Paper Title
A Synchronous Model of Solving Train Scheduling Problem using Distributed Multi Agent System

Abstract
Train scheduling is an essential problem of railways networks programming. The most common type of railways is single-line which in turn creates more limitations. The efforts to solve this issue have been started since decades, the previous and current efforts work by applying various techniques that contributed to solve the problem in different concepts. However, despite the wide range of multi agent application and the complicated problems that solved by multi agent systems, there were no significant implementation and use of multi agent systems to solve the train scheduling problem. Therefore, we proposed a model for train scheduling in single-line railways, where we present a multi agent based model by formulating this problem as a distributed constraint satisfaction problem (DCSP). Since in railways the trains travel the different block simultaneously, hence the use of intelligent agents and provide a model that can solve the problem simultaneously matches with the issue perfectly. Existing synchronization in our proposed method avoids of unnecessary stop in trains travel and subsequently it gives an optimal scheduling. Experiments designed to evaluate the effectiveness of the suggested solution; the implementation of the algorithm goes on two directions with and without constraints. The result proves the multi agent systems ability to provide a valid contribution to solve the train scheduling issue. Keywords - Intelligent agents; multi-agent systems; distributed constraint satisfaction problem; train scheduling.