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

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dc.contributor.author Boohene, Kwabena Gyang
dc.date.accessioned 2019-01-22T09:52:48Z
dc.date.available 2019-01-22T09:52:48Z
dc.date.issued 2017-04
dc.identifier.uri http://hdl.handle.net/20.500.11988/399
dc.description Applied project submitted to the Department of Computer Science, Ashesi University College, in partial fulfillment of Bachelor of Science degree in Management Information Systems, April 2017 en_US
dc.description.abstract In 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.sponsorship Ashesi University College en_US
dc.language.iso en_US en_US
dc.subject developing countries en_US
dc.subject mobile application en_US
dc.subject Android en_US
dc.subject road quality data en_US
dc.title Automated collection and visualization of road quality data to aid driver navigation en_US
dc.type Applied project en_US


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