Revisiting PCU Values of Various Vehicles in Mixed Traffic Conditions: Estimation and Comparison
Revisiting PCU Values of Various Vehicles in Mixed Traffic Conditions: Estimation and Comparison
Author(s): Amir Ali Khan, Sachin DassSubject(s): Economy, Human Geography, Applied Geography, Methodology and research technology, Transport / Logistics
Published by: Žilinská univerzita v Žilině
Keywords: PCU; Chandra's method; IRC; comparison; speed-based modelling
Summary/Abstract: This study is an attempt to derive and to compare the Passenger Car Unit (PCU) values of vehicle types present in the stream, obtained using the Chandra's method, homogeneous coefficient method, speed-based modelling, and multiple linear regression method. Using the data collected from five sites of Sonipat City with varying traffic and geometric characteristics, it was found that Chandra's method is the best method to derive the PCU values in heterogeneous traffic conditions on divided urban roads. The PCU values obtained from Chandra's method are closer to IRC (Indian Roads Congress) code values. The PCU value of e-rickshaw was also estimated in this study, and it was found that it is smaller than one using the Chandra's method. The result of the comparison of obtained PCU values and values given in the IRC code points to conclusion that the IRC codes pertaining to PCU values need revision.
Journal: Komunikácie - vedecké listy Žilinskej univerzity v Žiline
- Issue Year: 27/2025
- Issue No: 2
- Page Range: 76-89
- Page Count: 14
- Language: English