{"id":4641,"date":"2025-08-13T10:14:37","date_gmt":"2025-08-13T10:14:37","guid":{"rendered":"https:\/\/tttp-au.com\/?p=4641"},"modified":"2025-08-13T11:33:44","modified_gmt":"2025-08-13T11:33:44","slug":"urban-traffic-management-using-artificial-intelligencea-sustainable-approach-to-enhancing-urban-mobility","status":"publish","type":"post","link":"https:\/\/tttp-au.com\/index.php\/2025\/08\/13\/urban-traffic-management-using-artificial-intelligencea-sustainable-approach-to-enhancing-urban-mobility\/","title":{"rendered":"Urban Traffic Management Using Artificial Intelligence:A Sustainable Approach to Enhancing Urban Mobility"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"4641\" class=\"elementor elementor-4641\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e232701 elementor-section-height-min-height elementor-section-full_width elementor-hidden-tablet elementor-hidden-mobile elementor-section-height-default elementor-section-items-middle wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"e232701\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cb97594\" data-id=\"cb97594\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a18c791 elementor-widget__width-inherit ha-has-bg-overlay elementor-widget elementor-widget-heading\" data-id=\"a18c791\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vol. 10 No. 1 (2025): TTTP - APEIRON<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2fff26 elementor-widget elementor-widget-heading\" data-id=\"b2fff26\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52044bb elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"52044bb\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c82606 elementor-widget elementor-widget-heading\" data-id=\"1c82606\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Urban Traffic Management Using Artificial Intelligence:\nA Sustainable Approach to Enhancing Urban Mobility<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c297c9e elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c297c9e\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-21d12a9 e-grid e-con-full wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"21d12a9\" data-element_type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0209b05 elementor-widget elementor-widget-heading\" data-id=\"0209b05\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Original scientific paper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fd3ecf0 elementor-widget elementor-widget-heading\" data-id=\"fd3ecf0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">DOI: 10.7251\/JTTTP2501030I<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2f3b63f elementor-align-center elementor-widget elementor-widget-button\" data-id=\"2f3b63f\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/tttp-au.com\/wp-content\/uploads\/2025\/08\/Pages-from-TTTP-Vol-10_No-1_2025-WEB-5.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download Article PDF<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb7c4cb elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"cb7c4cb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61aebe3 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"61aebe3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c5f19e elementor-widget elementor-widget-heading\" data-id=\"5c5f19e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Keywords: Traffic management, AI, sustainability\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6dd494a wpr-logo-position-center elementor-widget elementor-widget-wpr-logo\" data-id=\"6dd494a\" data-element_type=\"widget\" data-widget_type=\"wpr-logo.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\n\t\t\t<div class=\"wpr-logo elementor-clearfix\">\n\n\t\t\t\t\t\t\t\t<picture class=\"wpr-logo-image\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/tttp-au.com\/wp-content\/uploads\/2024\/03\/cc-by-1.png\" alt=\"\">\n\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/tttp-au.com\/\"><\/a>\n\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/tttp-au.com\/\"><\/a>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb049d1 elementor-widget elementor-widget-shortcode\" data-id=\"cb049d1\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"post-views content-post post-4641 entry-meta load-static\">\r\n\t\t\t\t<span class=\"post-views-icon dashicons dashicons-chart-bar\"><\/span> <span class=\"post-views-label\">Post Views:<\/span> <span class=\"post-views-count\">562<\/span>\r\n\t\t\t<\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-511d0df elementor-section-height-min-height elementor-section-full_width elementor-hidden-mobile elementor-hidden-desktop elementor-hidden-laptop elementor-section-height-default elementor-section-items-middle wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"511d0df\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0acee9c\" data-id=\"0acee9c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c0e98b3 elementor-widget__width-inherit ha-has-bg-overlay elementor-widget elementor-widget-heading\" data-id=\"c0e98b3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vol. 10 No. 1 (2025): TTTP - APEIRON<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e6b43c5 elementor-widget elementor-widget-heading\" data-id=\"e6b43c5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-68f1849 