Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/76351
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTan, Chong Wei-
dc.date.accessioned2018-12-20T01:45:54Z-
dc.date.available2018-12-20T01:45:54Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/10356/76351-
dc.description.abstractThis project aims at studying the impact of rainfall on the overall traffic flow. We are particularly interested to analyse the correlation between occurrence of traffic incidents with the occurrence of rain. Moreover, we examine if there is a differing impact on the frequency of traffic incidents before, during, or after rain. For comparison, the frequency of traffic incidents is also computed for dry periods (without any rainfall). The data acquired from LTA and NEA from August 2016 to January 2017 is used to determine the correlation of incidents, traffic speed and traffic volume with the rainfall. Overall, the results obtained support the hypothesis that the frequency of traffic incidents is higher in rain and after rain weather conditions, as compared to dry periods. Furthermore, it is observed that the traffic speed decreases during rainy weather condition as compared to dry weather conditions.en_US
dc.format.extent93 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleData-driven analysis of the correlation between traffic accidents and rainfallen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorJustin Dauwelsen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FYP_Report_TCW20.docx.pdf
  Restricted Access
Main article3.21 MBAdobe PDFView/Open

Page view(s)

344
Updated on Apr 12, 2024

Download(s) 50

27
Updated on Apr 12, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.