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Optimizing Signal Control on Signalized Intersection using Micro-Traffic Simulation Approach: Case Study Haji Bau Cendrawasih -Arif Rate Intersection in Makassar City
Yatmar H.
Aip Conference Proceedings
Abstract
Traffic congestion is one of the main problems in transportation, especially at intersections, due to the conflict of traffic movements from each approach. The number of vehicles increases rapidly every year while the capacity of the road network remains. Traffic signal optimization is one of the easiest solutions to reduce congestion at a signalized intersection and requires the least cost. This research aims to evaluate the performance of signalized intersections on existing conditions then analyze several signal control optimization scenarios by using micro-traffic simulation programs to obtain the best signal control optimization results. A microsimulation program is used to generate the traffic model and simulate the suggested scenarios. The calibration is conducted by the trial and error method by changing driving behavior parameters according to the Wiedemann 74 Car-Following Model for traffic in the urban area. The variables counting on the validation process are the traffic volume and average queue length at each approach then tested by the Geoffrey E. Havers (GEH) and Chi-square methods. Optimizing the signal control indicates the queue length and delay can be reduced significantly. Furthermore, future research may also use other parameters, such as the maximum queue length in the validation process in order to obtain a better traffic model.