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"68f1849\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-186a6b2 elementor-widget elementor-widget-heading\" data-id=\"186a6b2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Urban Traffic Management Using Artificial Intelligence:\nA Sustainable Approach to Enhancing Urban Mobility<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b2f501 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"7b2f501\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5027126 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"5027126\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Original scientific paper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a5312c elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"4a5312c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">DOI: 10.7251\/JTTTP2501030I<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8d7a912 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"8d7a912\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/tttp-au.com\/wp-content\/uploads\/2025\/08\/Pages-from-TTTP-Vol-10_No-1_2025-WEB-5.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download Article PDF<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-580ffd3 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"580ffd3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-211717e elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"211717e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62b72c3 elementor-widget elementor-widget-heading\" data-id=\"62b72c3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Keywords: Traffic management, AI, sustainability\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f4dcd16 wpr-logo-position-center elementor-widget elementor-widget-wpr-logo\" data-id=\"f4dcd16\" data-element_type=\"widget\" data-widget_type=\"wpr-logo.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\n\t\t\t<div class=\"wpr-logo elementor-clearfix\">\n\n\t\t\t\t\t\t\t\t<picture class=\"wpr-logo-image\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/tttp-au.com\/wp-content\/uploads\/2024\/03\/cc-by-1.png\" alt=\"\">\n\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/tttp-au.com\/\"><\/a>\n\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/tttp-au.com\/\"><\/a>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0f73093 elementor-widget elementor-widget-shortcode\" data-id=\"0f73093\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"post-views content-post post-4641 entry-meta load-static\">\r\n\t\t\t\t<span class=\"post-views-icon dashicons dashicons-chart-bar\"><\/span> <span class=\"post-views-label\">Post Views:<\/span> <span class=\"post-views-count\">562<\/span>\r\n\t\t\t<\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2d980b8 elementor-section-height-min-height elementor-section-full_width elementor-hidden-tablet elementor-hidden-desktop elementor-hidden-laptop elementor-section-height-default elementor-section-items-middle wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"2d980b8\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d772afa\" data-id=\"d772afa\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5597455 elementor-widget__width-inherit elementor-widget-mobile__width-inherit ha-has-bg-overlay elementor-widget elementor-widget-heading\" data-id=\"5597455\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vol. 10 No. 1 (2025): TTTP - APEIRON<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3e70ee elementor-widget elementor-widget-heading\" data-id=\"f3e70ee\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0a72e2 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"b0a72e2\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87a3678 elementor-widget elementor-widget-heading\" data-id=\"87a3678\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Urban Traffic Management Using Artificial Intelligence:\nA Sustainable Approach to Enhancing Urban Mobility<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-96936f4 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"96936f4\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f04febc elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-heading\" data-id=\"f04febc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Original scientific paper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-389228b elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-heading\" data-id=\"389228b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">DOI: 10.7251\/JTTTP2501030I<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73b8917 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"73b8917\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/tttp-au.com\/wp-content\/uploads\/2025\/08\/Pages-from-TTTP-Vol-10_No-1_2025-WEB-5.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download Article PDF<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80faf79 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"80faf79\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8cefffd elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"8cefffd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c5e44b elementor-widget elementor-widget-heading\" data-id=\"0c5e44b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Keywords: Traffic management, AI, sustainability\n\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dee52ab wpr-logo-position-center elementor-widget elementor-widget-wpr-logo\" data-id=\"dee52ab\" data-element_type=\"widget\" data-widget_type=\"wpr-logo.