Train localization and parting detection using data fusion

Acharya, Arunasish; Sadhu, Smita; Ghoshal, Tapan Kumar

doi:10.1016/j.trc.2010.03.010

Cited by 51 publications

(41 citation statements)

References 1 publication

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“…Vlad Doru Colceriu, Teodor Stefanut, Victor Bacu, Dorian Gorgan been extensively explored in a number of works, treating everything from turnout crossing direction [26], [8] and train parting [1], [24] detection and even train speed estimation [18].…”

Section: Signal Collection and Processingmentioning

confidence: 99%

“…It is here that all the fitness of all the variables of all the nucleotides are merged into a single normalized value in the range of [0,1]. The values are first merged among the variables of a certain type, i.e.…”

Section: Mutation and Crossover Of Signal Edit Distancesmentioning

confidence: 99%

“…Additionally, the idea of using acceleration and speed of train to calculate train location has been extensively researched in [18], [1] and by Scholten in [24], which also discussed the issue of train parting detection.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Annotation and Position Recall from Low Grade Sensorial Data in the Context of Topological Railway Maps

Colceriu¹,

Stefanut²,

Bacu³

et al. 2017

STUD INFORM CONTROL

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Describing high quality track maps is an important prerequisite for the localization algorithms, which depend on relatively unreliable and unsafe triangulation technologies, such as the Global Navigation Satellite System solutions available on modern mobile devices. The state of the art studies and experiments concerning the maps annotation methodologies have been focused on using large quantities of crowdsourcing sensorial data and open source topological maps. The objective is to produce a low-cost platform for regional railway operators, to visualize the track's geometry and to generate a track representation, which can be then recalled across multiple journeys. The paper aims to develop and experiment with a sensorial signature representation toward providing a flexible solution for signal alignment based on Genetic Algorithms. The alignment solution intends to describe the sensorial signals of the track line in a relevant manner that makes localization algorithms possible based on the nonlinear state estimation.

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Section: Signal Collection and Processingmentioning

confidence: 99%

Section: Mutation and Crossover Of Signal Edit Distancesmentioning

confidence: 99%

See 1 more Smart Citation

Annotation and Position Recall from Low Grade Sensorial Data in the Context of Topological Railway Maps

Colceriu¹,

Stefanut²,

Bacu³

et al. 2017

STUD INFORM CONTROL

View full text Add to dashboard Cite

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“…Therefore, identifying an appropriate configuration associated to a data combination strategy that meets railway requirements remains an issue. [1] discussed about a short-listing of data fusion options between GNSS signals and other sensors and then highlighted one of the advantages of the Eddy Current Sensor (ECS) compared to INS, which is the avoidance of velocity errors due to slip/slide.…”

Section: Introductionmentioning

confidence: 99%

RAMS analysis of GNSS based localisation system for the train control application

2014

2014 International Conference on Computing, Management and Telecommunications (ComManTel)

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Abstract-Global Navigation Satellite Systems (GNSS) is usually used in non-safety-related applications for various transportation modes. In order to employ GNSS (Global Navigation Satellite Systems) for train control application, numerous projects study if performance of GNSS can satisfy the railway safety requirements. In the railway context, multiple obstacles in local environments can cause different signal perturbations that lead to negative consequences on the position accuracy. Reinforcing the position quality for safety-related applications is necessary. In this context, the European Project -GaloROI is on going. Its working principle is based on the combination of data from GNSS receiver and an Eddy Current Sensor (ECS). According to the development process of GaLoROI system, the dependability and safety analysis is an essential mission in order to prove if it satisfy the safety railway standards. In this paper, we present a procedure for predictive RAMS analysis of a localisation unit based on the combination of GNSS & ECS for the application "control the braking loop". Besides capturing multiple local impacts on satellite signal quality, this approach allows us to analyse complex behaviours of the sensor fusion component and also to take into account the reliability parameters of hardware components.

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“…Also multiple sensors are used to measure a single physical quantity to minimize error produced by each sensor. A low-cost MEMS based accelerometer can be used along with GPS receiver to measure the velocity of an automobile [4], [5], [6]. MEMS accelerometers are being used in measuring acceleration, velocity and vibration of a vehicle [7].…”

Section: Introductionmentioning

confidence: 99%

CAN Network Based Longitudinal Velocity Measurement Using Accelerometer and GPS Receiver for Automobiles

Venkatesh¹,

Mathivanan²

2013

Measurement Science Review

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A design of Controller Area Network (CAN) based longitudinal velocity measurement system using MEMS accelerometer and GPS receiver is presented. CAN is a serial communication protocol which efficiently supports distributed control system with high level of security. The system consists of a master node and a slave node built around LPC1768 and LPC2129 microcontrollers respectively. The master and slave nodes are linked with CAN bus. The slave node gets velocity data from GPS receiver and transfers to the master node. The master node samples the accelerometer output, and saves the sampled data and the velocity data received from the slave node on a microSD card. A LabVIEW program has been developed to study the measured parameters in offline by applying a Kalman filter and computing the estimate of longitudinal velocity. Typical measurements with the present system in a standard driving maneuvers and computation of estimate of longitudinal velocity using the LabVIEW program are presented. The measurement system produces comparable results with the conventional meter.

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Train localization and parting detection using data fusion

Cited by 51 publications

References 1 publication

Annotation and Position Recall from Low Grade Sensorial Data in the Context of Topological Railway Maps

Annotation and Position Recall from Low Grade Sensorial Data in the Context of Topological Railway Maps

RAMS analysis of GNSS based localisation system for the train control application

CAN Network Based Longitudinal Velocity Measurement Using Accelerometer and GPS Receiver for Automobiles

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