LINTAS-BD 1.2: Modeling and simulation traffic of Bandung City using SimEvents MATLAB

Abstract

Traffic is a very vital medium for various means of land transportation that connects various locations and even large cities. The smooth traffic of a city is one of the performance parameters of the local government. Furthermore, the smooth traffic determines the great development of economic, social, educational and technology. As the increasing level of civilization development and also the population, traffic becomes more congested and becomes a big problem that is very difficult to avoid. In this study, we proposed a traffic simulator system LINTAS-BD 1.2, or commonly called as “LINTAS” which served as a tool to solve traffic congestion problems. Various methods and traffic engineering designs can be simulated first through the LINTAS system, before they are actually implemented on the road. The benefit of the LINTAS is to evaluate and simulate traffic conditions based on the design of a particular method or traffic engineering. Furthermore, through simulations, it can be known and tested analytically about the level of accuracy, efficiency, and effectiveness of the method and design. Through the simulation, the most appropriate traffic management method can be found, so that the problem of traffic congestion can be solved. The model and the design system of LINTAS is the arrangement and integration of various blocks or modules included: roads, traffic light, arrival of vehicles, queues, servers, and various obstacles such as intersections, terminals, markets, branches, etc. These various blocks are then combined into a single unit application as a simulator. The objective of this research is to compile a simulation application (traffic simulator) that can be used as a tool to accurately predict traffic situations, and as a medium for testing traffic engineering. The LINTAS simulator is created using the SimEvents toolbox and runs on the MATLAB-Simulink software. The LINTAS system is compiled based on Mathematics, specifically the Queueing Theory.