A Big Data Analytics Architecture for Urban Transportation System-a Case for Nairobi City

Abstract

Urbanization in Nairobi City has witnessed rapid growth over the last 10 years, with the current 2019 census indicating a city populace of about 4.4 million dwellers (KNBS, 2019). This has contributed to transportation challenges, due to constrained public transportation infrastructure. Despite of the additional road networks and provision of road bypasses in Nairobi city, the traffic jam has not reduced either. The objectives of this research are to find components necessary to establish architecture for Big Data Analytics for Urban Transportation System. The research findings wants to identify whether the big data analytics should be embraced in Nairobi city to enhance route mapping, navigation planning and point to point destination planning. The fact that Nairobi is a hub of major innovations like iHub, Ma3Route, C4D Lab is also advantageous to the researcher. There is also 4th and incoming 5th Generation Network (5G) and Home/Business Fibre link coupled to many Internets wireless access points. City travelers, find themselves in congested and jammed route due to lack of accurate and timely traffic insights of how the traffic is expected on certain routes to better plan and adjust accordingly. Policy Makers, Researchers, Systems Developers and Investors are also to benefit from the research findings.