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Yayın An automatic calibration procedure of driving behaviour parameters in the presence of high bus volume(Faculty of Transport and Traffic Engineering, 2019-11) Dadashzadeh, Nima; Ergün, Murat; Kesten, Ali Sercan; Zura, MarijanMost of the microscopic traffic simulation programs used today incorporate car-following and lane-change models to simulate driving behaviour across a given area. The main goal of this study has been to develop an automatic calibration process for the parameters of driving behaviour models using metaheuristic algorithms. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and a combination of GA and PSO (i.e. hybrid GAPSO and hybrid PSOGA) were used during the optimization stage. In order to verify our proposed methodology, a suitable study area with high bus volume on-ramp from the 0-1 Highway in Istanbul has been modelled in VISSIM. Traffic data have been gathered through detectors. The calibration procedure has been coded using MATLAB and implemented via the VISSIM-MATLAB COM interface. Using the proposed methodology, the results of the calibrated model showed that hybrid GAPSO and hybrid PSOGA techniques outperformed the GA-only and PSO-only techniques during the calibration process. Thus, both are recommended for use in the calibration of microsimulation traffic models, rather than GA-only and PSO-only techniques.Yayın Traffic simulation for traffic congestion problem of Fatih Sultan Mehmet Bridge of Istanbul Turkey(Işık Üniversitesi, 2014-01-21) Selçuk, Barlas; Çavdaroğlu, Burak; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Endüstri Mühendisliği - Yöneylem Araştırması Yüksek Lisans ProgramıOn a regular day, almost 200,000 cars use Fatih Sultan Mehmet Bridge of Istanbul to commute between European and Asian side of the Bosporus. This enormous volume causes the traffic congestion to become a problem not only endemic to the bridge, but also cascading some major arterial roads of the city. This study includes a simulation model to analyze the traffic congestion problem in Fatih Sultan Mehmet Bridge of Istanbul. The main focus of this research are to identify the bottlenecks of the system, to discover vehicle behaviors in these bottlenecks, and to create a simulation model to predict the level of congestion on the bridge that will occur with different arrival rates of the vehicles. Our simulation analysis shows that even though there is no significant difference between the number of cars arriving to the bridge from both directions in the evening rush hour, when both directions on the bridge have four lanes (without any counter-flow lane), east direction (Europe-to-Asia) suffers more from traffic congestion due to lane merging taking place after the electronic toll collection (ETC) plazas. The analysis also suggests that a counter-flow lane in favor of the east (Europe-to-Asia) direction significantly improves the average number of cars congested at the entrance of the bridge.
