Multimodal Complex Road Network and Its Traffic Organization using GIS

Authors

  • K. Santhosh Kumaar Department of Civil Engineering, Kongu Engineering College, Erode, Tamil Nadu, India.
  • N. Muralimohan Department of Civil Engineering, KSR College of Engineering, Tiruchengode, Tamil Nadu, 637215, India.
  • M. Paranthaman Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, India.
  • V. Tamilselvan Department of Civil Engineering, Kongu Engineering College, Erode, Tamil Nadu, India.
  • M. Udhayaprakash Department of Civil Engineering, Kongu Engineering College, Erode, Tamil Nadu, India.
  • K. Arun Kumar Department of Civil Engineering, Kongu Engineering College, Erode, Tamil Nadu, India.

DOI:

https://doi.org/10.9734/bpi/tier/v2/2384B

Keywords:

Hotspot analysis, traffic flow, traffic characteristics, traffic management, road infrastructure

Abstract

Traffic engineering is the branch of engineering that deals with the planning, geometric design, and networks of these elements, as well as their connections to other forms of transportation, in order to enable safe and convenient movement of people and commodities. The safe and efficient movement of people and products is determined by traffic flow, whichis in turn determined by traffic characteristics. The current road infrastructure will not be able to meet future needs without adequate planning and traffic management. The present traffic studies are being carried out in Salem. Several blackspots have been detected with data and mapped using GIS, according to MORTH (Ministry Of Road Transport and Highway). Because it is a popular tool for the display and hotspot analysis of accident data. GIS technology is widely employed in transportation. Existing road networks must be optimised, and road safety measures must been enhanced, and GIS can be a significant tool in reducing the risk of road accidents. Users using GIS mapping may be able to avoid unwanted traffic and accidents. The study makes a significant contribution to a clear picture of traffic volume at key intersections and its importance.

Published

2022-05-16

How to Cite

K. Santhosh Kumaar, N. Muralimohan, M. Paranthaman, V. Tamilselvan, M. Udhayaprakash, & K. Arun Kumar. (2022). Multimodal Complex Road Network and Its Traffic Organization using GIS. Technological Innovation in Engineering Research Vol. 2, 97–110. https://doi.org/10.9734/bpi/tier/v2/2384B