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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Indexing

Abstract

SMART DRIVING COMPETENCY ASSESSMENT APP USING ANDROID PHONE

Workineh Geleta Negasa*, Ravindra Babu B. and Berhanu Endesha Bekele

ABSTRACT

Beginner drivers are at greatest crash risk. Drivers training is one of the interventions aimed at mitigating the number of crashes that involve young drivers. The failure to understand what is really important for learners, in terms of higher level competent driving, is one of the many reasons constraining the building of better training programs. It is not possible for trainers and driving mentors to simultaneously assess drivers? actions accurately, cognitive skill and vehicle control, relative to environmental circumstances. Driver?s driving abilities also play a vital role in judging the road environment and reacting in time to avoid any possible collision. This research is to design and develop a mobile application and a web portal that would assist technicians and drivers assessor in decision making through access of relevant information in relation to Road Transport Authority criteria for drivers? performance assessment and admission requirements. In addition to that, a web portal is also incorporated into the system to ease information access and decision making from administrator. Moreover, it aims to collate and avail such information on a platform accessible to the assessor, as well as other authorized parties, via mobile phones and web platforms. The service can parse out the incoming data, validate the data, and store that data in a database for retrieval and reporting purposes. The interaction between the driver?s examiner or assessor smart phone and the web service will be implemented via Wi-Fi or 3G/GSM networks. The network connection is automatically selected depending on the availability of such technology, which is directly related with the examiner?s location.

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