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

Year 2019, , 799 - 807, 30.09.2019
https://doi.org/10.31202/ecjse.579940

Abstract

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.

References

  • [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] 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] Suweda, I., W., “Time Headway Analysis to Determine the Road Capacity”, Jurnal Spektran, 2016, 4 (2): 71-75.
  • [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] 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] 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] 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] 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] Badhrudeen, M., Ramesh, V., Vanajakshi, L., “Headway Analysis using Automated Sensor Data under Indian Traffic Conditions”, Transportation Research Procedia, 2016, 17: 331 – 339.
  • [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] 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] Yamuna, S., “Study of Traffic Flow Characteristics for Heterogeneous Traffic”, IOSR Journal of Engineering (IOSRJEN), 2014, 4 (5): 41-51.
  • [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] Mathew, T., V., Rao, K., V., K.,” Fundamental Parameters of Traffic Flow”, Introduction to Transportation Engineering, NPTEL, May 3, 2007.
  • [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] Geistefeldt, J., “Capacity effects of variable speed limits on German freeways”, Procedia - Social and Behavioral Sciences, 2011, 16: 48 – 56.

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

Year 2019, , 799 - 807, 30.09.2019
https://doi.org/10.31202/ecjse.579940

Abstract

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.

References

  • [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] 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] Suweda, I., W., “Time Headway Analysis to Determine the Road Capacity”, Jurnal Spektran, 2016, 4 (2): 71-75.
  • [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] 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] 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] 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] 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] Badhrudeen, M., Ramesh, V., Vanajakshi, L., “Headway Analysis using Automated Sensor Data under Indian Traffic Conditions”, Transportation Research Procedia, 2016, 17: 331 – 339.
  • [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] 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] Yamuna, S., “Study of Traffic Flow Characteristics for Heterogeneous Traffic”, IOSR Journal of Engineering (IOSRJEN), 2014, 4 (5): 41-51.
  • [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] Mathew, T., V., Rao, K., V., K.,” Fundamental Parameters of Traffic Flow”, Introduction to Transportation Engineering, NPTEL, May 3, 2007.
  • [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] Geistefeldt, J., “Capacity effects of variable speed limits on German freeways”, Procedia - Social and Behavioral Sciences, 2011, 16: 48 – 56.
There are 16 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Makaleler
Authors

Mehmet Taciddin Akçay 0000-0002-1050-4566

İlhan Kocaarslan 0000-0003-2591-4047

Publication Date September 30, 2019
Submission Date June 19, 2019
Acceptance Date August 27, 2019
Published in Issue Year 2019

Cite

IEEE M. T. Akçay and İ. Kocaarslan, “Matlab/Simulink Yardımıyla Çok-Araçlı Sinyalizasyon Sisteminin Simülasyonu ve Tren Zaman Çizelgesinin Tasarımı”, ECJSE, vol. 6, no. 3, pp. 799–807, 2019, doi: 10.31202/ecjse.579940.