DefinePK

Abstract

This article is focused on determining the Passenger Car Equivalent (PCE) values at different location that divided into road segment and locus. The PCE values are needed to analyse the traffic flows of roads in mixed traffic condition, and differing geometric or environmental conditions. Traffic conditions consist of type and dimension of vehicles, number and percentage of vehicles, time headway, speed and delay. Generally, environmental condition is discussed together with the geometric. These conditions are related to types of road, alignment, characteristics of lanes, design speed, road surface, weather, roadside activities (pedestrians walking and crossing, traders, parking, buses stopping, and slow vehicles). This study aims to develop the model of the PCE values at different segment and locus, and to find the significance of the differences of those values. The basic hypothesis is that the difference will be significant if too different conditions of locations, but it will not be significant if nearly the same conditions. This study is part of the research carried out at nine urban road segments in three cities in Indonesia. Each road segment was divided into four loci corresponding to the locations of camcorder, namely Locus B (before), Locus Z (at zebra crossing), Locus A (after) and Locus O (outside area). The PCE values were analysed by using multi linear regression model that consist of the speed ratio, dimension ratio, percentage of vehicle ratio, and side friction factoras independent variables. Finding so far shows that the standard deviation is nearly same each locus, but there is very noticeable difference each road segment. This is indicated that group data per locus tend to have the same or insignificant difference mean, while group data per road segment, either same or different mean is possible occurred.