Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/11002
Τίτλος: | Mining traffic data for the development of an accident warning application for tourists |
Συγγραφείς: | Gregoriades, Andreas Christodoulides, Andreas Michael, Harris |
Major Field of Science: | Engineering and Technology |
Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering |
Λέξεις-κλειδιά: | Accident prediction;Association rules;Self-organizing maps;Tourist safety |
Ημερομηνία Έκδοσης: | 2018 |
Πηγή: | AHFE 2017 International Conference on Safety Management and Human Factors, 2017, Los Angeles, United States, 17-21 July |
Περίληψη: | Tourist drivers belong to a category of drivers that are more vulnerable to road accidents due to their unfamiliarity of the road network at a destination. This paper presents a method followed to develop a tool that alert tourist drivers of their accident risks based on situational factors obtained from mobile phone sensors and knowledge distilled from historical records of traffic accidents. The knowledge necessary for the development of a context aware mobile accident warning application was extracted from a spatiotemporal analysis of historical accidents data, to identify patterns of conditions that lead to accidents. Results from this analysis were used to develop heuristics rules that were programmed in a mobile application. The developed system warns travelers of possible threats on the road network of Nicosia, given driver’s location and situational factors. The system aims to improve tourists’ safety. |
URI: | https://hdl.handle.net/20.500.14279/11002 |
DOI: | 10.1007/978-3-319-60525-8_60 |
Rights: | © Springer International Publishing AG 2018. |
Type: | Conference Papers |
Affiliation: | Cyprus University of Technology European University Cyprus |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
Sorry the service is unavailable at the moment. Please try again later.
Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα