{"id":1321,"date":"2026-09-17T12:16:56","date_gmt":"2026-09-17T12:16:56","guid":{"rendered":"https:\/\/ivory-network.eu\/?page_id=1321"},"modified":"2026-09-17T12:20:50","modified_gmt":"2026-09-17T12:20:50","slug":"dc09-research-journal","status":"publish","type":"page","link":"https:\/\/ivory-network.eu\/index.php\/dc09-research-journal\/","title":{"rendered":"DC09.  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-->.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 DC9 \u2013 Simone Paradiso<\/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\/DC9-Simone-Paradiso-2-logo.png\" alt=\"Simone Paradiso\"><\/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>M.Eng in Management Engineering<!\u2013- [et_pb_br_holder] -\u2013>University of Naples Federico II<\/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:\/\/linktr.ee\/simone_paradiso\" target=\"_blank\" rel=\"noopener noreferrer\">Linktree <span aria-hidden=\"true\">\u2197<\/span><\/a><a class=\"ip-link\" href=\"https:\/\/www.linkedin.com\/in\/simone-paradiso-2271421a9\/\" target=\"_blank\" rel=\"noopener noreferrer\">LinkedIn <span aria-hidden=\"true\">\u2197<\/span><\/a><a class=\"ip-link\" href=\"https:\/\/scholar.google.com\/citations?user=QvFkGrwAAAAJ&amp;hl=it&amp;oi=ao\" target=\"_blank\" rel=\"noopener noreferrer\">Google Scholar <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div>\n<\/aside>\n<p><main><\/p>\n<div class=\"ip-hero\"><span class=\"ip-tag\">DC9<\/span><\/p>\n<h1>AI for road safety monitoring and crash prediction from micro- to macro levels<\/h1>\n<div class=\"ip-name\">Simone Paradiso<\/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\/O7_HOR_RGB_NO-SLOGAN_ON-WHITE.png\" alt=\"OSeven 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>This research aims to move road safety analysis from reactive, crash-based approaches toward proactive, AI-driven monitoring. It investigates how in-vehicle telematics data can be aggregated onto road network nodes and edges for spatial analysis, and how sophisticated AI tools may be trained in a self-supervised way, without needing a target label, so that the network can learn purely from telematics and infrastructure data, without relying on crash data at all.<\/pee><pee>The work explores how the outputs of these AI tools can be used to partition the road network into areas with distinct patterns, and how a multiscale mechanism can be built into the model so that spatial relationships are learned by taking spatial proximity into account, allowing the framework to move beyond a single scale of analysis.<\/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>Develop a robust methodology for aggregating in-vehicle telematics data onto road network nodes and edges.<\/li>\n<li>Train deep learning models in a self-supervised manner, without crash data or target labels, to generate spatial representations of the road network from telematics and infrastructure data alone.<\/li>\n<li>Use these AI-derived representations to partition the road network into areas with distinct driving-behavior patterns, extending the approach from nodes to edges.<\/li>\n<li>Incorporate a multiscale mechanism into the model so that spatial relationships are learned by accounting for spatial proximity, rather than assuming a single fixed scale.<\/li>\n<li>Validate the resulting partitions to assess how well this proactive, crash-data-free framework aligns with observed road safety outcomes.<\/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=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M5 8H2v22h22v-3M9 2h15l6 6v18H9zM23 2v7h7M13 13h13M13 18h13M13 22h8\"\/><\/svg>Publications<\/h2>\n<\/div>\n<div class=\"ip-table-wrap\">\n<table>\n<thead>\n<tr>\n<th>Title<\/th>\n<th>Authors<\/th>\n<th>Venue<\/th>\n<th>Year<\/th>\n<th>Link<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review<\/td>\n<td>Paradiso, S., Ziakopoulos, A., Yannis, G.<\/td>\n<td>Journal of Safety Research<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Vol. 97, pp. 737\u2013761<\/span><\/td>\n<td>2026<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/doi.org\/10.1016\/j.jsr.2026.05.014\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Publication link\">\u2197<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\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>Combining diverse data sources for intersection crash analyses based on incomplete records<\/td>\n<td>Navigating the Future of Traffic Management (IRF &amp; ICCS)<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Athens, Greece<\/span><\/td>\n<td>Jun\u2013Jul 2025<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>Aggregating Telematics for Road Safety Analysis<\/td>\n<td>12th International Congress on Transportation Research (ICTR) 2025<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Thessaloniki, Greece<\/span><\/td>\n<td>Oct 2025<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>The use of Graph Neural Networks for Clustering in Road Safety Analysis<\/td>\n<td>13th Symposium of the European Association for Research in Transportation (hEART2025)<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Munich, Germany<\/span><\/td>\n<td>Jun 2025<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>Hierarchical Clustering on Graph Embeddings: A Scalable Approach to Risky Intersections<\/td>\n<td>Road Safety on Five Continents (RS5C)<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Leeds, UK<\/span><\/td>\n<td>Sep 2025<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>Probabilistic Modeling for Node-Based Partitioning of Telematics-Informed Road Networks<\/td>\n<td>8th IRTAD International Conference<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Athens, Greece<\/span><\/td>\n<td>2026<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>A Dual Graph Framework for Edge Embedding and Clustering in Road Safety Analysis<\/td>\n<td>Transport Research Arena (TRA) 2026<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Budapest, Hungary<\/span><\/td>\n<td>May 2026<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>A Graph Transformer Approach for Modeling Crash Occurrence at Intersections Using Telematics-Informed Road Networks<\/td>\n<td>Road Safety and Simulation 2026 (RSS2026)<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Napoli, Italy<\/span><\/td>\n<td>Jun 2026<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>A Time-Window GNN-Based Network Partition for Identifying High- and Low-Risk Nodes in Road Networks<\/td>\n<td>World Conference on Transport Research (WCTR2026)<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Toulouse, France<\/span><\/td>\n<td>Jul 2026<\/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 &amp; 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>Verne<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Zagreb, Croatia<\/span><\/td>\n<td>Dec 2025 \u2013 Mar 2026<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<td><span class=\"ip-pill ip-blue\">Completed<\/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-1321","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"Home \u203a Our People \u203a Doctoral Candidates \u203a DC9 \u2013 Simone ParadisoUniversity of Naples Federico II for a brightertomorrowAI for Proactive Infrastructure Safety Management\u25ceResearch at a glanceThis research aims to move road safety analysis from reactive, crash-based approaches toward proactive, AI-driven monitoring. 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