Depending upon improving technology, increase at the number of vehicles has appeared in Erzurum province as in all around the world, and this has caused increase at traffic volume in main arteries and intersections on these inner-city main arteries. Because Tebrizkapı Junction is located between Cumhuriyet Street, Karskapı Street which is the busiest center of the city, and Taş Mağazalar Street, one of the most important shopping centers, it is exposed to serious traffic intensity especially in the morning working hours and evening working hours. In accordance with the numbers of countings, peak hour for the morning in Tebrizkapı intersection is between 7.45 and 8.45 a.m., and the peak hour for the evening is between 4.45 and 5.45 p.m. The traffic volumes of peak hours were used during the simulation. In this study, using the AIMSUN software, the current state of the Tabrizkapı Junction, and the different junction types and designs are simulated by Micro-simulation. The GEH (Geoffrey E. Havers) formula, which is used as a verification test on traffic volumes, was used to measure the accuracy of the models produced. The delay time and the stop time for the existing situation were 41.10 and 26.85 seconds, respectively. By changing the type of the existing intersection, the Roundabout and Grade Seperated Junctions were designed and simulated. The delay times for the new designs were found as 9.21 and 5.03 seconds for Roundabout and Grade Seperated Junction respectively. The stop times for the new designs were found 1.66 and 1.20 seconds for Roundabout and Grade Seperated Junctions respectively. As a result of the simulations, the most appropriate intersection type was found as Grade Seperated Junction considering the delay time and stop time factors. Due the high construction cost of the Grade Seperated Junction, the Roundabout junction has been found as the most appropriate choice

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Rapidly changing lifestyles, rising expectations, and increased private vehicle ownership have caused increases in the number of urban trips. All these changes that have appeared in time have made the parking requirement more important every day. Parking surveys have been required to determine what actions to be taken leadingly during the location selection and building processes of the parking areas to be built. The failure on planning parking areas correctly reveals environmental and economic problems as well as social problems. In this study, parking surveys were carried out primarily in order to determine location, types and capacities of existing car parks. The capacity and locations of the new parking areas have been determined considering five-year traffic increases. The points where parking needs were most needed were determined counting the vehicles parked at 44 separate on-road parking areas in the city center of Erzincan, where parking fees are charged by the municipality. In determined parking areas, statistical analyses were performed with spatial analysis outputs, artificial neural networks and time series analysis methods counting the vehicles parked regularly during daylight hours for one year. Solutions were offered to reduce parking load in traffic identifying new correctly located car parking areas in Erzincan city center. In the light of the analysis results, the location and capacities of the new parking areas suggested to be built identifying 6 different points in the city center were determined. In conclusion, an additional 1420-vehicle parking capacity in suggested new parking spaces was proposed as a solution-oriented approach for the parking problem in the city center.

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