Re-designing of the bottleneck on Suryanata Street Samarinda City East Kalimantan

Abstract

Some indicators of traffic problems like congestion, pollution and accident become the benchmark to evaluate the infrastructure performance. One kind of problem that often happened are the Bottleneck problems. In this kind of condition, the capacity of one side of the road is lower than before condition. On the other hand, in the process of landscape design of bottleneck deciding only by the availability of the space and those kinds of condition are not getting research by some specialist. The purpose of this research is to analyze the design parameter to enhance the capacity so case we can decreasing the number of congestion in a significant way. This research has taken place in Suryanata Street, Samarinda City. This research uses the model of Greenshield Linear, Greenberg Logarithmic, and Exponential Underwood to state the relationship between the performance of Traffic, Volume, Speed, and Density so we can decide the best model to analyze the shock wave that is using to design the parameter that effecting the design of bottleneck road area. Meanwhile, the pollution that can identify it consist of: CO (in the part of Per Million / PMM), NOX (calculate in Cubic meter / M3) and level of smoke (calculate in Cubic Meter / M3) with using the model of Hobbs (1979). Re-designing will be implemented to get the optimal performance infrastructure in the research location, and evaluate those kinds of terms. The result of the research got three design parameters in the Bottleneck area. There are track width, length of the road, and traffic volume. From the result analysis, the researcher is doing the Re-designing in the bottleneck area of the research location by using the parameter performance of congestion, specifically on delayed and pollution, like CO, NOX and level of smoke. Based on the re-designing, we can be decreasing the delay in the amount of 29.31% decreasing the number of NOX by 25.03% on CO we can be decreasing in the amount of 14.88% and also decreasing the level of smoke by 11.94%.