Performance of Urban Corridor Using Speed Profile Data of Automobile

Authors

  • T. Vijay Kumar PG Student, Department of Construction Technology and Management, Dayananda Sagar College of Engineering, Bangalore, India
  • Drisya Manghat Research Scholar, Department of Civil Engineering, National Institute of Technology, Calicut, India
  • L. Geetha Assistant Professor, Department of Construction Technology and Management, Dayananda Sagar College of Engineering, Bangalore, India
  • Vivek R. Das Professor, Department of Construction Technology and Management, Dayananda Sagar College of Engineering, Bangalore, India

DOI:

https://doi.org/10.47607/ijresm.2020.324

Keywords:

Co-efficient of variation (CV), Level of service, Urban corridor

Abstract

The level of service on urban roads quality experienced by the drivers will be varying it is difficult to study the variations due to heterogeneous traffic flow conditions of Indian urban roads. As per TRB, 2010 macroscopic traffic flow parameters are found to be deficient in capturing the quality of service on urban roads experienced by users. Hence the objective of the study is to develop new methodology to evaluate the urban roads in heterogeneous traffic conditions considering the microscopic parameters of traffic flow in a four-lane divided urban corridor. The speed profile of the motorised two-wheelers both in free flow and peak flow were collected from the urban corridor of Bangalore Karnataka, India. Using GPS based mobile application. From the speed profile data, the speed variation characteristics were studied. The various speed indices considered in the study are VN (Velocity noise), CV (Co-efficient of variation), AN (Acceleration noise), and MVG (Mean Velocity Gradient). The CV is considered as the measure of effectiveness, higher the CV more will be the variation of quality experienced by the road users.

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Published

2020-10-08

How to Cite

[1]
T. V. . Kumar, D. . Manghat, L. . Geetha, and V. R. . Das, “Performance of Urban Corridor Using Speed Profile Data of Automobile”, International Journal of Research in Engineering, Science and Management, vol. 3, no. 10, pp. 1-8, Oct. 2020.

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Articles