ANNONCE DE SOUTENANCE DE THESE DE DOCTORAT
\nMadame Fereshteh ASGARI
\nINFORMATIQUE – T\u00e9l\u00e9com SudParis – Laboratoire SAMOVAR – Ecole doctorale EDITE<\/p>\n
Cette th\u00e8se a \u00e9t\u00e9 r\u00e9alis\u00e9e sous la direction du Professeur Monique BECKER.<\/p>\n
Elle aura lieu le 30 mars 2016 \u00e0 14h00 au B\u00e2timent 862 – Amphi 33 Centre d’int\u00e9gration Nano-INNOV, Avenue de la Vauve 91120 PALAISEAU<\/p>\n
Le jury sera compos\u00e9 de :<\/strong><\/p>\n R\u00e9sum\u00e9 :<\/strong><\/p>\n Dans cette th\u00e8se, nous avons \u00e9tudier une m\u00e9thode de classification et d\u2019\u00e9valuation des modalit\u00e9s de transport utilis\u00e9es par les porteurs de mobile durant leurs trajets quotidiens. Les informations de mobilit\u00e9 sont collect\u00e9es par un op\u00e9rateur au travers des logs du r\u00e9seau t\u00e9l\u00e9phonique mobile qui fournissent des informations sur les stations de base qui ont \u00e9t\u00e9 utilis\u00e9es par un mobile durant son trajet. Les signaux (appels\/SMS\/3G\/4G) \u00e9mis par les t\u00e9l\u00e9phones sont une source d\u2019information pertinente pour l\u2019analyse de la mobilit\u00e9 humaine, mais au-del\u00e0 de \u00e7a, ces donn\u00e9es repr\u00e9sentent surtout un moyen de caract\u00e9riser les habitudes et les comportements humains. Bien que l\u2019analyse des metadata permette d\u2019acqu\u00e9rir des informations spatio-temporelles \u00e0 une \u00e9chelle sans pr\u00e9c\u00e9dent, ces donn\u00e9es pr\u00e9sentent aussi de nombreuses probl\u00e9matiques \u00e0 traiter afin d\u2019en extraire une information pertinente.<\/p>\n Notre objectif dans cette th\u00e8se est de proposer une solution au probl\u00e8me de d\u00e9duire la trajectoire r\u00e9elle sur des r\u00e9seaux de transport \u00e0 partir d\u2019observations de position obtenues gr\u00e2ce \u00e0 l\u2019analyse de la signalisation sur les r\u00e9seaux cellulaires. Nous proposons \u00ab CT-Mapper\u00a0\u00bb pour projecter les donn\u00e9es de signalisation cellulaires recueillies aupr\u00e8s de smartphone sur le r\u00e9seau de transport multimodal. Notre algorithme utilise un mod\u00e8le de Markov cach\u00e9 et les propri\u00e9t\u00e9s topologiques des diff\u00e9rentes couches de transport. Ensuite, nous proposons \u00ab LCT-Mapper \u00bb un algorithme qui permet de d\u00e9duire le mode de transport utilis\u00e9.<\/p>\n Pour \u00e9valuer nos algorithmes, nous avons reconstruit les r\u00e9seaux de transport de Paris et de la r\u00e9gion (Ile-de-France). Puis nous avons collect\u00e9 un jeu de donn\u00e9es de trajectoires r\u00e9elles recueillies aupr\u00e8s d\u2019un groupe de volontaires pendant une p\u00e9riode de 1 mois. Les donn\u00e9es de signalisation cellulaire de l\u2019utilisateur ont \u00e9t\u00e9 fournies par un op\u00e9rateur fran\u00e7ais pour \u00e9valuer les performances de nos algorithmes \u00e0 l\u2019aide de donn\u00e9es GPS.<\/p>\n Pour conclure, nous avons montr\u00e9 dans ce travail qu\u2019il est possible d\u2019en d\u00e9duire la trajectoire multimodale des utilisateurs d\u2019une mani\u00e8re non supervis\u00e9e. Notre r\u00e9alisation permet d\u2019\u00e9tudier le comportement de mobilit\u00e9 multimodale de personnes et d\u2019explorer et de contr\u00f4ler le flux de la population sur le r\u00e9seau de transport multicouche.