Simulation of Multi-Vehicle Signaling System with Matlab / Simulink and Design of Train Timetable

Öz

The design of the signal system is very important in order to achieve feasibility values ​​and to provide adequate performance in rail transportation systems. The signaling system is designed to comply with the highest safety requirements such as SIL4 (Safety Integrity Level) according to European standard CENELEC. It is carried out with an uninterrupted exchange of information between the on-board system and the equipment to guide the operations for the enterprise. When designing the signaling system, the life of the system is determined as minimum 30 years. Signaling system is used to control train movement and to ensure train safety. In this study, simulation of multi-vehicle signalization system with the help of matlab / simulink and the design of the train timetable were performed. For the study, the results obtained by simulating the signal system using the data of a rail system line were evaluated on the graphs. With the help of simulation, train overlap analysis is performed together with the frequency of travel analysis to increase the performance and efficiency of the signal system.

Anahtar Kelimeler

• Matlab; Signaling; Simulation; System; Vehicle.

Matlab/Simulink Yardımıyla Çok-Araçlı Sinyalizasyon Sisteminin Simülasyonu ve Tren Zaman Çizelgesinin Tasarımı

Öz

Raylı ulaşım sistemlerinde fizibilite değerlerinin yakalanabilmesi ve yeterli performansın sağlanabilmesi açısından sinyal sisteminin tasarımı çok önemlidir. Sinyalizasyon sistemi, Avrupa standardı CENELEC uyarınca SIL4 (Emniyet Bütünlük Düzeyi) gibi en yüksek emniyet gereklilikleriyle uyumlu olacak şekilde dizayn edilmektedir. İşletme için operasyonların yönlendirilmesi amacıyla araç üstü sistem ile donanımlar arasında kesintisiz bir bilgi alışverişiyle gerçekleştirilir. Sinyalizasyon sistemi tasarlanırken sistemin ömrü minimum 30 yıl olarak belirlenmektedir. Sinyalizasyon sistemi tren hareketini kontrol etmek, tren güvenliğini sağlamak için kullanılmaktadır. Bu çalışmada matlab/simulink yardımıyla çok-araçlı sinyalizasyon sisteminin simülasyonu ve tren zaman çizelgesinin tasarımı yapılmıştır. Çalışma için bir raylı sistem hattına ait veriler kullanılarak sinyal sisteminin benzetimi yapılarak elde edilen sonuçlar grafikler üzerinden değerlendirilmiştir. Benzetim yardımıyla tren çakışma analizi sefer sıklığı analizi ile birlikte yapılarak sinyal sisteminin performansının ve verimliliğinin arttırılması hedeflenmiştir.

Anahtar Kelimeler

• Matlab,Simülasyon,Sinyalizasyon,Sistem,Tren

Kaynakça

1. [1] Kocaarslan, İ., Akçay, M., T., Ulusoy, S., E., Bal, E., Tiryaki, H., “Creation of a dynamic model of the electrification and traction power system of a 25 kV AC feed railway line together with the analysis of different operation scenarios using Matlab/Simulink”, Turkish Journal of Electrical Engineering & Computer Sciences, 2017,25: 4254-4267.
2. [2] Riccardo, R., Massimiliano, G., “An empirical analysis of vehicle time headways on rural two-lane two-way roads”, Procedia - Social and Behavioral Sciences, 2012, 54: 865 – 874.
3. [3] Suweda, I., W., “Time Headway Analysis to Determine the Road Capacity”, Jurnal Spektran, 2016, 4 (2): 71-75.
4. [4] Nakamura, H., “Analysis of minimum train headway on a moving block system by genetic algorithm”, Transactions on the Built Environment, 1998, 34: 1014-1022.
5. [5] Jang, J., Park, C, Kim, B., Choi, N., “Modeling of Time Headway Distribution on Suburban Arterial: Case Study from South Korea”, ”, Procedia - Social and Behavioral Sciences, 2011, 16: 240 – 247.
6. [6] Maurya, A., K., Das, S., Dey, S., Nama, S., “Study on Speed and Time-headway Distributions on Two-lane Bidirectional Road in Heterogeneous Traffic Condition”, Transportation Research Procedia, 2016, 17: 428 – 437.
7. [7] Maurya, A., K., Dey, S., Das, S., “Speed and Time Headway Distribution under Mixed Traffic Condition”, Journal of the Eastern Asia Society for Transportation Studies, 2015, 11: 1774-1792.
8. [8] Minh, C., C., Sano, K., Matsumoto, S., “The Speed, Flow and Headway Analyses of Motorcycle Traffic”, Journal of the Eastern Asia Society for Transportation Studies, 2005, 6: 1496 – 1508.

9. [9] Badhrudeen, M., Ramesh, V., Vanajakshi, L., “Headway Analysis using Automated Sensor Data under Indian Traffic Conditions”, Transportation Research Procedia, 2016, 17: 331 – 339.
10. [10] Kong, D., Guo, X., “Analysis of vehicle headway distribution on multi-lane freeway considering car–truck interaction” Advances in Mechanical Engineering, 2016, 8 (4): 1–12.
11. [11] Moriyama, Y., Mistsuhashi, M., Hirai, S., Oguchi, T., “The Effect on Lane Utilization and Traffic Capacity of Adding an Auxiliary Lane”, Procedia - Social and Behavioral Sciences, 2011, 16: 37 – 47
12. [12] Yamuna, S., “Study of Traffic Flow Characteristics for Heterogeneous Traffic”, IOSR Journal of Engineering (IOSRJEN), 2014, 4 (5): 41-51.
13. [13] Faheem, H., Hashim, I., H., “Analysis of Traffic Characteristics at Multi-lane Divided Highways, Case Study from Cairo-Aswan Agriculture Highway”, International Refereed Journal of Engineering and Science (IRJES), 2014, 3 (1): 58-65.
14. [14] Mathew, T., V., Rao, K., V., K.,” Fundamental Parameters of Traffic Flow”, Introduction to Transportation Engineering, NPTEL, May 3, 2007.
15. [15] Horvat, R., Kos, G., Sevrovic, M., “Traffic Flow Modelling On The Road Network in the Cities”, Tehnicki vjesnik, 2015, 22 (2): 475-486.
16. [16] Geistefeldt, J., “Capacity effects of variable speed limits on German freeways”, Procedia - Social and Behavioral Sciences, 2011, 16: 48 – 56.