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An advanced multi-faceted statistical analysis of accident probability and severity exploiting high resolution traffic and weather data

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dc.contributor.author Theofilatos, Athanasios en
dc.contributor.author Θεοφιλάτος, Αθανάσιος el
dc.date.accessioned 2015-12-04T10:42:45Z
dc.date.available 2015-12-04T10:42:45Z
dc.date.issued 2015-12-04
dc.identifier.uri http://dspace.lib.ntua.gr/handle/123456789/41747
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/gr/ *
dc.subject Road safety en
dc.subject Accident probability el
dc.subject Accident severity el
dc.subject High resolution data el
dc.title An advanced multi-faceted statistical analysis of accident probability and severity exploiting high resolution traffic and weather data en
heal.type doctoralThesis
heal.secondaryTitle Πολυ-επίπεδη στατιστική ανάλυση της πιθανότητας και της σοβαρότητας ατυχήματος αξιοποιώντας κυκλοφοριακά και μετεωρολογικά δεδομένα υψηλής ευκρίνειας el
heal.classification Oδική Ασφάλεια el
heal.classification Κυκλοφοριακή Τεχνική el
heal.language el
heal.language en
heal.access free
heal.recordProvider ntua el
heal.publicationDate 2015-11-09
heal.abstract The objective of this PhD thesis is the investigation of accident probability and severity exploiting high resolution traffic and weather data from urban roads and motorways, collected on a real-time basis, with specific focus on Powered-Two-Wheelers. For that purpose, an advanced mesoscopic multi-faceted statistical analysis was conducted in order to expand previous road safety work and contribute to the further understanding the complex issues of accident probability and severity. Linear models as well as non-linear models were developed on the basis of 6-year accident data from urban roads as well as an urban motorway in Greater Athens area (Attica Tollway). Empirical findings indicate that high resolution traffic and weather data are capable of opening new dimensions in accident analysis in urban roads and urban motorways. The multi-faceted statistical analysis conducted in the thesis has revealed a consistent and strong influence of traffic parameters on accident probability and severity. It is interesting that weather parameters were not found to influence accident probability and severity when linear relationships are considered. Lastly, the application of cusp catastrophe models demonstrated that it is likely that even small traffic and weather changes may have a critical impact on road safety in urban roads as sudden transitions from safe to unsafe conditions (and vice versa) may occur. en
heal.sponsor ΕΛΚΕ el
heal.advisorName Γιαννής, Γιώργος en
heal.committeeMemberName Γκόλιας, Ιωάννης en
heal.committeeMemberName Κανελλαΐδης, Γεώργιος el
heal.committeeMemberName Βλαχογιάννη, Ελένη el
heal.committeeMemberName Αντωνίου, Κωνσταντίνος el
heal.committeeMemberName Παπαϊωάννου, Κωνσταντίνος el
heal.committeeMemberName Πιτσιαβά-Λατινοπούλου, Μάγδα el
heal.academicPublisher Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών. Τομέας Μεταφορών και Συγκοινωνιακής Υποδομής el
heal.academicPublisherID ntua
heal.numberOfPages 249 σ.
heal.fullTextAvailability true


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα