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A Survey on Big Data Analytics Architecture for Urban Transportation System: A Case for Nairobi Metropolitan
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 16 |
| Year of Publication: 2020 |
| Authors: Justin Muchiri Njeru, Elisha Odira Abade |
10.5120/ijca2020920665
|
Justin Muchiri Njeru, Elisha Odira Abade . A Survey on Big Data Analytics Architecture for Urban Transportation System: A Case for Nairobi Metropolitan. International Journal of Computer Applications. 175, 16 ( Sep 2020), 36-42. DOI=10.5120/ijca2020920665
Abstract
In the recent past, studies in the Intelligent Transportation Systems are on high gear to bring a solution to urban traffic systems caused by high rate of urbanization in most cities. Urbanization in Nairobi City has witnessed rapid growth over the last 10 years. Researchers have found that expansion of road networks does not solve the traffic situations. There is great loss of productivity for commuters who have to spend long hours in traffic. This research found that traffic information on updates, congestion and incidents is shared in various formats in various channels including radio, google maps and social media platforms. This information is big data and therefore need to establish architecture to analysis and provide reports for road users.
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