A Multi-agent Method for Adaptive Real-time Train Scheduling with Conflict Limitations
نویسندگان
چکیده
The paper proposes a multi-agent method to creating an intelligent adaptive system of train real time scheduling with conflict limitations. The architecture of the multi-agent system consisting of two base planning subsystems is described. Subsystem interaction protocols and protocols of agent interaction within each subsystem are presented. The example of schedule planning in various situations is presented in details. Realizable characteristics of the developed multiagent system are presented. High quality of schedule planning and system performance is shown.
منابع مشابه
Network-centric approach to adaptive real-time train scheduling
When solving complex railway management automation tasks, one constantly has to deal with a lot of disruptive events, which differ in intensity and source and can lead to conflicts and fluctuations in schedules of passenger, suburban and cargo trains. This makes matters even worse in large-scale railway systems with a high level of connectivity. Today solving conflict situations in trains devia...
متن کاملDynamic Cargo Trains Scheduling for Tackling Network Constraints and Costs Emanating from Tardiness and Earliness
This paper aims to develop a multi-objective model for scheduling cargo trains faced by the costs of tardiness and earliness, time limitations, queue priority and limited station lines. Based upon the Islamic Republic of Iran Railway Corporation (IRIRC) regulations, passenger trains enjoy priority over other trains for departure. Therefore, the timetable of cargo trains must be determined based...
متن کاملA discrete-event optimization framework for mixed-speed train timetabling problem
Railway scheduling is a complex task of rail operators that involves the generation of a conflict-free train timetable. This paper presents a discrete-event simulation-based optimization approach for solving the train timetabling problem to minimize total weighted unplanned stop time in a hybrid single and double track railway networks. The designed simulation model is used as a platform for ge...
متن کاملAdaptive Consensus Control for a Class of Non-affine MIMO Strict-Feedback Multi-Agent Systems with Time Delay
In this paper, the design of a distributed adaptive controller for a class of unknown non-affine MIMO strict-feedback multi agent systems with time delay has been performed under a directed graph. The controller design is based on dynamic surface control method. In the design process, radial basis function neural networks (RBFNNs) were employed to approximate the unknown nonlinear functions. S...
متن کاملReal-time train driver rescheduling by actor-agent techniques
Passenger railway operations are based on an extensive planning process for generating the timetable, the rolling stock circulation, and the crew duties for train drivers and conductors. In particular, crew scheduling is a complex process. After the planning process has been completed, the plans are carried out in the real-time operations. Preferably, the plans are carried out as scheduled. How...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016