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Axle-Counter Fault Detection Patents: Who Leads, Where Gaps Are 2026

Axle-Counter Fault Detection Patents: Who Leads, Where Gaps Are 2026
https://www.patsnap.com/resources/blog/rd-blog/signaling-and-train-control-railway-axle-counter-fault-detection-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Rail & Transit Systems
Railway Axle-Counter Fault Detection Patents: Filing Trends and Open Claim Space
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82
Published Records
80%
Top-5 Share of All Records
US
Leading Jurisdiction
9
Active Filers Ranked

Top-5 share is the combined record count of the five largest assignees divided by all 82 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This dataset tracks 82 published records matching axle-counter fault detection, track vacancy detection, and axle counting diagnostics within railway signaling and train control. It spans filings from 2015 through the 2026-07-31 data cut-off, capturing the period in which axle-counter systems moved from standalone fault indicators toward integrated components of automatic train control architectures like the one described in US9561814B2.

The scope is narrow by design: it isolates the intersection of axle-counting hardware diagnostics and the broader signaling/train-control claim space, rather than every rail safety patent. That narrowness is why concentration among a small set of assignees is so pronounced, and why the technology composition skews so heavily toward a single IPC subclass.

Filing activity and technology composition, 2015–2026
  1. 1SIEMENS MOBILITY GMBH22
  2. 2HITACHI RAIL GTS DEUTSCHLAND GMBH14
  3. 3THALES MANAGEMENT & SERVICES DEUTSCHLAND GMBH12
  4. 4SIEMENS MOBILITY INC10
  5. 5SIEMENS RAIL AUTOMATION8
  6. 6SIEMENS AG6
  7. 7PRODES GMBH4
  8. 8QAMCOM TECH AB4
  9. 9SIEMENS MOBILITY GMBH DE2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Signaling & Train Control — Railway Axle-Counter Fault Detection Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Numbers

Filing trend and technology composition

Two views of the same 82 records: how filing activity moved year over year, and which IPC subclasses carry the claims.

Filing trend, 2017–2026

Filings ran at 4 in 2017, rose to a peak of 28 in 2018, and have tapered since toward 0 in the partial 2026 year. With no four complete post-lag years to compare, no growth rate can be stated reliably — treat the recent taper as incomplete data, not a real decline.

Filing trend, 2017–20260815233042017282018201920202021202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

B61L (railway traffic control) covers 92.7% of the 82 records, confirming this is fundamentally a signaling-control dataset. The remaining subclasses — radar/positioning (4.9%), transmission (2.4%), and single-record appearances in wireless networking, digital data processing, motor vehicle steering and even horticulture — each touch fewer than five records, meaning claim density outside core B61L logic is thin.

IPC subclass compositionB61L · Railway traffic control7692.7%G01S · Radar, sonar & positioning44.9%H04B · Transmission (general)22.4%A01G · Horticulture & forestry11.2%B62D · Motor vehicles & steering11.2%G06F · Electric digital data processi…11.2%H04W · Wireless communication networks11.2%

Shares are the percentage of the 82 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Signaling & Train Control — Railway Axle-Counter Fault Detection Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Most-cited records in this landscape

Representative Filing
US9561814B22017-02-07

US9561814B2 — Method for operating an automatic train control system and automatic train control system

SIEMENS MOBILITY GMBH

A method operates an automatic train control system built from an electronic signal box, a balize and a frequency track circuit. The system is configured from components of the European train control system and the frequency track circuit without substantial additional development, with the balize acted upon by indicator messages via an actuation module for modular elements carrying an addressable memory for the number of currently free block route segments.Filed by Siemens Mobility; illustrates how axle-counter-adjacent block-occupancy signaling was integrated into ETCS-compatible architectures.

US9561814B2 — patent drawing 1US9561814B2 — patent drawing 2
View full filing
Highest-citation records
#Publication no.Patent titleCitations
1US20210016812A1Train control system and train control method including virtual train stop14
2US20180306901A1Radar system and method with auxiliary channel for interference detection12
3US20230022877A1Method and monitoring system for determining a position of a rail vehicle7
4US20190168791A1System and method for track occupancy determination7
5EP3222490A1System and method for managing a guided vehicle movement authority7
6US20210237784A1Ultra-wideband work train protection6
7US20140103167A1Train control system with pulse-code-modulated cab signaling6
8US11529981B2Ultra-wideband based vital train tracking5
9US20210237787A1Ultra-wideband based vital train tracking5
10WO2017069681A1Radar system and method with auxiliary channel for interference detection3

Citation counts reflect influence within the searched corpus and skew toward older filings; treat them as a signal of what shaped later claim drafting, not of current commercial importance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Signaling & Train Control — Railway Axle-Counter Fault Detection Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Analysis

What the filing pattern signals

Reading concentration, timing and citation data together points to where the field is settled and where it is still open.

Concentration
80.5%
of 82 records held by top 5

A small supplier cluster controls most of the claim space

With 66 of 82 records held by five assignees, and the full ranked group of 9 companies accounting for all 82, this is a field shaped by established rail signaling vendors rather than new entrants. New filers face dense prior art in core block-occupancy and fault-flagging claims.

Based on the assignee ranking of 82 families.
Timing
28 in 2018
peak filing year

Activity peaked in 2018, then eased

Filings rose from 4 in 2017 to a peak of 28 in 2018 before tapering toward the 2026 partial year. Because publication trails filing by about 18 months, the most recent two years almost certainly understate real filing activity rather than reflecting an actual slowdown.

Filing trend, 2017–2026 (partial).
Technology mix
92.7%
of records in B61L

Claims are overwhelmingly control-logic, not sensing hardware

B61L (railway traffic control) covers the large majority of records, while radar/positioning and wireless transmission each register in the single digits. That imbalance suggests axle-counter fault detection has been claimed mainly as a control-system function rather than as a distinct sensing or diagnostics technology.

IPC subclass shares, 82 records in scope.
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to signaling & train control — railway axle-counter fault detection patent landscape, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Signaling & Train Control — Railway Axle-Counter Fault Detection Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The dataset points to a concentrated core and several thin branches — the next step is deciding whether to compete inside the core or build around its edges.

Map the leader's claim boundaries

With one assignee holding 22 of 82 records, understanding exactly what its core train-control claims cover — and what they leave open — determines whether a new filing has room in B61L or must sit adjacent to it.

Explore claim mapping in Eureka

Stress-test the under-claimed branches

Radar-based interference detection, wireless telemetry and data-fusion approaches each carry only one or two records. That could mean genuine white space, or simply that the searched terms miss related filings elsewhere — worth verifying before committing R&D.

Run a freedom-to-operate check in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Signaling & Train Control — Railway Axle-Counter Fault Detection Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Signaling & Train Control — Railway Axle-Counter Fault Detection Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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