DETERMINATION OF PCU AND TRAFFIC SIGNAL DESIGNTHROUGH MULTIPLE LINEAR REGRESSION MODEL

Authors

  • D.Asok Kumar Postgraduate Student, Civil (Transportation) Engineering, GMR Institute of Technology, Rajam, India
  • K.Gopi Shankar Assistant Professor, Department of Civil Engineering, GMR Institute of Technology, Rajam, India,

Keywords:

Signalized intersection, PCU values, traffic signal phase time design, Webster’s method, Multiple linear regression

Abstract

Economic growth of a developing city directly depends on the road infrastructure. Intersections are the nodal points in cities road infrastructure.Signalizing these road intersections can improve traffic handling capacity and safety of road users. Following is a case study was taken up in Srikakulam, Andhra Pradesh,India. Traffic data is collected from signalized intersections and analyzed to determine Passenger Car Unit (PCU) values of two wheelers, three wheelers, cars and buses. An attempt is made with the help of a case study to simplify the Webster’s model of traffic signal designing into a multiple linearregression equation, and a non-signalized intersection in Srikakulam city is signalized with the help of this multiple linear regression equation.That intersections performance is analyzed with the help of a traffic simulation software named Tsignals.

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Published

2018-08-22

How to Cite

Kumar, D. ., & Shankar, K. . (2018). DETERMINATION OF PCU AND TRAFFIC SIGNAL DESIGNTHROUGH MULTIPLE LINEAR REGRESSION MODEL. International Journal of Technical Innovation in Modern Engineering & Science, 4(8), 543–548. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/878

Issue

Vol. 4 No. 8 (2018): Vol. 4 No. 8: Volume 4 Issue 8 (August-2018)

Section

Articles