Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/76767
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dc.date.accessioned2021-06-02T14:30:13Z-
dc.date.available2021-06-02T14:30:13Z-
dc.date.issued2020-
dc.identifier.citationBuhagiar, M. (2020). Reducing risk in road network traversal using past road accident data (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/76767-
dc.descriptionB.Sc. IT (Hons)(Melit.)en_GB
dc.description.abstractRoad Accidents are a global problem which has been on the rise over the past years. With the cycle of urbanization around the world, traffic injuries have risen exponentially in recent decades, causing significant losses of life and property [1]. Thus, this project aims to find ways with which Malta's reported road accident data could be employed to uncover patterns and diminish the risk on the road. Data from police and warden's accident reports was cleaned, processed and investigated to create a picture of the risky and hazardous roads in Malta with the use of an interactive map. This research focuses on identifying patterns of road collisions that may lead to an increased risk on the road. It was discovered that those roads that undergo the most traffic congestion have a higher probability of collisions without injury rather than accidents with injuries. Additionally, it was also evident that those roads that have a low number of collisions can still be considered as dangerous roads. Indeed, results showed that Gozo’s roads are more dangerous in terms of injury loss and cost when compared with Malta. This suggests that one of the leading causes of injury is speeding due to lack of traffic.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectTraffic accidents -- Maltaen_GB
dc.subjectInformation storage and retrieval systems -- Traffic accidentsen_GB
dc.subjectMathematical statistics -- Data processingen_GB
dc.titleReducing risk in road network traversal using past road accident dataen_GB
dc.typebachelorThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Information and Communication Technology. Department of Computer Information Systemsen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorBuhagiar, Miriana (2020)-
Appears in Collections:Dissertations - FacICT - 2020
Dissertations - FacICTCIS - 2020

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