Service bid comparisons by fuzzy ranking in open railway market timetabling
Expert Systems with Applications: An International Journal
Predicting vertical acceleration of railway wagons using regression algorithms
IEEE Transactions on Intelligent Transportation Systems
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
Intelligent negotiation behaviour model for an open railway access market
Expert Systems with Applications: An International Journal
Train Schedule Coordination at an Interchange Station Through Agent Negotiation
Transportation Science
Train service timetabling in railway open markets by particle swarm optimisation
Expert Systems with Applications: An International Journal
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In open railway access markets, a train service provider (TSP) negotiates with an infrastructure provider (IP) for track access rights. This negotiation has been modeled by a multiagent system in which the IP and the TSP are represented by separate software agents. One of the tasks of the IP agent is to generate feasible (and preferably optimal) track access rights, subject to the constraints submitted by the TSP agent. This paper formulates an IP-TSP transaction and proposes a branch-and-bound algorithm for the IP agent to identify the optimal track access rights. Empirical simulation results show that the model is able to emulate rational agent behaviors. The simulation results also show good consistency between the timetables that were attained from the proposed methods and those that were derived by the scheduling principles adopted in practice.