In this paper, we define features that can be computed along audio signals in order to assess the level of auditory attention on a normalized scale, i.e. between 0 and 1. The proposed features are derived from a time-frequency representation of audio signals and highlight salient regions such as regions with high loudness, temporal and frequency contrasts. Normalized auditory attention levels c...

The management and extraction of structured knowledge from large video recordings is at the core of urban/environment planning, resource optimization. We have addressed this issue for the networks of camera deployed in two underground systems in Italy. In this paper we show how meaningful events are detected directly from the streams of video. Later in an off-line analysis we can set this infor...

Accurate short-term forecast of metro outbound passenger flow is great significance for real-time traffic control and guidance. A good method should have high accuracy, timeliness practicality. Based on deep learning ensemble technology, this study proposes an end-to-end hybrid architecture that integrates multiple features. The innovatively bagging strategy transfer with learning, includes ext...

In this paper we investigate the problem of drawing metro maps which is defined as follows. Given a planar graph G of maximum degree 8 with its embedding and vertex locations (e.g. the physical location of the tracks and stations of a metro system) and a set L of paths or cycles in G (e.g. metro lines), draw G and L nicely. We first specify the niceness of a drawing by listing a number of hard ...

The metro door system is one of the high failure rate subsystems of metro trains. The Failure Mode, Effects and Criticality Analysis (FMECA) method is applied to analyze the reliability of metro door system in this paper. Firstly, failure components of the door are statistically analyzed, and the major failure components are determined. Secondly, failures are classified according to their impac...

In this paper, we propose a novel query language for video indexing and retrieval that (1) enables to make queries both at the image level and at the semantic level (2) enables the users to define their own scenarios based on semantic events and (3) retrieves videos with both exact matching and similarity matching. For a query language, four main issues must be addressed: data modeling, query f...

This paper addresses a scheduling problem arising in the real time management of a metro rail terminus. It mainly consists in routing incoming trains through the station and scheduling their departures with the objective of optimizing punctuality and regularity of train service. The purpose of this work is to develop an automated train traffic control system, able to directly implement most tra...

A metro-line crossing minimization problem is to draw multiple lines on an underlying graph that models stations and rail tracks so that the number of crossings of lines becomes minimum. It has several variations by adding restrictions on how lines are drawn. Among those, there is one with a restriction that line terminals have to be drawn at a verge of a station, and it is known to be NP-hard ...

There has been an increase in the use of video surveillance and monitoring in public areas to improve safety and security. Change detection and crowding/congestion density estimation are two sub-tasks in a subway monitoring system. We propose a method that decomposes this problem into two steps. The first step consists of a change detection algorithm that distinguishes the background from the f...

Topological structure vulnerability assessment approach for Urban Metro Networks (UMNS) was proposed in order to decrease the impact caused by incidents. Failure scale of stations and sections random failure and target attacks was evaluated. The results show that UMNS is more vulnerable to target attacks on stations than random failure on stations. But UMNS is less vulnerable to target attacks ...