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\n\t\t\t<div class=\"wpr-logo elementor-clearfix\">\n\n\t\t\t\t\t\t\t\t<picture class=\"wpr-logo-image\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/tttp-au.com\/wp-content\/uploads\/2024\/03\/cc-by-1.png\" alt=\"\">\n\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/tttp-au.com\/\"><\/a>\n\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/tttp-au.com\/\"><\/a>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5cb9871 elementor-widget elementor-widget-shortcode\" data-id=\"5cb9871\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"post-views content-post post-4641 entry-meta load-static\">\r\n\t\t\t\t<span class=\"post-views-icon dashicons dashicons-chart-bar\"><\/span> <span class=\"post-views-label\">Post Views:<\/span> <span class=\"post-views-count\">562<\/span>\r\n\t\t\t<\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability<\/p>\n","protected":false},"author":1,"featured_media":534,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4641","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Urban Traffic Management Using Artificial Intelligence:A Sustainable Approach to Enhancing Urban Mobility - TTTP Traffic and Transport Theory and Practice Journal<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tttp-au.com\/index.php\/2025\/08\/13\/urban-traffic-management-using-artificial-intelligencea-sustainable-approach-to-enhancing-urban-mobility\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Urban Traffic Management Using Artificial Intelligence:A Sustainable Approach to Enhancing Urban Mobility - TTTP Traffic and Transport Theory and Practice Journal\" \/>\n<meta property=\"og:description\" content=\"Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability\" \/>\n<meta property=\"og:url\" content=\"https:\/\/tttp-au.com\/index.php\/2025\/08\/13\/urban-traffic-management-using-artificial-intelligencea-sustainable-approach-to-enhancing-urban-mobility\/\" \/>\n<meta property=\"og:site_name\" content=\"TTTP Traffic and Transport Theory and Practice Journal\" \/>\n<meta property=\"article:published_time\" content=\"2025-08-13T10:14:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-08-13T11:33:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/tttp-au.com\/wp-content\/uploads\/2024\/03\/cover_issue_949_en_US.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"595\" \/>\n\t<meta property=\"og:image:height\" content=\"793\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/tttp-au.com\/index.php\/2025\/08\/13\/urban-traffic-management-using-artificial-intelligencea-sustainable-approach-to-enhancing-urban-mobility\/\",\"url\":\"https:\/\/tttp-au.com\/index.php\/2025\/08\/13\/urban-traffic-management-using-artificial-intelligencea-sustainable-approach-to-enhancing-urban-mobility\/\",\"name\":\"Urban Traffic Management Using Artificial Intelligence:A Sustainable Approach to Enhancing Urban Mobility - 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TTTP Traffic and Transport Theory and Practice Journal","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/tttp-au.com\/index.php\/2025\/08\/13\/urban-traffic-management-using-artificial-intelligencea-sustainable-approach-to-enhancing-urban-mobility\/","og_locale":"en_US","og_type":"article","og_title":"Urban Traffic Management Using Artificial Intelligence:A Sustainable Approach to Enhancing Urban Mobility - TTTP Traffic and Transport Theory and Practice Journal","og_description":"Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. The proposed approach can be implemented across various urban environments without requiring extensive infrastructure changes Keywords: Traffic management, AI, sustainability Vol. 10 No. 1 (2025): TTTP &#8211; APEIRON Zoran Injac, Sini\u0161a Arsi\u0107, Danislav Dra\u0161kovi\u0107, Milo\u0161 Arsi\u0107 Urban Traffic Management Using Artificial Intelligence: A Sustainable Approach to Enhancing Urban Mobility Original scientific paper DOI: 10.7251\/JTTTP2501030I Download Article PDF Abstract In modern cities, growing traffic volumes and limited infrastructure capacity lead to frequent congestion, increased emissions, and reduced quality of life. Traditional traffic management systems, based on fixed signal timings, often fail to adapt to real-time traffic dynamics. This paper presents how artificial intelligence (AI) can significantly enhance the efficiency and sustainability of urban traffic systems. By integrating data from sensors, cameras, and mobile devices with learning and forecasting algorithms, an intelligent system is developed to adjust traffic signals in real time. Simulation results show reduced waiting times, lower greenhouse gas emissions, and improved safety for all road users, including pedestrians and public transport. Special focus is placed on fairness and inclusive mobility, ensuring that technological advancement also addresses social equity. 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