Modeling and Analysis of Train Rear-End Collision Accidents Based on Stochastic Petri Nets

Abstract

We proposed a model of the train rear-end collision accidents based on stochastic Petri nets (SPN) theory. By isomorphic Markov chain model of the proposed accident model, we provide the quantitative analysis of the train rear-end collision accidents. Fuzzy random method is also applied to analyze the performance of the proposed model. In addition, according to the data extracted from a large amount of historical data of the accident statistics, we present a case analysis and discussion. It showed that the results of the proposed train rear-end accident model based on SPN are reasonable in practical applications and can be used to effectively analyze the accidents and prevent loss, and the results may be a reference to the department of railway safety management.

Real-time collision handling in railway transport network: an agent-based modeling and simulation approach

“…The simulation is coded using JAVA in UNIX platform of personal computer with 2.90 GHz processor speed and 4GB memory. Proposed approach is compared against the existing centralized approach and with various other similar approaches [21], [29]- [31] in JADE environment-a Java based agent development framework [42]. The algorithms have been tested with varying number of trains, stations and junctions, taking real-time dataset from Indian Railways.…”

“…The graph in Figure 10 presents the total number of message passing among all trains, stations, and junctions, during collision handling procedure for proposed approach as well as other existing approaches cited in paper [29]- [31]. In case of purely centralized approach there is no train-totrain or junction-to-junction communication.…”

“…Again, from this graph it is also noticed that, compared to other existing techniques highlighted above, a very small number of messages are exchanged for the collision handling technique in our proposed approach. Figure 11 compares the collision detected by the proposed detection approach and other existing approaches discussed state-of-the-art [21], [29]- [31] for the same experimental setup. In these cited paper, depending on the communication strategies the total number of collision detection varies eventually.…”

“…Some rear-end collision avoidance strategies are discussed in [29], [30]. In [29], authors consider only one track in oneway to model and analyze rear-end collision.…”

“…Some rear-end collision avoidance strategies are discussed in [29], [30]. In [29], authors consider only one track in oneway to model and analyze rear-end collision. The collision avoidance parameters such as train distance control system, train state communication-control system and danger alert system are assumed to be incorporated within the system.…”