Self Positioning System of Running Trains Using GPS

Tsujino, Shodo; Maki, Yasutaka; Sasaki, Katsuhiko; Enomoto, Mamoru

doi:10.1299/jsmetld.2002.11.269

Cited by 1 publication

(2 citation statements)

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“…The ADG cumulative distance is then continuously added to the vehicle position while the train is running; however, when a beacon is detected within the detection range of the reference beacon, the point information about the vehicle position is corrected to the point information linked to that reference beacon as shown in Fig. 1 (1) and (2). Then, the detection range where the next reference beacon is to be detected is set, and even if a beacon is detected before the train reaches that detection range, it is not used for correction.…”

Section: Vehicle Position Correction With Beaconsmentioning

confidence: 99%

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<b>Development of Train Positioning System Using Track Curvature Collation Applied with Spatial Filtering</b>

Harada¹,

Maki²,

Ishiguri³

et al. 2020

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The train positioning systems using of the ATS (Automatic Train Stop) beacons on tilting train requires ATS beacon position and the on-board database to be updated continuously in accordance with each new ATS beacon location. Under the method proposed, track curvature data calculated by dividing the yaw rate of the carbody by the running speed are held in the on-board database, and the position of the train is detected on the basis of comparison of track curvature data during running. In this case, applying a spatial filter improves detection accuracy and reduces database update frequency. This paper presents the outline of the system and its detection accuracy.

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Section: Vehicle Position Correction With Beaconsmentioning

confidence: 99%

“…On the other hand, with the method that uses track curvature, position correction can take place every time the vehicle passes a curve because locations where the curvature changes will be feature points, making the method suitable for controlling tilting vehicles that run in sections with many curves [1,2].…”

Section: Introductionmentioning

confidence: 99%