Prediction of Traffic using Economic Attributes
DOI:
https://doi.org/10.37591/ttea.v5i1.501Keywords:
Traffic Predictions, Investment, Employment, Econometric Models, Transport Infrastructure.Abstract
Abstract
Increase in traffic flow in a region reflects the development of transport infrastructure. Transport infrastructure development arises due to new investment in the region as it is a significant factor for assessing the social and economic viability of any highway project. Impact of economics on traffic is difficult to analyze traffic flow projection. To comprehend the objective, economic attributes such as investment and employment generated in the region are considered for the traffic growth and also, IRC-108 specified econometric model was developed using net state domestic product (NSDP). A regression analysis was developed for predicting traffic with economic attributes stated above and found to be linear. Precision of model was gauged, based on mean absolute percentage error (MAPE) rather only considering the coefficient of determination.
Keywords: Traffic predictions, investment, employment, econometric models, transport infrastructure
Cite this Article
Rohit Galani, Majithiya Devang P. Prediction of Traffic using Economic Attributes. Trends in Transport Engineering and Applications. 2018; 5(1): 32–36p.
References
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IRC-108-2015. Guidelines for Traffic Prediction on Rural Highways. New Delhi: Indian Road Congress.
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