Open Access Open Access  Restricted Access Subscription or Fee Access

Prediction of Traffic using Economic Attributes

Rohit Galani, Devang P. Majithiya

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.


Keywords


Traffic Predictions, Investment, Employment, Econometric Models, Transport Infrastructure.

Full Text:

PDF

References


Piyapong Jiwattanakulpaisarn, Robert B. Noland, Daniel J. Graham (2010), “Causal linkages between highways and sector-level employment”, 2010 Elsevier Ltd.

Conaway B. Haskins, (2002) “influence of highways on rural economics”

Shabana Thabassum (2013), “Impact of state-wise vehicle contribution on traffic growth rates for National Highways”, International Journal for Engineering Research and technology, 2013, Vol. 2 Issue 10.

Jim Yoo Kim, Jung Hoon Han (2015), “Straw effects of new highway construction on local population and employment growth”, Habitat International 53 (2016) 123-132.

Tassinopoulos, U. B. (2010). Forecasting Regional Employment with the Taylor & Francis Group, 112-124.

Hildebrand George and Arthur Mace, (1950), “the employment multiplier in an expanding industrial market: Los Angeles County”, Review of Economics and Statistics,241-249.

IRC-108-2015. Guidelines for Traffic Prediction on Rural Highways. New Delhi: Indian Road Congress.




DOI: https://doi.org/10.37591/ttea.v5i1.501

Refbacks