<\/p>\n Abstract :<\/strong><\/p>\n Around half of the world population is living in cities where different transportation networks are cooperating together to provide some efficient transportation facilities for individuals. To improve the performance of the multimodal transportation network it is crucial to monitor and analyze the multimodal trajectories, however obtaining the multimodal mobility data is not a trivial task. GPS data with fine accuracy, is extremely expensive to collect; Additionally, GPS is not available in tunnels and underground. Recently, thanks to telecommunication advancement cellular dataset such as Call Data Records (CDRs), is a great resource of mobility data, nevertheless, this kind of dataset is noisy and sparse in time. Our objective in this thesis is to propose a solution to this challenging issue of inferring real trajectory and transportation layer from wholly cellular observation. To achieve these objectives, we use Cellular signalization data which is more frequent than CDRs and despite their spatial inaccuracy, they provide a fair source of multimodal trajectory data. We propose ‘CT-Mapper\u2019 to map cellular signalization data collected from smart phones over the multimodal transportation network. Our proposed algorithm uses Hidden Markov Model property and topological properties of different transportation layers to model an unsupervised mapping algorithm which maps sparse cellular trajectories on multilayer transportation network. Later on, we propose \u2018LCT-Mapper\u2019 an algorithm to infer the main mode of trajectories. The area of study in this research work is Paris and region (Ile-de-France); we have modeled and built the multimodal transportation network database. To evaluate our proposed algorithm, we use real trajectories data sets collected from a group of volunteers for a period of 1 month. The user’s cellular signalization data was provided by a french operator to assess the performance of our proposed algorithms using GPS data as ground truth. An extensive set of evaluation has been performed to validate the proposed algorithms. To summarize, we have shown in this work that it is feasible to infer the multimodal trajectory of users in an unsupervised manner. Our achievement makes it possible to investigate the multimodal mobility behavior of people and explore and monitor the population flow over multilayer transportation network.<\/p>\n","protected":false},"excerpt":{"rendered":" ANNONCE DE SOUTENANCE DE THESE DE DOCTORAT Madame Fereshteh ASGARI INFORMATIQUE – T\u00e9l\u00e9com SudParis – Laboratoire SAMOVAR – Ecole doctorale EDITE Cette th\u00e8se a \u00e9t\u00e9 r\u00e9alis\u00e9e sous la direction du Professeur Monique BECKER. Elle aura lieu le 30 mars 2016 \u00e0 14h00 au B\u00e2timent 862 – Amphi 33 Centre d’int\u00e9gration Nano-INNOV, Avenue de la Vauve […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"on","ocean_gallery_id":[],"footnotes":""},"categories":[350],"tags":[],"class_list":["post-697","post","type-post","status-publish","format-standard","hentry","category-theses-2016-fr","entry"],"_links":{"self":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts\/697","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/comments?post=697"}],"version-history":[{"count":1,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts\/697\/revisions"}],"predecessor-version":[{"id":1695,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts\/697\/revisions\/1695"}],"wp:attachment":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/media?parent=697"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/categories?post=697"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/tags?post=697"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\n
\n CHEN Ken <\/td>\n Professor <\/td>\n Rapporteur<\/td>\n<\/tr>\n \n FIORE Marco<\/td>\n Professor<\/td>\n Rapporteur<\/td>\n<\/tr>\n \n DEBAR Herv\u00e9<\/td>\n Professeur<\/td>\n Examinateur<\/td>\n<\/tr>\n \n GAUDE Nicolas<\/td>\n Ingenieur<\/td>\n Examinateur<\/td>\n<\/tr>\n \n NUNEZ Miguel<\/td>\n Doctor<\/td>\n Examinateur<\/td>\n<\/tr>\n \n EL-YACOUBI Mounim<\/td>\n HDR<\/td>\n Co-Directeur<\/td>\n<\/tr>\n \n GAUTHIER Vincent<\/td>\n Associate Professor<\/td>\n Encadrant(e)<\/td>\n<\/tr>\n \n BECKER Monique<\/td>\n Professeur<\/td>\n Directrice de th\u00e8se<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n