=\"451\" height=\"302\" data-eio=\"p\" \/><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><\/h3>\n<h3><strong>Distilling the Complexity<\/strong><\/h3>\n<p>Delivery of truly accurate predictions requires vast quantities of data. The Machine Learning solution which ebblo is developing begins by meshing together current vehicle locations with historical measurements of buses along the same patterns. However, a range of additional input factors are required to harness the power of Machine Learning, including \u2013 but not limited to \u2013 the following:<\/p>\n<p><strong>Weather<\/strong><br \/>\nWeather affects vehicle movements, so we blend in current weather conditions and use a Machine Learning algorithm to understand how this impacts predictions and then allocate \u2018weightings\u2019 to a range of scenarios.<\/p>\n<p><strong>Traffic<\/strong><br \/>\nCurrent traffic conditions must also be considered. Average vehicle speed data can be sourced from mobile phones and satellite navigation systems but cannot be blindly relied upon. For example, the presence or otherwise of bus lanes is a significant factor directing whether a bus will be able to move through a busy city.<\/p>\n<p><strong>Traffic Lights<\/strong><br \/>\nTraffic lights are perhaps the most significant impact on bus movements. Traffic light priority can play an essential role in keeping buses moving, but there is an additional challenge here because even when such a system is in place, historically, there has been no way to identify whether requests to change traffic lights were received and acted upon.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1715 alignnone\" src=\"https:\/\/trapezegroup.com.my\/wp-content\/uploads\/sites\/9\/2023\/12\/bus-Machine-Learning-Solution_-300x200.jpg\" alt=\"\" width=\"451\" height=\"300\" data-eio=\"p\" \/><\/p>\n<p>Our development team is therefore exploring ways to understand the impact of traffic light priority requests and responses on bus speeds, with the intention of building this into the algorithm.<\/p>\n<p>Once all the data, including that outlined above, has been identified and pulled together, it is then the task of the Machine Learning algorithm to identify the impact of the full range of factors on each specific journey and use this to refine arrival and journey prediction times in real-time.<\/p>\n<h3><strong>Mitigating Disruption<\/strong><\/h3>\n<p>While Machine Learning can increase overall prediction accuracy, it is, of course, unable to support in instances of unforeseeable disruption. For example, an accident or a vehicle stopped in a bus lane. Or is it?<\/p>\n<p>At ebblo, we are also exploring the potential for Machine Learning to support decision making during unforeseen incidents and adjust predictions accordingly.<br \/>\nFor example, in the event of a disruption that causes a service diversion, ITS Service Controllers could access previously defined and tested alternative routes (or \u2018paths\u2019), thereby enabling them to implement proven backup plans quickly. The recommended path will ensure minimal impact on passengers, maintaining maximum possible service quality on the route.<\/p>\n<p>Interestingly, this is similar to what ebblo&#8217;s rail business does for rail operators \u2013 creating pre-modelled plans that can be implemented during disruption.<\/p>\n<p>In this way, when disruption strikes, train operator staff can choose from a number of proven solutions that can be implemented almost at the touch of a button. As a result, passengers may not even notice the existence of an incident that would otherwise have been incredibly disruptive to both the operator and the travelling public.<\/p>\n<p>Naturally, there tend to be many more variables on roads than on train tracks, which makes this task even more complex. This is where the Machine Learning algorithm comes into play, by making it possible to manage a far greater volume of data and being adaptive to the changes.<\/p>\n<p>And finally, don\u2019t be so sure that technology can\u2019t do anything about incidents such as vehicles stopped in bus lanes: ebblo has also begun working with another sister company, Taranto Systems, which manages congestion and red route enforcement in major cities, including London.<\/p>\n<p>We are at an early stage, but we certainly see potential in connecting such systems. One possible integration relates to Taranto providing early warnings of potential issues on the road network, such as a vehicle blocking a route. This data could be immediately factored into passenger information systems, with issues impacting bus service delivery flagged for priority resolution.<\/p>\n<h3>Bringing Machine Learning to Life<\/h3>\n<p>It is not possible to effectively compare prediction accuracy between regions because they are largely directed by the innate level of \u2018chaos\u2019 within the locality. This is unrelated to its size: some major cities are relatively simple, making it easy to deliver very high levels of accuracy, while small towns can have immense complexity, resulting in significantly lower accuracy levels.<\/p>\n<p>We believe that the adoption of Machine Learning will deliver a transformative impact on prediction accuracy in towns and cities with very high complexity and disruption levels and provide opportunities to fine-tune algorithms to meet each city\u2019s requirements.<\/p>\n<p>Machine Learning is also becoming increasingly important in an electric vehicle world, as the same technology will underpin predictions for battery range. Of course, this subject is also incredibly complex, with many factors to consider, including the number of passengers on board, use of heating and air conditioning, and more.<\/p>\n<p>ebblo\u2019s development team is harnessing the power of Machine Learning for bus predictions right now.<\/p>\n<p>We know that service reliability remains an essential priority for bus users. Through Machine Learning, we can deliver a step change in relation to the accuracy of predictions, elevating the passenger experience, further restoring trust in bus travel, and driving essential ridership recovery.