Modelling and Forecasting Vehicle Registration System: An Arma Approach

Agunbiade, Dawud Adebayo; Peter, E.N.

doi:10.18052/www.scipress.com/BSMaSS.5.1

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Modelling and Forecasting Vehicle Registration System: An Arma Approach

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Abstract:

The role of transportation in the promotion of national unity and socio-economic integration in Nigeria cannot be overemphasized. Transport stimulates asense of oneness multi understanding in the cultural diversification of the mostpopulous nation in the sub Sahara of African Continent. it is therefore of interest tostudy using the Autoregressive Moving Average, the transportation system in Nigeriausing Lagos State (being the commercial centre) and also maintains a robust data basethrough the AUTOREG System as a case study by modeling and forecasting theVehicle registration system in terms of types and ownership. The result of theAutoregressive Moving Average (ARMA) approach indicated that there is tendencyfor an increase in the registration of Vehicles in the future. It is therefore suggested that to accommodate an increase in the number of Vehiclesregistration, a robust Vehicle database should be designed across the country forsecurity, research and adequate planning; and Nigerian government at all levels shouldstrive to provide adequate and reliable road network system to meet this emergingdevelopmental activities among others.

Info:

Periodical:

The Bulletin of Society for Mathematical Services and Standards (Volume 5)

Pages:

1-9

DOI:

https://doi.org/10.18052/www.scipress.com/BSMaSS.5.1

Citation:

D. A. Agunbiade and E.N. Peter, "Modelling and Forecasting Vehicle Registration System: An Arma Approach", The Bulletin of Society for Mathematical Services and Standards, Vol. 5, pp. 1-9, 2013

Online since:

March 2013

Authors:

Dawud Adebayo Agunbiade, E.N. Peter

Keywords:

ARMA Model, Stationary Time Series Process, Vehicle Ownership, Vehicle Registration, Vehicle Type

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Open Access

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Creative Commons Attribution 4.0 International License

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