REDUCING ROAD CARNAGE USING A WEB BASED MODEL FOR MONITORING ROAD TRAFFIC CRIME
dc.contributor.author | MAKUPI, DANIEL | |
dc.date.accessioned | 2020-01-15T13:03:43Z | |
dc.date.available | 2020-01-15T13:03:43Z | |
dc.date.issued | 2016-11 | |
dc.identifier.uri | http://10.1.130.140:8080/xmlui/handle/123456789/176 | |
dc.description | FULL TEXT | en_US |
dc.description.abstract | Road traffic accidents have been a major cause of deaths in Kenya. The effort by Kenya police to enforce traffic laws has done little to salvage the situation. Although there has been other remedies towards curbing road accidents such as; improvements in vehicle design and licensing to skill the situation calls for further solution particularly targeting driver behavior since careless driving has been identified as a major cause of road accidents. The research provides a solution by designing and implementing a model that monitors traffic crimes committed by drivers on Kenyan roads by cumulatively computing the Driver Road Safety Index (DRSI) which serves as an indicator of identifying careless drivers and therefore withdraw them from the road by dispossessing them of the driving license. The model is implemented using a web based prototype. The study adopted scientific and design research approaches. Scientific approach was used to gather relevant data through focus groups required for coming up with relevant weights for different crimes .The engineering design approach was used to implement the model. | en_US |
dc.language.iso | en | en_US |
dc.publisher | KABARAK UNIVERSITY | en_US |
dc.subject | Model, Web-based application, Roads | en_US |
dc.title | REDUCING ROAD CARNAGE USING A WEB BASED MODEL FOR MONITORING ROAD TRAFFIC CRIME | en_US |
dc.type | Thesis | en_US |