{"id":1336,"date":"2026-09-17T12:37:20","date_gmt":"2026-09-17T12:37:20","guid":{"rendered":"https:\/\/ivory-network.eu\/?page_id=1336"},"modified":"2026-09-17T12:40:39","modified_gmt":"2026-09-17T12:40:39","slug":"dc08-research-journal","status":"publish","type":"page","link":"https:\/\/ivory-network.eu\/index.php\/dc08-research-journal\/","title":{"rendered":"DC08 Research Journal"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_code 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55%,#7fadd1)}.ip-news-text{padding:13px}.ip-news h3{font-size:16px;margin:0 0 6px}.ip-news p{font-size:12px;color:#657b9f;line-height:1.4}.ip-news small{font-size:11px;color:#8a9cbc}@media(max-width:800px){.ip-grid{grid-template-columns:1fr}.ip-sidebar{display:grid;grid-template-columns:1fr 1fr;gap:16px}.ip-photo{height:auto}.ip-hero{padding-right:0}.ip-slogan{display:none}.ip-two{grid-template-columns:1fr}.ip-affiliations{flex-wrap:wrap;gap:12px}.ivory-profile h1{font-size:26px}}@media(max-width:480px){.ip-sidebar{display:block}}<!-- [et_pb_line_break_holder] -->.ip-glance p,.ip-two > .ip-panel p,.ip-two > .ip-panel li{text-align:justify;}<!-- [et_pb_line_break_holder] -->.ip-heading-icon{width:38px;height:28px;color:#9656ff;margin-right:10px;display:inline-block;flex:0 0 28px}.ip-section-title h2{display:flex;align-items:center;line-height:.3}.ip-link:hover{text-decoration:underline}<!-- [et_pb_line_break_holder] -->.ip-partner{display:flex;align-items:center;justify-content:flex-start;gap:8px;min-height:32px}.ip-partner span{line-height:24px;white-space:nowrap}.ip-partner img{width:54px;height:26px;object-fit:contain;display:block;flex:0 0 54px}.ip-affiliations{gap:16px;flex-wrap:wrap}.ip-affiliations>div{padding-right:16px}<!-- [et_pb_line_break_holder] -->.ivory-profile .ip-hero h1{text-align:justify;text-align-last:left}<!-- [et_pb_line_break_holder] --><\/style>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"ivory-profile\">\n<div class=\"ip-crumb\">Home \u203a Our People \u203a Doctoral Candidates \u203a DC8 \u2013 J\u00falia Alves Porto<\/div>\n<div class=\"ip-grid\">\n<aside class=\"ip-sidebar\"><img decoding=\"async\" class=\"ip-photo\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2024\/09\/DC8-Julia-Alves-Porto-logo.png\" alt=\"J\u00falia Alves Porto\"><\/p>\n<div class=\"ip-panel\">\n<h3><img decoding=\"async\" class=\"ip-icon-img\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2026\/09\/education-icon.png\" alt=\"\">Education<\/h3>\n<pee>MSc in Transportation<!\u2013- [et_pb_br_holder] -\u2013>University of Bras\u00edlia<\/pee><pee>BSc in Civil Engineering<!\u2013- [et_pb_br_holder] -\u2013>University of Bras\u00edlia<\/pee>\n<hr>\n<h3><img decoding=\"async\" class=\"ip-icon-img\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2026\/09\/links-icon.png\" alt=\"\">Links<\/h3>\n<p><a class=\"ip-link\" href=\"https:\/\/www.linkedin.com\/in\/j%C3%BAlia-porto-61458b95\/\" target=\"_blank\" rel=\"noopener noreferrer\">LinkedIn <span aria-hidden=\"true\">\u2197<\/span><\/a><a class=\"ip-link\" href=\"https:\/\/orcid.org\/0009-0001-9230-150X\" target=\"_blank\" rel=\"noopener noreferrer\">ORCID <span aria-hidden=\"true\">\u2197<\/span><\/a><a class=\"ip-link\" href=\"http:\/\/lattes.cnpq.br\/1130423982651027\" target=\"_blank\" rel=\"noopener noreferrer\">Lattes <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div>\n<\/aside>\n<p><main><\/p>\n<div class=\"ip-hero\"><span class=\"ip-tag\">DC8<\/span><\/p>\n<h1>Proactive risk assessment and infrastructure safety management<\/h1>\n<div class=\"ip-name\">J\u00falia Alves Porto<\/div>\n<div class=\"ip-slogan\">Safer mobility<!\u2013- [et_pb_br_holder] -\u2013>for a brighter<!