Automatic train operation system for the high speed Shinkansen train

Yasui, Yoshitaka

doi:10.2495/978-1-84564-494-9/10

Cited by 1 publication

(1 citation statement)

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“…Until now, optimized ATO is widely used in metros, but seldom in mainline [11]. One successful application in the high-speed line is the Shinkansen train from Morioka to Hachinohe in Japan, which shows a good accuracy to follow the target speed and improvement in saving energy consumption [12]. It should be pointed out that ATO does not automatically imply unattended operation (UTO).…”

Section: Automatic Train Operation (Ato)mentioning

confidence: 99%

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

Rao¹,

Montigel²,

Weidmann³

2012

WIT Transactions on the Built Environment

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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

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Section: Automatic Train Operation (Ato)mentioning

confidence: 99%