Automated collection and visualization of road quality data to aid driver navigation

dc.contributor.authorBoohene, Kwabena Gyang
dc.descriptionApplied project submitted to the Department of Computer Science, Ashesi University College, in partial fulfillment of Bachelor of Science degree in Management Information Systems, April 2017en_US
dc.description.abstractIn nations worldwide, roads play a major part in the livelihood of individuals. They aid in the transport of both people and goods from one location to another. In developed countries, most roads are tarred making travel easier and quicker. In developing countries, this is not the case. Quite an amount of road work and development is still needed in these regions. These roads normally have different grades of road quality and have different effects on the individuals that use them. With the introduction of mapping applications such as Google Maps, individuals can place information about various locations on a mapping interface. In this project, an application is built to allow individuals collect data about the quality of roads around them. This data will be viewed on a map interface. With such data, drivers would be able to choose they type of roads they would want use.en_US
dc.description.sponsorshipAshesi University Collegeen_US
dc.subjectdeveloping countriesen_US
dc.subjectmobile applicationen_US
dc.subjectroad quality dataen_US
dc.titleAutomated collection and visualization of road quality data to aid driver navigationen_US
dc.typeApplied projecten_US
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