\u2013- [et_pb_br_holder] -\u2013>tomorrow<\/div>\n<\/div>\n<div class=\"ip-affiliations\">\n<div class=\"ip-partner\"><img decoding=\"async\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2023\/11\/ntua-logo-2.png\" alt=\"National Technical University of Athens logo\"><\/div>\n<div class=\"ip-partner\"><img decoding=\"async\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2023\/11\/iRAP-logo-TRAN.png\" alt=\"iRAP logo\"><\/div>\n<div>\u2667 \u00a0 Work Package 6<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">AI for Proactive Infrastructure Safety Management<\/span><\/div>\n<\/div>\n<section class=\"ip-panel ip-glance\">\n<h2><span class=\"ip-icon ip-teal\">\u25ce<\/span>Research at a glance<\/h2>\n<pee>Over the past two years, I have developed expertise in training and applying AI-based models, particularly Computer Vision (CV) ones, alongside geospatial tools within a road safety pipeline. Certain attributes, such as pavement defects, benefit from well-developed automated extraction methods, yet remain underutilized in predictive transportation research. Infrastructure and environmental attributes have rarely been linked to Surrogate Measures of Safety. Our findings indicate that those attributes contribute modestly to harsh-event prediction relative to traffic and behavioral metrics, though they offer valuable supplementary insight. Additionally, automated labeling does not outperform manual labeling in predictive power, but it can reveal overlooked interactions among attributes.<\/pee><pee>In the following months, we aim to leverage CV models to extract attributes from open-source image databases and construct a complexity index. This index will be modeled against HE at intersections in central areas of Greece, with the goal of identifying which attributes most significantly affect driving smoothness.<\/pee><\/section>\n<section class=\"ip-panel ip-objectives\">\n<h2><svg class=\"ip-target-icon\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><circle cx=\"12\" cy=\"12\" r=\"5.5\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg>Research objectives<\/h2>\n<ul>\n<li>Create an AI framework to process, harmonise, analyse and model an array of different available datasets and provide outputs in the form of risk mapping and network-level evaluations.<\/li>\n<li>Develop new AI algorithms for road attribute collection, along with methodologies to assess and quantify their accuracies, suitable for network applications and including hybrid, e.g., manually collected data.<\/li>\n<li>Use the AI-augmented dataset creation effort for a suitable working methodology for the generation of hybrid road attribute data and enhanced proactive risk mapping.<\/li>\n<li>Model the relationship between infrastructure and environment attributes with single-vehicle surrogate measures of safety, i.e., harsh events.<\/li>\n<\/ul>\n<\/section>\n<section class=\"ip-section\">\n<div class=\"ip-section-title\">\n<h2><svg class=\"ip-heading-icon\" aria-hidden=\"true\" viewBox=\"0 0 32 32\" fill=\"currentColor\"><circle cx=\"18\" cy=\"6\" r=\"5\"\/><path d=\"M9 17v-2c0-5 18-5 18 0v2zM3 19h28v4H3zM10 24h15l-2 8H12z\"\/><path d=\"M5 19v-6l3-4\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"\/><circle cx=\"8\" cy=\"9\" r=\"2.5\"\/><\/svg>Conference contributions<\/h2>\n<\/div>\n<div class=\"ip-table-wrap\">\n<table>\n<thead>\n<tr>\n<th>Title<\/th>\n<th>Conference<\/th>\n<th>Date<\/th>\n<th>Link<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Training a YOLO-based model for speed limit sign recognition<\/td>\n<td>International Symposium Navigating the Future of Traffic Management<\/td>\n<td>\u2013<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/www.nrso.ntua.gr\/geyannis\/pub\/pc578-training-a-yolo-based-model-for-speed-limit-sign-recognition\/\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Conference