The conflict resolution in connected railway junctions


Autoria(s): Tsang, C.W.; Ho, T.K.
Data(s)

2003

Resumo

Purpose of study: Traffic conflicts occur when trains on different routes approach a converging junction in a railway network at the same time. To prevent collisions, a right-of-way assignment is needed to control the order in which the trains should pass the junction. Such control action inevitably requires the braking and/or stopping of trains, which lengthens their travelling times and leads to delays. Train delays cause a loss of punctuality and hence directly affect the quality of service. It is therefore important to minimise the delays by devising a suitable right-of-way assignment. One of the major difficulties in attaining the optimal right-of-way assignment is that the number of feasible assignments increases dramatically with the number of trains. Connected-junctions further complicate the problem. Exhaustive search for the optimal solution is time-consuming and infeasible for area control (multi-junction). Even with the more intelligent deterministic optimisation method revealed in [1], the computation demand is still considerable, which hinders real-time control. In practice, as suggested in [2], the optimality may be traded off by shorter computation time, and heuristic searches provide alternatives for this optimisation problem.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/38388/

Publicador

Taylor & Francis

Relação

http://eprints.qut.edu.au/38388/1/38388A.pdf

http://www.umac.mo/epmesc2003/

Tsang, C.W. & Ho, T.K. (2003) The conflict resolution in connected railway junctions. In Computational Methods in Engineering and Science : Proceedings of the 9th International Conference EPMESC IX, Taylor & Francis, University of Macau, China.

Direitos

Copyright 2003 Swets & Zeitlinger

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #010206 Operations Research #080105 Expert Systems #090507 Transport Engineering #Railway transportation #Junction traffic #Conflict resolution #Genetic algorithm
Tipo

Conference Paper