Sentence examples for timetable optimization from inspiring English sources
Train energy-efficient operation consists of timetable optimization and speed control.
This paper tackles the train timetable optimization problem for metro transit networks (MTN) in order to enhance the performance of transfer synchronization between different rail lines.
One of the aims of the RECIFE project is to develop a timetable optimization model as well as timetable evaluation modules.
This study particularly focuses on the timetable optimization problem in the transitional period (from peak to off-peak hours or vice versa) during which train headway changes and passenger travel demand varies significantly.
Uncertainty in delays is modeled as fuzzy numbers and punctuality constraints, and the timetable optimization model is a fuzzy linear programming model, in which the objective function includes the consumptions of delayed scenarios and the behavioral response of the driver that will affect the consumption.
Section 3 mainly depicts the timetable optimization problems from different perspectives.
A sequential Mixed Integer Linear solving procedure is then used to solve the timetabling optimization problem with unknown train loads.
The next step in the process of train timetabling optimization is to obtain a train timetable that minimizes the total delay time and maximizes the capacity of rail network simultaneously.
In the train timetabling problem, the optimization objective is minimization of total delay time which includes the predefined time the train must stop in the stations, the time to stop the trains due to maintenance operations, and the time to stop the trains due to pray (Eqs. 1 7).
The integrated timetable and speed profile optimization model has recently attracted more attention because of its good achievements on energy conservation in metro systems.
In this paper, we develop an integrated metro timetable and speed profile optimization model to minimize the total tractive energy consumption, where these real-world operating conditions are explicitly considered in the model formulation and solution algorithm.
