Train timetabling, platforming, and network maintenance scheduling are three highly interdependent problems that crucial in the planning of railway operations, each is normally addressed separately. In this paper, we simultaneously optimize these for a high-speed comprised multiple lines stations. We model on mesoscopic level formulate 0–1 binary integer programming minimizes total train weight...

In the planning stage, train operators design timetables to serve passenger trips and a circulation plan support these timetables. These designs consider not only operating costs but also convenience. this study, we developed an optimization model for new problem that focuses on timetabling train-unit scheduling while considering itinerary choices in schedule-based system. This minimizes travel...

In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is minimization of the weighted summation of the expected cost of passenger waiting time, its va...

Timetabling problems emerge in many variations [9], depending on the nature of the assignments involved (exam timetabling, course timetabling, school timetabling and others), as well as, the characteristics of the institution and the set of constraints assumed. In this communication we focus on a particular school timetabling problem the Class/Teacher Timetabling Problem (CTTP) that will be des...

The timetabling problem consists in fixing a sequence of meetings between teachers and students in a given period of time, satisfying a set of different constraints. There are a number of different versions of the timetabling problem. These include school timetabling (where students are grouped in classes with similar degree plans), university timetabling (where students are considered individu...

The Train Timetabling Problem (TTP) consists in finding a train schedule on a railway network that satisfies some operational constraints and maximizes a profit function which counts for the efficiency of the infrastructure usage. In practical cases, however, the maximization of the objective function is not enough and one calls for a robust solution that is capable of absorbing as much as poss...

The high-speed railways have made rapid developments in recent years. Fulfilling passenger demand and providing precise train services are the core problems to be solved railway operation. This paper proposes an optimization strategy for demand-responsive transport integrate train-stop planning timetabling railways. Passenger travel information, including their origins, destinations expected de...

Abstract The planning process in urban rail transportation can be split into several stages, including line planning, timetabling, rolling stock scheduling and so on. outcome of a stage provides inputs or constraints to the subsequent ones. However, while output good optimal at each stage, it rarely considers global quality for overall process. Furthermore, problems tackled phase often use more...