Modal parameters identification of heavy-haul railway RC bridges: Experience acquired

Traditionally, it is not easy to carry out tests to identify modal parameters from existing railway bridges because of the testing conditions and complicated nature of civil structures. A six year (2007-2012) research program was conducted to monitor a group of 25 railway bridges. One of the tasks was to devise guidelines for identifying their modal parameters. This paper presents the experience acquired from such identification. The modal analysis of four representative bridges of this group is reported, which include B5, B15, B20 and B58A, crossing the Carajás railway in northern Brazil using three different excitations sources: drop weight, free vibration after train passage, and ambient conditions. To extract the dynamic parameters from the recorded data, Stochastic Subspace Identification and Frequency Domain Decomposition methods were used. Finite-element models were constructed to facilitate the dynamic measurements. The results show good agreement between the measured and computed natural frequencies and mode shapes. The findings provide some guidelines on methods of excitation, record length of time, methods of modal analysis including the use of projected channel and harmonic detection, helping researchers and maintenance teams obtain good dynamic characteristics from measurement data.

Human factors evaluation of a novel Australian approach for activating railway level crossings

There are currently 23,500 level crossings in Australia, broadly divided active level crossings with flashing lights; and passive level crossings controlled by stop and give way signs. The current strategy is to annually upgrade passive level crossings with active controls within a given budget, but the 5,900 public passive crossings are too numerous to be upgraded all. The rail industry is considering alternative options to treat more crossings. One of them is to use lower cost equipment with reduced safety integrity level, but with a design that would fail to a safe state: in case of the impossibility for the system to know whether a train is approaching, the crossing changes to a passive crossing. This is implemented by having a STOP sign coming in front of the flashing lights. While such design is considered safe in terms of engineering design, questions remain on human factors. In order to evaluate whether such approach is safe, we conducted a driving simulator study where participants were familiarized with the new active crossing, before changing the signage to a passive crossing. Our results show that drivers treated the new crossing as an active crossing after the novelty effect had passed. While most participants did not experience difficulties with the crossing being turned back to a passive crossing, a number of participants experienced difficulties stopping in time at the first encounter of such passive crossing. Worse, a number of drivers never realized the signage had changed, highlighting the link between the decision to brake and stop at an active crossing to the lights flashing. Such results show the potential human factor issues of changing an active crossing to a passive crossing in case of failure of the detection of the train.

Improving Near-Miss Event Detection Rate at Railway Level Crossings

Even though crashes between trains and road users are rare events at railway level crossings, they are one of the major safety concerns for the Australian railway industry. Nearmiss events at level crossings occur more frequently, and can provide more information about factors leading to level crossing incidents. In this paper we introduce a video analytic approach for automatically detecting and localizing vehicles from cameras mounted on trains for detecting near-miss events. To detect and localize vehicles at level crossings we extract patches from an image and classify each patch for detecting vehicles. We developed a region proposals algorithm for generating patches, and we use a Convolutional Neural Network (CNN) for classifying each patch. To localize vehicles in images we combine the patches that are classified as vehicles according to their CNN scores and positions. We compared our system with the Deformable Part Models (DPM) and Regions with CNN features (R-CNN) object detectors. Experimental results on a railway dataset show that the recall rate of our proposed system is 29% higher than what can be achieved with DPM or R-CNN detectors.

Investigating the interactions of road users and pedestrians in a dynamic rail level crossing environment

There are 23,500 level crossings in Australia. In these types of environments it is important to understand what human factor issues are present and how road users and pedestrians engage with crossings. A series of on-site observations were performed over a 2-day period at a 3-track active crossing. This was followed by 52 interviews with local business owners and members of the public. Data were captured using a manual-coding scheme for recording and categorising violations. Over 700 separate road user and pedestrian violations were recorded, with representations in multiple categories. Time stamping revealed that the crossing was active for 59% of the time in some morning periods. Further, trains could take up to 4-min to arrive following its first activation. Many pedestrians jaywalked under side rails and around active boom gates. In numerous cases pedestrians put themselves at risk in order to beat or catch the approaching train, ignored signs to stop walking when the lights were flashing. Analysis of interview data identified themes associated with congestion, safety, and violations. This work offers insight into context specific issues associated with active level crossing protection.

Tragedy on grade crossing: driver failure or systemic fragility?

In 2010, an accident occurred in Americana-SP, Brazil, involving two trains and one bus on a Grade Crossing, when 10 people died and 17 were injured including workers. This paper aims to analyze the accident using the Model of Analysis and Prevention of Work Accidents (MAPA). The method provides observation of work, interviews and analysis of documents to understand precedents of the event in the following stages: to understand the usual work from the involved people, the changes occurred in the system, the operation of barriers, managerial and organizational aspects. By the end, measures are suggested to avoid new occurrences. The accident took place at night in a site with insufficient lighting. The working conditions of bus drivers, train operators and watchmen are inadequate. There were only symbolic barriers (visual and acoustic signals) triggered manually by watchman upon train operator radio communication. The fragility of the barrier system associated to poor lighting and short time to trigger the signaling seem to play a critical role in the event. Contrary to the official report which resulted in guilt of the bus driver, the conclusion of the paper emphasizes the fragility of the safety system and the need of level crossing reproject.

