Holistic optimization of train traffic by integration of automatic train operation with centralized train management

Abstract

Nowadays, railways are confronted with numerous pressing problems, including capacity optimization, energy conservation, cost reduction and improving customer satisfaction. While the traditional railway is a very safe means of transportation, it still cannot meet all these requirements. Hence there are high interests in two available systems to overcome these challenges: Traffic Management System (TMS) and the optimized Automatic Train Operation (ATO). TMS is an efficient solution, which centralizes data to the railway infrastructure manager, while optimized ATO is an on-board approach available to minimize the loss of efficiency caused by manual operation. Until now, there are a lot of research studies about TMS and ATO as separate subjects. However, there is only poor research, which aims at closely coordinating the optimization strategies of TMS and ATO. This is because TMS is limited in the network scheduling optimization, while optimized ATO is centred on train behaviour optimization. Therefore this article presents the key idea of this research is to bridge the gap between TMS and ATO, to make progress towards combining the knowledge from both the infrastructure side and the train side. The primary objective is to bring an added value for achieving higher capacity, less energy consumption and higher operation quality by integration of Automatic Train Operation with centralized Train Management. In addition, an optimized ATO approach is introduced by integration of predictive fuzzy control with analytical hierarchy process. If this research has a positive response, it could bring about a new Computers in Railways XIII 39

Towards a simulation-based framework for evaluating energy-efficient solutions in train operation

“…Regarding the level of control it is possible to highlight two different classes: the rail traffic control and the train operation control. Although the rail traffic control is mainly focused on conflicts avoidance, delay reduction and, in general, maximum exploitation of the system, in many cases solutions are also optimised for energy consumption reduction (see D'Ariano et al [1]; Corman et al [2]; Rao et al [3]). The train operation control is focused on single train dynamics and an energy efficient solution can be directly developed through an optimization of train trajectories or speed profiles.…”