One of the main priorities for metro line operators is the reduction of energy consumption, due to the environmental impact and economic cost. The new moving block signalling system CBTC (Communication Based Train Control) is being installed in order to increase the transport capacity of new metro lines, and to upgrade lines equipped with the former fixed block signalling systems. In addition, ...

A novel nonautonomous chaotic oscillator based on the passive structure of Chua's circuit is proposed. Unlike most of the available members of this class of chaotic oscillators, the proposed circuit is driven by a periodic bipolar pulse-train rather than by sinusoidal excitation. This results in equilibrium points which have ®xed positions in space. The circuit employs self feedback via a singl...

New-generation signalling and train control systems, such as ETCS-level 2, distance-to-go ATC and many CBTC implementations, effectively transfer responsibility for safe train separations from track-based ‘fixed block’ sections to dynamic on-board calculations using data from speed sensors. Signalled line capacity, in terms of trains per hour, is thereby directly dependent on true train speed, ...

In daily operation, railway traffic always deviates from the planned schedule to a certain extent. Primary initial delays of trains may cause a whole cascade of secondary delays of other trains over the entire network. In this paper, we propose a stochastic model for delay propagation and forecasts of arrival and departure events which is applicable to all kind of public transport (not only to ...

Power-split hybrid vehicles use planetary gears as power transmission and ratio devices, which are compact, efficient, and provide continuously variable gear ratio using a simple, low-cost and reliable structure. Many prominent hybrid vehicles currently on the market or under development are power-split hybrids. To take advantage of this type of hybrid power-train, it is beneficial to fully exp...

This work proposed a novel learning objective to train a deep neural network to perform end-to-end image pixel clustering. We applied the approach to instance segmentation, which is at the intersection of image semantic segmentation and object detection. We utilize the most fundamental property of instance labeling – the pairwise relationship between pixels – as the supervision to formulate the...

Abstract The combined use of the bicycle and train in Netherlands has risen steadily over past decade. However, little is yet known about underlying processes driving growth bike–train Netherlands. Are new trips replacing car trips, or are they primarily an extension existing travel cycling practices? present study investigates this question by exploring main trajectories uptake Randstad area. ...

This paper faces the human factor in driving and its consequences for road safety. It presents the concepts behind the development of a smartphone app capable of evaluating drivers’ performance. The app provides feedback to the driver in terms of a grade (between 0 and 10) depending on the aggressiveness and risks taken while driving. These are computed from the cumulative probability distribut...