Tragedy on grade crossing: driver failure or systemic fragility?

In 2010, an accident occurred in Americana-SP, Brazil, involving two trains and one bus on a Grade Crossing, when 10 people died and 17 were injured including workers. This paper aims to analyze the accident using the Model of Analysis and Prevention of Work Accidents (MAPA). The method provides observation of work, interviews and analysis of documents to understand precedents of the event in the following stages: to understand the usual work from the involved people, the changes occurred in the system, the operation of barriers, managerial and organizational aspects. By the end, measures are suggested to avoid new occurrences. The accident took place at night in a site with insufficient lighting. The working conditions of bus drivers, train operators and watchmen are inadequate. There were only symbolic barriers (visual and acoustic signals) triggered manually by watchman upon train operator radio communication. The fragility of the barrier system associated to poor lighting and short time to trigger the signaling seem to play a critical role in the event. Contrary to the official report which resulted in guilt of the bus driver, the conclusion of the paper emphasizes the fragility of the safety system and the need of level crossing reproject.

Risk assessment of the spanish national railway system

The principal risks in the railway industry are mainly associated with collisions, derailments and level crossing accidents. An understanding of the nature of previous accidents on the railway network is required to identify potential causes and develop safety systems and deploy safety procedures. Risk assessment is a process for determining the risk magnitude to assist with decision-making. We propose a three-step methodology to predict the mean number of fatalities in railway accidents. The first is to predict the mean number of accidents by analyzing generalized linear models and selecting the one that best fits to the available historical data on the basis of goodness-offit statistics. The second is to compute the mean number of fatalities per accident and the third is to estimate the mean number of fatalities. The methodology is illustrated on the Spanish railway system. Statistical models accounting for annual and grouped data for the 1992-2009 time period have been analyzed. After identifying the models for broad and narrow gauges, we predicted mean number of accidents and the number of fatalities for the 2010-18 time period.

Alta velocidad ferroviaria en California(USA): cuarta parte (IV) Fresno-Sacramento (Roseville) = High speed railway in California (USA): fourth part (IV) Fresno-Sacramento (Roseville)

Implantación de la Red de Alta velocidad Ferroviaria en California. Tramo Fresno-Sacramento. El presente articúlo es la cuarta parte de la serie "Alta Velocidad Ferroviaria en California (CHSRS)". Recoge la Alternativa "Stockton Arch", que el Proyecto FARWEST presenta a la prevista por la Authority (CHSRA), para la Línea HSR Fresno-Sacramento, en programación y en trazado. Éste discurre, desde la gran Terminal de Fresno (implantada en las afueras al suroeste de la ciudad) por el segmento sur del "mar interior" (que en el Terciario Superior ocupaba el actual Valle Central), hasta Stockton, y por el segmento norte, hasta Sacramento. El Paet de Ripperdan (~ pK 40) queda conectado por carretera con el PAET de Oroloma de la Línea HSR Fresno-San Francisco (Golden Gate Alternative). La última parte del trazado de la Línea HSR Fresno-Sacramento (Stockton Arch Alternative), coincide en alineación y rasante con la Línea HSR San Francisco-Sacramento (Crossing Bay Alternative) a la altura de Roseville, donde se emplaza la gran terminal norte de la red de California, desde la que se unirá ésta con la de Nevada, por Reno. This article forras the fourth part of the series entitled "High Speed Railway in California (CHSRS)". It addresses the "Stockton Arch" alternative, which the FARWESTProjectpresents in scheduling and in alignment as to that provided for by the Authority (CHSRA) for the Fresno-Sacramento HSR Line. The latter runs from the grand Fresno Terminal (located in the outskirts to the southwest ofthe city) through the south segment ofthe "inland sea" (which oceupied the current Central Valley in the Upper Tertiary) to Stockton and through the north segment to Sacramento. The Ripperdan TSAP (post ofpassing and stabling trains), — kilometer point 40, conneets with the Oroloma TSAP ofthe Fresno-San Francisco HSR Line (Golden Gate Alternative) by road. The last part of the Fresno-Sacramento HSR Line alignment (Stockton Arch Alternative), coincides in alignment and grade with the San Francisco-Sacramento HSR Line (Crossing Bay Alternative) at Roseville, where the great north terminal ofthe California network is located, from which the latter will be linked with Nevada s network through Reno.

The development of an improved railroad-highway grade crossing risk factor. Executive summry report.

Ohio Department of Transportation, Columbus

The development of an improved railroad-highway grade crossing risk factor. Final report.

Ohio Department of Transportation, Columbus

Methods for evaluation of rail-highway grade crossing improvements. Final report.

Mode of access: Internet.

Rail-highway crossing resource allocation model. Final report.

Federal Railway Administration, Office of Safety, Washington, D.C.

Railroad safety: status of efforts to improve railroad crossing safety.

Mode of access: Internet.

Railroad grade crossing passive signing study. Final report.

Federal Highway Administration, Office of Research, Washington, D.C.

Rail-highway crossing safety fatal crash and demographic descriptors.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.