{"id":687205,"date":"2025-08-26T08:52:00","date_gmt":"2025-08-26T05:52:00","guid":{"rendered":"https:\/\/buradabiliyorum.com\/en\/predicting-sudden-traffic-congestion-in-real-time-using-optical-fiber-cables\/"},"modified":"2025-08-26T08:52:00","modified_gmt":"2025-08-26T05:52:00","slug":"predicting-sudden-traffic-congestion-in-real-time-using-optical-fiber-cables","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/predicting-sudden-traffic-congestion-in-real-time-using-optical-fiber-cables\/","title":{"rendered":"Predicting sudden traffic congestion in real time using optical fiber cables"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a2b12111740b\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a2b12111740b\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/predicting-sudden-traffic-congestion-in-real-time-using-optical-fiber-cables\/#Technology_overview\" >Technology overview<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/predicting-sudden-traffic-congestion-in-real-time-using-optical-fiber-cables\/#Technical_features\" >Technical features<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/predicting-sudden-traffic-congestion-in-real-time-using-optical-fiber-cables\/#Data_adaptation_algorithm\" >Data adaptation algorithm<\/a><\/li><\/ul><\/nav><\/div>\n<div>\n<div class=\"article-gallery lightGallery\">\n<div data-thumb=\"https:\/\/scx1.b-cdn.net\/csz\/news\/tmb\/2025\/nec-technology-predict.jpg\" data-src=\"https:\/\/scx2.b-cdn.net\/gfx\/news\/2025\/nec-technology-predict.jpg\" data-sub-html=\"Credit: NEC\">\n<figure class=\"article-img\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/scx1.b-cdn.net\/csz\/news\/800a\/2025\/nec-technology-predict.jpg\" alt=\"NEC technology predicts sudden traffic congestion in real time using optical fiber cables\" title=\"Credit: NEC\" width=\"800\" height=\"391\"\/><figcaption class=\"text-darken text-low-up text-truncate-js text-truncate mt-3\">\n                Credit: NEC<br \/>\n            <\/figcaption><\/figure>\n<\/p><\/div>\n<\/div>\n<p>NEC Corporation has developed an optical fiber sensing <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/technology\/\" data-internallinksmanager029f6b8e52c=\"4\" title=\"Technology\" target=\"_blank\" rel=\"noopener\">technology<\/a> to monitor road conditions and accurately predict sudden traffic congestion in real time. By collecting data from existing optical fiber communications cables and analyzing real-time traffic flow data using a proprietary AI model, the researchers have reduced prediction errors by 80% compared to conventional methods.<\/p>\n<p>This technology enables effective traffic control, including the arrangement of detour routes, thereby contributing to the resolution of societal challenges such as logistics issues and CO<sub>2<\/sub> emissions.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Technology_overview\"><\/span>Technology overview<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Traffic congestion is a significant <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/social-mediaa\/\" data-internallinksmanager029f6b8e52c=\"1\" title=\"Social Media\" target=\"_blank\" rel=\"noopener\">social<\/a> issue, threatening safety and causing substantial economic losses. In particular, congestion on expressways\u2014the backbone of many logistics networks\u2014has a significant economic impact. Addressing this issue requires real-time understanding of road conditions for both immediate congestion mitigation and proactive avoidance, as well as highly accurate congestion prediction based on up-to-date data.<\/p>\n<p>Current monitoring <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">app<\/a>roaches primarily rely on point-based instruments, including cameras and loop detectors, as well as probe vehicle data. However, both have limitations: the former is costly to install and maintain over entire road networks, and the latter only provides data when equipped vehicles pass by specific receiver points, limiting real-time and continuous coverage. Moreover, existing congestion prediction models heavily rely on long-term historical data, making it difficult to capture the emergence and propagation of sudden, unexpected congestion patterns.<\/p>\n<p>To address these challenges, NEC has developed a technology that utilizes optical fiber cables\u2014originally installed for communications purposes alongside roads\u2014as extensive, distributed sensors for collecting real-time, continuous traffic flow data across entire routes. NEC&#8217;s unique AI-powered model then provides real-time, high-precision predictions regarding the development and clearance of sudden congestion.<\/p>\n<div class=\"article-gallery lightGallery\">\n<div data-thumb=\"https:\/\/scx1.b-cdn.net\/csz\/news\/tmb\/2025\/nec-technology-predict-1.jpg\" data-src=\"https:\/\/scx2.b-cdn.net\/gfx\/news\/2025\/nec-technology-predict-1.jpg\" data-sub-html=\"Credit: NEC\">\n<figure class=\"article-img text-center\">\n            <img decoding=\"async\" src=\"https:\/\/scx1.b-cdn.net\/csz\/news\/800a\/2025\/nec-technology-predict-1.jpg\" alt=\"NEC technology predicts sudden traffic congestion in real time using optical fiber cables\" title=\"Credit: NEC\"\/><figcaption class=\"text-left text-darken text-truncate text-low-up mt-3\">\n                Credit: NEC<br \/>\n            <\/figcaption><\/figure>\n<\/p><\/div>\n<\/div>\n<p>                                                                                                        <!-- TechX - News - In-article --><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Technical_features\"><\/span>Technical features<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>NEC has developed a data assimilation algorithm that combines advanced model parameter optimization and data adapting techniques, enabling accurate simulations of real-time traffic flow using comprehensive data collected along the entirety of roadways.<\/p>\n<p>The team has created an algorithm to optimize theoretical model parameters\u2014such as driver behaviors (e.g., inter-vehicle distance adjustment)\u2014so that simulations faithfully reproduce observed traffic flow data for entire road segments.