Authors : Ahmad Fauzan Hakim; Puguh Budi Prakoso

Volume/Issue : Volume 9 - 2024, Issue 7 - July

Google Scholar : https://tinyurl.com/utj2ap2m

Scribd : https://tinyurl.com/ycypu46a

DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUL1505

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Traffic jams are a common phenomenon in most parts of Indonesia, especially in market centers, resulting in delays and decreased road performance. Problems in this research area show a decrease in road performance which is characterized by frequent delays which cause traffic jams on the highway due to activity in the market, thus making traffic flow slightly hampered. There are 7 (seven) market points studied on the roads of South Borneo Province and Central Borneo Province Roads, namely Walangku Market in Hulu Sungai Tengah Regency, Kelua Market in Tabalong Regency, Pamarangan Market in Tabalong Regency, Pasar Panas Market in Tabalong Regency, Jaar Market in East Barito Regency, Dayu Market in Tabalong Regency. East Barito, Ampah Market in East Barito Regency and Patas Market in South Barito Regency. The aim of this research is to determine the extent of the influence of market activity and no market activity on traffic characteristics. The parameters observed are traffic volume (V) and speed (S) on the road section studied. The research methods used to analyze the mathematical relationship between volume, speed and density are the Greenshields Model, Greenberg Model, Underwood Model and Bell Model. And to analyze the influence of side obstacles on traffic characteristics using correlation analysis and multiple linear regression. Based on the results of the analysis using mathematical relationship models in both conditions, the best models are found in the Bell model for market days and the Grenberg model for normal days at each market location. And for the results of correlation analysis and multiple linear regression on market days, the factors that influence traffic characteristics are market area (X2), vehicles stopping or parking on the road shoulder (X3), and effective lane width (X5). Meanwhile, on normal days the influencing factors are market length (X1) and effective lane width (X5). An alternative to improving the performance of roads in market areas is by increasing the effective lane width by 2 meters and implementing signs that prohibit parking or stopping on the shoulder of the road when market activity occurs. So the results obtained in the capacity value increased compared to market days by 4% and the resulting speed also increased compared to market days, namely by 6% and density also decreased after improving the performance of the road section, namely down by 3%.

Keywords : Volume, Speed, Side Obstacles, Market Activity

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