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n<p><\/p>\n\n\n\n\n\n<section id=\"res-txt-block_17ad13e90b9ffd479f792ed3ed7694e1\" class=\"res-block res-txt style-standard layout01 py-3  Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-12 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Related content<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n<section id=\"res-slider-content-block_eb247d1eb521187076c5077eaf69456c\" class=\"res-block res-slider-content alignleft style-standard py-1  Transparent\" style=\"background: transparent;\">\n\n\t<div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n\n\t\t\n\t\t\n\t\t\n\t\t<div class=\"slider-outside-frame\n\t\t\tno-center-mode-desktop\t\t\t\">\n\n\t\t\t<style>\n\t\t\t\t#res-slider-content-block_eb247d1eb521187076c5077eaf69456c .box-item {margin-right: 20px;}\n\t\t\t\t\n\t\t\t\t@media only screen and (min-width: 970px) {\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t}\n\t\t\t<\/style>\n\n\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div id=\"res_slider_content_Upzha9A2jC\"\n\t\t\t\t\t class=\"slider d-md-block d-block equal-boxheight\">\n\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"box-item my-1 boxlayout01 blog  \t\t\t\t\t\t\t\t\t mit-kategorie\" data-aos=\"res-rightIncoming\">\n \n\t\t\t\t\t\t\t\t\t<div class=\"box-inner flatbox scale-sliderbox h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/ebblo.com\/en-intl\/how-data-enhances-the-passenger-and-driver-experience\/\" target=\"_parent\">\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<div class=\"postBox text-left\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"postImg mb-1 overflow-hidden \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"750\" src=\"https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/How-Data-Enhances-the-Passenger-ebblo-1000x750.jpg\" class=\"img-fluid w-100 \" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"postContent box-content h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"small mb-1\">February 2026<\/p>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t<h4 >How data enhances the passenger and driver experience<\/h4>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"box-item my-1 boxlayout01 blog  \t\t\t\t\t\t\t\t\t mit-kategorie\" data-aos=\"res-rightIncoming\">\n \n\t\t\t\t\t\t\t\t\t<div class=\"box-inner flatbox scale-sliderbox h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/ebblo.com\/en-intl\/itxpt-is-connecting-bus-fleets-for-the-future\/\" target=\"_parent\">\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<div class=\"postBox text-left\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"postImg mb-1 overflow-hidden \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"750\" src=\"https:\/\/ebblo.com\/wp-content\/uploads\/2026\/01\/ITxPT-Resource-Page-Banner-ITxPT-ebblo-1000x750.jpg\" class=\"img-fluid w-100 \" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"postContent box-content h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"small mb-1\">January 2026<\/p>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t<h4 >ITxPT is connecting bus fleets for the future<\/h4>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"box-item my-1 boxlayout01 video  \t\t\t\t\t\t\t\t\t mit-kategorie\" data-aos=\"res-rightIncoming\">\n \n\t\t\t\t\t\t\t\t\t<div class=\"box-inner flatbox scale-sliderbox h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/ebblo.com\/en-intl\/ebblo-franchising-intelligence-transport-system-explainer-video\/\" target=\"_parent\">\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<div class=\"postBox text-left\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"postImg mb-1 overflow-hidden \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"750\" src=\"https:\/\/ebblo.com\/wp-content\/uploads\/2026\/02\/News-PTX-Schnittstelle-1000x750.jpg\" class=\"img-fluid w-100 \" alt=\"Ein Bus f\u00e4hrt \u00fcber eine Kreuzung\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"postContent box-content h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"small mb-1\">February 2026<\/p>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t<h4 >ebblo Franchising Intelligence Transport System \u2013 Explainer Video<\/h4>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"box-item my-1 boxlayout01 article  \t\t\t\t\t\t\t\t\t mit-kategorie\" data-aos=\"res-rightIncoming\">\n \n\t\t\t\t\t\t\t\t\t<div class=\"box-inner flatbox scale-sliderbox h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/ebblo.com\/en-intl\/access-to-avl\/\" target=\"_parent\">\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<div class=\"postBox text-left\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"postImg mb-1 overflow-hidden \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"750\" src=\"https:\/\/ebblo.com\/wp-content\/uploads\/2026\/01\/access-to-avlc-1000x750.jpg\" class=\"img-fluid w-100 \" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"postContent box-content h-100\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p class=\"small mb-1\">February 2023<\/p>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t<h4 >Access to Automatic Vehicle Location, Whatever your Budget<\/h4>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t\n\t\t<\/div>\n\n\t\t\t\t\n\t<\/div>\n\n\t\n<\/section>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":8970,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[73],"tags":[],"class_list":["post-8969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/posts\/8969","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/comments?post=8969"}],"version-history":[{"count":6,"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/posts\/8969\/revisions"}],"predecessor-version":[{"id":8981,"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/posts\/8969\/revisions\/8981"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/media\/8970"}],"wp:attachment":[{"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/media?parent=8969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/categories?post=8969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ebblo.com\/en-intl\/wp-json\/wp\/v2\/tags?post=8969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}