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_adaptation_algorithm\"><\/span>Data adaptation algorithm<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>An advanced algorithm converts diverse traffic flow data, including &#8220;average speed&#8221; and individual vehicle &#8220;position\/speed,&#8221; into formats compatible with simulation inputs. This makes it possible to set the initial conditions for simulations based on comprehensive traffic flow data obtained on entire routes, significantly enhancing the reliability of simulation outputs.<\/p>\n<p>Through these innovations, the researchers have confirmed\u2014using real-world data\u2014that <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/trip-and-travel\/\" data-internallinksmanager029f6b8e52c=\"10\" title=\"Trip &amp; Travel\" target=\"_blank\" rel=\"noopener\">travel<\/a> time prediction errors (a key indicator for congestion forecasting) can be reduced by approximately 80% compared to the existing method that relies on cross-sectional data from point sensors such as cameras.<\/p>\n<p>NEC is further advancing the realization of a dynamic road digital twin that enables real-time, network-wide traffic monitoring, the prediction of congestion evolution, and optimization of responsive measures. Real-world trials are currently underway in close collaboration with road authorities, with the goal of practical deployment by fiscal 2026.<\/p>\n<p>This technology was developed using data provided by Central Nippon Expressway Company Limited (NEXCO CENTRAL) and was presented at the Transportation Research Board <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.ectri.org\/conferences\/trb-104th-annual-meeting\/\" target=\"_blank\">104th Annual Meeting<\/a> held in Washington D.C. January 5\u20139, 2025 as a paper titled &#8220;A Novel Approach to Real-Time Short-Term Traffic Prediction based on Distributed Fiber-Optic Sensing and Data Assimilation with a Stochastic Cell-Automata Model.&#8221; It is <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2501.03628\" target=\"_blank\">available<\/a> on the <i>arXiv<\/i> preprint server.<\/p>\n<p>A related paper will be presented at the <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/itsa.org\/event\/2025-its-world-congress-august-24-28-2025\/\" target=\"_blank\">31st ITS World Congress<\/a> in Atlanta, Georgia, U.S. held August 24\u201328, focused on enhancing the accuracy of traffic flow monitoring on expressways.<\/p>\n<div class=\"article-main__more p-4\">\n<p><strong>More information:<\/strong><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\tYoshiyuki Yajima et al, A Novel Approach to Real-Time Short-Term Traffic Prediction based on Distributed Fiber-Optic Sensing and Data Assimilation with a Stochastic Cell-Automata Model, <i>arXiv<\/i> (2025). <a rel=\"nofollow\" target=\"_blank\" data-doi=\"1\" href=\"https:\/\/dx.doi.org\/10.48550\/arxiv.2501.03628\" target=\"_blank\">DOI: 10.48550\/arxiv.2501.03628<\/a><\/p>\n<div class=\"mt-3\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<strong>Journal information:<\/strong><br \/>\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<cite>arXiv<\/cite><br \/>\n                                                        <a rel=\"nofollow\" target=\"_blank\" class=\"icon_open\" href=\"http:\/\/arxiv.org\/\" target=\"_blank\" rel=\"nofollow\"><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<svg>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<use href=\"https:\/\/techx.b-cdn.net\/tmpl\/v2\/img\/svg\/sprite.svg#icon_open\" x=\"0\" y=\"0\"\/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/svg><br \/>\n\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\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n<\/p><\/div>\n<p>\n                                                Provided by<br \/>\n                                                                                                    NEC<\/p>\n<p>                                        <!-- print only --><\/p>\n<div class=\"d-none d-print-block\">\n<p>\n                                                <strong>Citation<\/strong>:<br \/>\n                                                Predicting sudden traffic congestion in real time using optical fiber cables (2025, August 25)<br \/>\n                                                retrieved 26 August 2025<br \/>\n                                                from https:\/\/techxplore.com\/<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/news\/\" data-internallinksmanager029f6b8e52c=\"2\" title=\"News\" target=\"_blank\" rel=\"noopener\">news<\/a>\/2025-08-sudden-traffic-congestion-real-optical.html\n                                            <\/p>\n<p>\n                                            This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no<br \/>\n                                            part may be reproduced without the written permission. The content is provided for information purposes only.\n                                            <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><script id=\"facebook-jssdk\" async=\"\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js\"><\/script><\/p>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more Like this articles, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/buradabiliyorum.com\/en\/category\/sciencee\/\" target=\"_blank\" >Science category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/techxplore.com\/news\/2025-08-sudden-traffic-congestion-real-optical.html\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Credit: NEC NEC Corporation has developed an optical fiber sensing technology to monitor road conditions and accurately predict sudden traffic congestion in real time. By collecting data from existing optical fiber communications cables and analyzing real-time traffic flow data using a proprietary AI model, the researchers have reduced prediction errors by 80% compared to conventional&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[16],"tags":[],"class_list":["post-687205","post","type-post","status-publish","format-standard","hentry","category-sciencee"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/687205","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=687205"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/687205\/revisions"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=687205"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=687205"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=687205"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}