Road Tests of the Positioning Accuracy of INS/GNSS Systems Based on MEMS Technology for Navigating Railway Vehicles

Дорожные испытания точности позиционирования систем INS/GNSS на основе MEMS-технологии для навигации железнодорожных транспортных средств
Mariusz Specht, Cezary Specht, Paweł Dąbrowski, Krzysztof Czaplewski, L. Smolarek, Oktawia Lewicka
2020-08-29

INS/GNSS systemsMEMS technologydual GNSS receiverspositioning accuracyrailway navigation
Thanks to the support of Inertial Navigation Systems (INS), Global Navigation Satellite Systems (GNSS) provide a navigation positioning solution that, in the absence of satellite signals (in tunnels, forest and urban areas), allows the continuous positioning of a moving object (air, land and sea). Passenger and freight trains must, for safety reasons, comply with several formal navigation requirements, particularly those that concern the minimum acceptable accuracy for determining their position. Depending on the type of task performed by the train (positioning a vehicle on a route, stopping at a turnout, stopping at a platform, monitoring the movement of rolling stock, etc.), the train must have positioning systems that can determine its position with sufficient accuracy (1–10 m, p = 0.95) to perform the tasks in question. A wide range of INS/GNSS equipment is currently available, ranging from very costly to simple solutions based on Micro-Electro-Mechanical Systems (MEMS), which, in addition to an inertial unit, use one or two GNSS receivers. The paper presents an assessment of the accuracy of both types of solutions by testing them simultaneously in dynamic measurements. The research, due to the costs and logistics complexity, was made using a passenger car. The surveys were carried out in a complex way, because the measurement route was travelled three times at four different speeds: 40 km/h, 80 km/h, 100 km/h and 120 km/h on seven representative test sections with diverse land development. In order to determine the positioning accuracy of INS devices, two precise GNSS geodetic receivers (2 cm accuracy, p = 0.95) were used as a reference positioning system. The measurements demonstrated that only INS/GNSS systems based on two receivers can meet the requirements of most railway applications related to rail navigation, and since a solution with a single GNSS receiver has a much lower positioning accuracy, it is not suitable for many railway applications. It is noted that considerable differences between the standards defining the navigation requirements for railway applications. For example, INS/GNSS systems based on two receivers meet the vast majority of the expectations specified in the Report on Rail User Needs and Requirements. However, according to the Federal Radionavigation Plan (FRP), it cannot be used in any railway application.
1
Measurements were conducted three times at 40, 80, 100, and 120 km/h across seven test sections representing diverse land-development conditions.
2
Only INS/GNSS systems using two GNSS receivers met the accuracy requirements for most railway navigation applications.
3
Single-receiver INS/GNSS solutions showed substantially lower positioning accuracy and were unsuitable for many railway applications requiring 1–10 m accuracy at p = 0.95.
4
The study evaluates MEMS-based INS/GNSS positioning accuracy through simultaneous dynamic road tests using single- and dual-GNSS-receiver configurations.
5
Two precise GNSS geodetic receivers, with 2 cm accuracy at p = 0.95, served as the reference positioning system.

MEMS-based INS/GNSS positioning systems for railway vehicle navigation

Positioning accuracy under dynamic road-test conditions, including the effects of receiver configuration, vehicle speed, and diverse test environments

Publication Details
Publication Date
2020-08-29
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Mariusz Specht
Cezary Specht
Paweł Dąbrowski
Krzysztof Czaplewski
L. Smolarek
Oktawia Lewicka
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%