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Title:

Hierarchical Timed Petri Net Modeling for Railway Emergency Plan of EMUs Rescue

Accession Number:

01763689

Record Type:

Component

Abstract:

When a railway emergency occurs, especially for EMUs (Electric Multiple Units) of higher speed, it often leads to unexpected consequences. Therefore, the railway emergency plan, a pre-established response plan to deal with emergencies, plays an important role in reducing injuries and losses. However, most of the existing railway emergency plans remain as plain-text documents, requiring lots of manual work to capture the important regulations. Many researchers have proposed many methods for emergency modeling and analysis. However, for the research on railway emergency plan modeling, there is still a great lack. Therefore, to form a visualized, formal and digital railway emergency plan, this paper proposed a HTPN (Hierarchical Timed Petri Net)-based modeling method. The framework model was proposed first for all kinds of railway emergency plans. Then the instantiated HTPN model of railway emergency plan of EMUs rescue was built by ExSpect, a Petri net simulation tool. The instantiated HTPN model is of better readability, execution, and visualization. The experiments show that the HTPN model can conform to the practice well. Furthermore, according to the simulation results, this paper put forward some suggestions for the optimization of the EMUs rescue emergency plan.

Supplemental Notes:

This paper was sponsored by TRB committee AMR10 Standing Committee on Critical Transportation Infrastructure Protection.

Report/Paper Numbers:

TRBAM-21-03527

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Ji, Yuqing
Ou, Dongxiu
ZhG, Rei
Phichitthanaset, Visarut
Tang, Chenkai

Pagination:

16p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Planning and Forecasting; Railroads; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-03527

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:09AM