paper link\">\u2197<\/a><\/td>\n<\/tr>\n<tr>\n<td>Road segmentation made simple: A practical comparison of segmentation models and post-processing techniques<\/td>\n<td>12th International Congress on Transportation Research (ICTR)<\/td>\n<td>\u2013<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/www.nrso.ntua.gr\/geyannis\/pub\/pc603-road-segmentation-made-simple-a-practical-comparison-of-segmentation-models-and-post-processing-techniques\/\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Conference paper link\">\u2197<\/a><\/td>\n<\/tr>\n<tr>\n<td>Lane Segmentation from Street-Level Imagery via Noisy Label Generation and Contrastive Self-Supervision<\/td>\n<td>Transportation Research Arena (TRA)<\/td>\n<td>\u2013<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/www.nrso.ntua.gr\/geyannis\/pub\/pc667-lane-segmentation-from-street-level-imagery-via-noisy-label-generation-and-contrastive-self-supervision\/\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Conference paper link\">\u2197<\/a><\/td>\n<\/tr>\n<tr>\n<td>Conflict detection and analysis in urban arterial roads of Bras\u00edlia, Federal District of Brazil, using HD-CCTV monitoring cameras and the YOLO model<\/td>\n<td>Road Safety and Simulation (RSS)<\/td>\n<td>\u2013<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/www.nrso.ntua.gr\/geyannis\/pub\/pc682-conflict-detection-and-analysis-in-urban-arterial-roads-of-brasilia-brazil-using-hd-cctv-monitoring-cameras-and-the-yolo-model\/\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Conference paper link\">\u2197<\/a><\/td>\n<\/tr>\n<tr>\n<td>Are telematics-based hazard levels associated with street-level visual features? A case study of motorway intersections<\/td>\n<td>Road Safety and Simulation (RSS)<\/td>\n<td>\u2013<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/www.nrso.ntua.gr\/geyannis\/pub\/pc681-are-telematics-based-harsh-occurrences-associated-with-street-level-visual-features-a-case-study-of-motorway-intersections\/\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Conference paper link\">\u2197<\/a><\/td>\n<\/tr>\n<tr>\n<td>Weak supervision and fine-tuning with contrastive learning for multiclass lane marking segmentation<\/td>\n<td>World Conference of Transport Research (WCTR 2026)<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Toulouse, France<\/span><\/td>\n<td>2026<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/www.nrso.ntua.gr\/geyannis\/pub\/pc694-weak-supervision-and-fine-tuning-with-contrastive-learning-for-multiclass-lane-marking-segmentation\/\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Conference paper link\">\u2197<\/a><\/td>\n<\/tr>\n<tr>\n<td>Comparison of manual and automated infrastructure label extraction for harsh event prediction<\/td>\n<td>European Transport Conference (ETC)<\/td>\n<td>\u2013<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<section class=\"ip-section\">\n<div class=\"ip-section-title\">\n<h2><span class=\"ip-icon\">\u2708<\/span>Secondments &#038; collaborations<\/h2>\n<\/div>\n<div class=\"ip-table-wrap\">\n<table>\n<thead>\n<tr>\n<th>Host organisation<\/th>\n<th>Period<\/th>\n<th>Purpose<\/th>\n<th>Status<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>OSeven<\/td>\n<td>Jan \u2013 Sep 2026<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<td><span class=\"ip-pill\">Ongoing<\/span><\/td>\n<\/tr>\n<tr>\n<td>Fred Engineering<\/td>\n<td>Feb \u2013 May 2027<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<td><span class=\"ip-pill ip-purple\">Upcoming<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<p><\/main><\/div>\n<\/div>\n<p>[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-1336","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - 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