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

Theofilatos, Athanasios; Θεοφιλάτος, Αθανάσιος

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	https://dspace.lib.ntua.gr/xmlui/handle/123456789/41747
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.1973
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