Congestion Modelling and Level of Service Assessment of Urban Roads in Mixed Traffic Conditions

Abstract

 In urban locations around the world, traffic  congestion is a problem. Congestion has increased as a  result of inadequate public transportation, stalled  development of the road infrastructure, and increased use of  private transportation by the public to meet the demand for  travel. In developing nations like India, the issue has  become more complex due to heterogeneous traffic on  subpar road and control conditions. Travel delays and  greater vehicle emissions are a result of traffic congestion.  In developed nations, studies have been done to quantify  congestion in order to assess the current condition and  project possible future scenarios. Planning for extra  infrastructure facilities and initiatives needed to reduce  congestion has been done successfully using these  strategies. The current explanations for the congestion  caused by the varied traffic conditions used in India are  insufficient. Due to the set PCE values used for the vehicles  and the capacity norms provided for urban roads, the widely  used v/c ratio and LOS to evaluate the quality of travel in  urban environments have some limitations. The goals of the  current study are to develop a mathematical model to  calculate traffic congestion for heterogeneous traffic as well  as to assign LOS to the studied route segments. Data collecting involves the use of video graphic techniques. On  the Jahangir Chowk–Skims Soura length, several sections  have been designated for study. By taking the pertinent  information out of the digital video clip, the traffic's  characteristics have been examined.