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Assignment Task

Task

Smart City has been one of the key focus areas for advancements for the past decade. Driven by the advancement of cellular communication technologies, smart city now covers a wide range of application with utilization of seamless wired and wireless network connections and interne of things. According to Malaysian Communication and Multimedia Commission (MCMC), currently there are many smart cities around the world and is expected to increase up to 88 by 2025. There are several Smart City initiatives in Malaysia to promote smart city planning, construction, management, and services with utilization of Internet of Things, cloud computing, big data, and spatial geographic information integration. One of the key focus areas is public transport. According to a study done by Brohi and colleagues in 2018, few of the main issues that Malaysians lack of interest in public transport is due to the limitation of infrastructure, quality of service, cost and comfort and safety.

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Refers to a section of book chapter that discusses some of the data that possible to be used in such situation. Ref 2 refers to an article that also discusses potential traffic data. Use these as your reference for types of data that can be used. As a part of a consultancy firm that working on bidding the funding opportunities in smart city initiatives, based on the given situation above, your consultancy firm is focusing to deliver the following objectives:

a) To intelligently identify the potential customers and their preference in using public transport.

b) To improve the quality of service of transportation.


DELIVERABLES:

Discuss and propose conceptual solution how this can be achieved, including what kind of data that potentially can be used, how machine learning especially unsupervised learning can be used in this case. Your answer should cover the end-to-end process of your solution with proper justifications and support. You may provide additional illustrations / diagrams / flow charts to support your answer.


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