Adding Technological Solutions for Safety Improvement at Level Crossings: A Functional Specification

Bahloul, Khaled; Defossez, François; Ghazel, Mohamed; Collart-Dutilleul, Simon

doi:10.1016/j.sbspro.2012.06.1113

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…Drivers sometimes are trying to weave around the close half-barriers at LCs. These types of accidents are the second most common after over speeding when approaching the LC [15], [16]. To prevent this type of accident, two half-barriers can be replaced by two full barriers or four half-barriers.…”

Section: Lc Accidents and Types Of Users Involvedmentioning

confidence: 99%

“…The LC with a passive warning system has higher accident rates, but a LC with barriers and flashing light has a lower accident rate [4], [18]- [20]. The major reasons of accidents at LCs are distraction of car drivers or pedestrians, impatience, and the high speed of vehicles approaching LCs [15]. These users' behaviour is the reason for accidents in 95% of cases [7].…”

Section: Lc Accidents and Types Of Users Involvedmentioning

confidence: 99%

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Investigation of Factors Influencing the Efficiency of Railways in Terms of Safety at Level Crossings

Watson

Ali

Bayyati

2020

WIT Transactions on the Built Environment

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Road traffic accidents are in the top ten of all deaths worldwide. Regarding railways, in the EU there is one person killed or seriously injured every day in serious accidents involving level crossings (LCs). The number of accidents is almost unchanged in the last ten years despite the huge efforts that railways have made. There is a need to look at the factors that contributed to the occurrence of accidents at LCs beyond the drivers and pedestrian behavior or technical issues. The reported research investigates the efficiency of railways in terms of accident risk at LCs in 24 countries of the EU. It evaluates the efficiency of railways by applying the Data Envelopment Analysis (DEA) method and identifying the factors that influence the efficiency score of railways in terms of accident risk using the IBM SPSS. The results show that GDP per capita and density of population in the selected countries have a strong influence on the efficiency of railways. The expected outcome of this research may contribute to better understanding of the factors that influence the efficiency score of railways in term of accident risk at LCs and develop preventative measures.

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Section: Lc Accidents and Types Of Users Involvedmentioning

confidence: 99%

Section: Lc Accidents and Types Of Users Involvedmentioning

confidence: 99%

Investigation of Factors Influencing the Efficiency of Railways in Terms of Safety at Level Crossings

Watson

Ali

Bayyati

2020

WIT Transactions on the Built Environment

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“…Hence, these problems necessitate a search for a cheap and safe solution that covers all level crossing systems related to level crossings. Bahloul et al [2] have suggested some technological solutions to improve safety at level crossings. They studied on the PANsafer project whose purpose is to improve safety at level crossings and carried out statistical analysis using accident/incident databases and studied on the human behaviour to determine potential risky situations.…”

Section: Introductionmentioning

confidence: 99%

“…2 and 35 m/s 2 at 40 km/h and it takes about 40 seconds. Besides at 60 km/h, vibration values change between about 20 m/s 2 and 140 m/s 2 and it takes about 22 seconds.…”

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confidence: 99%

Vibration analyses of railway systems using proposed neural predictors

Yıldırım¹,

Sevim²,

Kalkat³

2023

NNW

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Due to travelling on railway systems; there are many gaps and problems in cross areas. Therefore; it is necessary and very important to establish intelligent crossing systems in such areas. On the other hand, it is not possible for trains to stop or brake immediately against an obstacle due to their high speed and inertia. For this reason, it is necessary to work on the safety/warning of the other main factors and necessities (pedestrians and vehicles) in level crossings. This experimental investigation is carried out by using an experimental real-time train and crossing systems. The main vibration parameters are analysed by using neural networks. First, the dynamics of the train-rail system related to level crossings are examined, and the vibrations created by the train on rails are measured at different speeds. Then three types of proposed neural networks predictors, Levenberg-Marquardt backpropagation (LMBP), scaled conjugate gradient backpropagation (SCGB) and BFGS quasi-Newton backpropagation (BFGS) are used to predict the vibration of the train-rail system. From the results, it is seen that the proposed LMBP is more suitable for analysing and predicting the vibration of the train-rail system. It is clear that the speeds of the trains approaching the level crossing can be estimated from the vibration of the trains on the rails.

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“…This study has identified the principal technical challenges related to level crossings in developing high-speed rail systems so as to facilitate the planning, development, construction, and operation of new systems. The purpose of An availability evaluation of the Moroccan level crossing system using Fault Tree modelling and importance measures 3 3 the work discussed in (Bahloul, Defossez, Ghazel, & Simon, 2012) was to improve safety of level crossing by analyzing accident/incident data bases and integrating human behaviour using UML diagrams, in order to bring out the main functions of level crossing protection system which are concerned by different actors of the project. In (M.EASA, 1994), the authors presented a probabilistic method that accounted for the variations of the component design variables of sight distance at level crossings when computing system reliability.…”

Section: Introductionmentioning

confidence: 99%

A reliability evaluation of the Moroccan level crossing system using fault tree modelling and importance measures

Boudnaya¹,

Mkhida²,

Sallak³

2016

Journal Européen des Systèmes Automatisés

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In this paper, we model the Feared Event (Collision between train and vehicle) of the Moroccan level crossing system using Fault Trees, in order to evaluate the unreliability of the system and to identify the critical components. First, a fault tree analysis to evaluate the system unreliability over the time is proposed. The human factors and components failure rates are taken into account. Then, an importance measures study is proposed to identify the critical components in the level crossing system.

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Adding Technological Solutions for Safety Improvement at Level Crossings: A Functional Specification

Cited by 6 publications

References 2 publications

Investigation of Factors Influencing the Efficiency of Railways in Terms of Safety at Level Crossings

Investigation of Factors Influencing the Efficiency of Railways in Terms of Safety at Level Crossings

Vibration analyses of railway systems using proposed neural predictors

A reliability evaluation of the Moroccan level crossing system using fault tree modelling and importance measures

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