ANALISIS HUBUNGAN VOLUME, KECEPATAN DAN KEPADATAN LALU LINTAS DENGAN METODE GREENSHIELD DAN GREENBERG
(Studi Kasus : Ruas Jl. Ibrahim Adjie, Kec. Indihiang, Kota. Tasikmalaya) KM. 101 + 700
DOI:
https://doi.org/10.25157/mediailmiahtekniksipil.v3i1.5800Keywords:
traffic volume, speed, density, Greenshield, Greenberg, Level of serviceAbstract
Ibrahim Adjie Road Km 101+700 in Indihiang District, Tasikmalaya City is a national road with a two-lane
two-way undivided (2/2 UD) configuration that plays an important role in connecting various centers of community activities. High traffic volumes during certain periods, combined with relatively high side friction, result in a decline in traffic performance and level of service. This study aims to analyze traffic characteristics in terms of volume, speed, and density, as well as the relationships among these parameters using the
Greenshield and Greenberg methods, and to compare the resulting road capacity and level of service with those obtained from the Indonesian Highway Capacity Manual (PKJI) 2023. The results show that based on traffic volume analysis conducted over seven days, the peak traffic volume occurred on Thursday from 16:00 to 17:00 WIB, reaching 2,004 pcu/h. Analysis using PKJI 2023 yielded a road capacity of 2,425.59 pcu/h, resulting in a degree of saturation (Ds) of 0.83, which corresponds to Level of Service D (LOS D). The analysis of the relationships among traffic volume, speed, and density using the Greenshield and Greenberg methods indicates strong correlations, with the coefficient of determination (R²) for the fundamental speed–density (V–D) relationship exceeding 0.90. The capacities obtained from the Greenshield and Greenberg methods are lower than those from PKJI 2023, amounting to 1,854 pcu/h and 2,154 pcu/h, respectively, corresponding to Levels of Service F and E. These differences indicate that PKJI 2023 represents ideal traffic conditions, whereas the Greenshield and Greenberg methods better reflect actual field conditions influenced by side friction and driver behavior. The findings of this study are expected to serve as a basis for improving trafficperformance and traffic management on the study road segment.
