Fuzzy Petri nets for rule-based decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Optimal pacing of trains in freight railroads: model formulation and solution
Operations Research
Hybrid simulation for resolving resource conflict in train traffic rescheduling
Computers in Industry
Knowledge Representation Using Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
A network-based train traffic simulation with changeable rescheduling strategies
ISPAN '96 Proceedings of the 1996 International Symposium on Parallel Architectures, Algorithms and Networks
Exploring airport traffic capability using Petri net based model
Expert Systems with Applications: An International Journal
A demand-responsive decision support system for coal transportation
Decision Support Systems
A novel predictive control based framework for optimizing intermodal container terminal operations
ICCL'12 Proceedings of the Third international conference on Computational Logistics
Dispatching and coordination in multi-area railway traffic management
Computers and Operations Research
Hi-index | 12.05 |
Railway traffic control by dispatchers in case of abnormality is critical to assure the service quality of a railway system's operation. However, this unique professional knowledge often lies in the dispatcher's mind. Therefore, this study aims to transform a train dispatcher's expertise into a useful knowledge rule. The fuzzy Petri Net approach is adopted to formulate the decision rules of train dispatchers in case of abnormality as the basis for future development of a dispatching decision support system. The dispatching decision rules, factors, and possible options when perturbation happens are collected via expert interviews and literature reviews. This study discusses the abnormal scenarios, including centralized traffic control system failure, automatic train protection failure, and locomotive failure. A case study of a line section of Taiwan's railway network is implemented and the empirical result could be used as a reference in railway dispatching in case of abnormality.