Availability and Performance Analysis of Train-to-Train Data Communication System

Communication-based train control (CBTC) systems are widely applied in the world. The primary functions are carried out by wireless communications, which implement the communication between train and ground. However, this kind of solution involves too many subsystems and interfaces, which makes the group equipment complex and expensive to maintain. What is more, once the ground control center or the communication channel is out of service, the train must operate in degraded modes, and more human factors will be involved. As a result, the efficiency and safety of the train operation will be affected. In order to significantly increase efficiency and safety, train-to-train (T2T) communication is proposed as a new solution for railway signaling. Hence, the availability and performance analysis of the direct T2T data communication system is essential. In this paper, the system structure is described, and different parameters that can affect the performance of the communication system are discussed. In order to evaluate the system availability and performance, the stochastic Petri nets (SPNs) are applied to formalize the communication system. The numerical analysis is carried out with different parameters, which consider both bit error and transmission rates. The results show that the method applied in this paper can be used to evaluate the performance and availability of the T2T data communication system.

[1]  Tuo Shen,et al.  Train-Centric Communication-Based Close Proximity Driving Train Movement Authority System , 2018, IEEE Intelligent Transportation Systems Magazine.

[2]  MengChu Zhou,et al.  Automated Modeling of Dynamic Reliability Block Diagrams Using Colored Petri Nets , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[3]  MengChu Zhou,et al.  Optimal Positioning of Ground Base Stations in Free-Space Optical Communications for High-Speed Trains , 2018, IEEE Transactions on Intelligent Transportation Systems.

[4]  Tao Tang,et al.  Measurements and Analysis of Large-Scale Fading Characteristics in Curved Subway Tunnels at 920 MHz, 2400 MHz, and 5705 MHz , 2015, IEEE Transactions on Intelligent Transportation Systems.

[5]  Tuo Shen,et al.  A New Movement Authority Based on Vehicle-Centric Communication , 2018, Wirel. Commun. Mob. Comput..

[6]  Xiang Cheng,et al.  Future railway services-oriented mobile communications network , 2015, IEEE Communications Magazine.

[7]  Paul Unterhuber,et al.  Train-to-train propagation at 450 MHz , 2017, 2017 11th European Conference on Antennas and Propagation (EUCAP).

[8]  Eckehard Schnieder,et al.  Development and Validation of a Distance Measurement System in Metro Lines , 2019, IEEE Transactions on Intelligent Transportation Systems.

[9]  Marco Ajmone Marsan,et al.  Stochastic Petri nets: an elementary introduction , 1988, European Workshop on Applications and Theory in Petri Nets.

[10]  Andreas Lehner,et al.  On the Performance of TETRA DMO Short Data Service in Railway VANETs , 2013, Wirel. Pers. Commun..

[11]  Tiago M. Fernández-Caramés,et al.  Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways , 2017, Sensors.

[12]  Eckehard Schnieder,et al.  Development and Evaluation Procedure of the Train-Centric Communication-Based System , 2019, IEEE Transactions on Vehicular Technology.

[13]  Yingkai Zhang,et al.  Performance Analysis of Device-to-Device Communications with Dynamic Interference Using Stochastic Petri Nets , 2013, IEEE Transactions on Wireless Communications.

[14]  Eckehard Schnieder,et al.  Validation, verification and evaluation of a Train to Train Distance Measurement System by means of Colored Petri Nets , 2017, Reliab. Eng. Syst. Saf..

[15]  Haifeng Song Development and analysis of a Train-centric Distance Measurement System by means of Colored Petri Nets , 2018 .

[16]  Andreas Lehner,et al.  Direct train-to-train communications at low UHF frequencies , 2018 .

[17]  Eckehard Schnieder,et al.  Verification of the safety communication protocol in train control system using colored Petri net , 2012, Reliab. Eng. Syst. Saf..

[18]  Eckehard Schnieder,et al.  Modeling of railway system maintenance and availability by means of colored Petri nets , 2018 .

[19]  Bo Ai,et al.  Measurement and Analysis of Extra Propagation Loss of Tunnel Curve , 2016, IEEE Transactions on Vehicular Technology.

[20]  Bo Ai,et al.  Channel Measurement, Simulation, and Analysis for High-Speed Railway Communications in 5G Millimeter-Wave Band , 2018, IEEE Transactions on Intelligent Transportation Systems.

[21]  Mariagrazia Dotoli,et al.  A Survey on Petri Net Models for Freight Logistics and Transportation Systems , 2018, IEEE Transactions on Intelligent Transportation Systems.

[22]  Bo Ai,et al.  Complete Propagation Model in Tunnels , 2013, IEEE Antennas and Wireless Propagation Letters.

[23]  Daisuke Inoue,et al.  Amplitude-Modulated Laser Radar for Range and Speed Measurement in Car Applications , 2012, IEEE Transactions on Intelligent Transportation Systems.

[24]  Günter Hommel,et al.  A train control system case study in model-based real time system design , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[25]  Hairong Dong,et al.  Cooperative Control Synthesis and Stability Analysis of Multiple Trains Under Moving Signaling Systems , 2016, IEEE Transactions on Intelligent Transportation Systems.

[26]  Reinhard German,et al.  Performance modeling of IEEE 802.11 wireless LANs with stochastic Petri nets , 2001, Perform. Evaluation.

[27]  Armin Zimmermann,et al.  Reliability modelling and evaluation of dynamic systems with stochastic Petri nets (tutorial) , 2013, VALUETOOLS.