| Título: | A RESOURCEFUL EVALUATION OF PERMUTATION-BASED ALGORITHM |
| Autores: |
Kumar, R.Pavan; M.Tech Student, Dept of CSE, RRS College of Engineering and Technology, Patancheru, Medak, A.P, India Prasad, B.Ravi; Professor, Dept of CSE, RRS College of Engineering and Technology, Patancheru, Medak, A.P, India |
| Fecha: | 2013-06-02 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: | Operational Level Management; Permutation Based Algorithm; Traffic Controllers; Trains, Delays; Dynamic Traffic; Railway Traffics |
| Descripción: | Present performance in the operational-level management of railway traffic networks is mostly based on predefined rules and on the capability of traffic controllers and train correspondents to distinguish and evade inconsistent situations. Delays caused by technical failures, fluctuation of passenger volumes, and/or weather conditions can be partly absorbed by a stable and robust timetable the case of large delays, network managers might be forced to re-route or to change the order of trains, break connections, or even cancel a scheduled service to prevent the accumulation of delays in the network. Dynamic traffic management of railway traffic networks at an operational level is discussed in this paper. A model predictive controller based on measurements of the authentic train positions is designed. The center of the model predictive control approach is the railway traffic model, for which exchanging max-plus linear system is proposed. The optimization problem can be recast as a mixed-integer linear programming problem if the model is affine in the controls. A permutation-based algorithm to model the rescheduling of trains running on the same track is proposed. We apply the algorithm to an easy railway traffic network imitation model and show a considerable drop of delays compared to the unrestrained case. |
| Idioma: | Inglés |
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