Positive Train Control Patents: Leaders, Trends & White Space 2026
A data-backed look at positive train control train detection patents: 29 records, filing trends since 2015, IPC composition, the ranked assignee leader board and where claim space remains open.
What this landscape covers
Positive train control (PTC) train detection covers the sensing, signalling and control logic that lets a train system know what track is occupied and enforce speed or stopping restrictions accordingly. This landscape draws on 29 published records classified under B61, B60L or B61L and matching search terms for positive train control and train detection, spanning filings from 2015 through the 2026 data cut-off. Because publication trails filing by roughly 18 months, the most recent filing years in this window are understated.
The technology composition is heavily skewed toward railway traffic control (B61L), with much thinner activity in braking, propulsion, digital transmission, positioning and data-processing classes. Read together with the assignee ranking and citation data, the picture is one of a dominant filer and a dominant IPC branch, with a long tail of single-record entrants and several lightly claimed adjacent technical routes.
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Filing trends and technology composition
The 29 records in scope span 2015 through the 2026 cut-off, with filing activity concentrated around a single peak year and classification overwhelmingly weighted toward one railway-traffic-control subclass.
Filing activity by year
Recorded filings rose from 2 in 2017 to a peak of 8 in 2018, tapering afterward toward the 2026 cut-off, which is partial. Because publication typically lags filing by around 18 months, the most recent years understate actual filing activity and should not be read as a decline.
Technology composition by IPC subclass
B61L (railway traffic control) appears in 93.1% of the 29 records in scope, making it by far the dominant classification; B60L, B60T and H04L each appear in 6.9%, and B61K, G01S, G06F and G08G each appear in 3.4%. Because a single record can carry multiple IPC classes, these shares sum to more than 100%.
Shares are the percentage of the 29 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Positive Train Control Train Detection Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about positive train control train detection patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaKey patents shaping the field
WO2025096383A1 — Multi-purpose radio circuit card for managing rail consists radio communications
Systems and methods for operating a multi-purpose radio circuit (MPRC) on a locomotive. The invention establishes a connection between the MPRC and a positive train control terminal on the locomotive, with the yard-communication function disabled and a wireless-gateway function enabled while the train consist is en route to a switch yard. On detecting that the locomotive is entering the switch yard's geofence, the system re-enables the yard-communication function, switching the radio's operating role based on location.Filed by Amsted Rail Company, Inc.; published 2025-05-08.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20130334373A1 | Method for detecting the extent of clear, intact track near a railway vehicle | 109 |
| 2 | US20100256843A1 | System for Vital Brake Interface with Real-Time Integrity Monitoring | 73 |
| 3 | US20130018534A1 | Methods and systems for detection and notification of blocked rail crossings | 64 |
| 4 | US20180222505A1 | Positive train control system and apparatus employing RFID devices | 60 |
| 5 | US9102341B2 | Method for detecting the extent of clear, intact track near a railway vehicle | 47 |
| 6 | US6655639B2 | Broken rail detector for communications-based train control and positive train control applications | 38 |
| 7 | US20020113170A1 | Broken rail detector for communications-based train control and positive train control applications | 36 |
| 8 | CN110536822A | 采用RFID设备的积极火车控制系统和装置 | 14 |
| 9 | US10501102B2 | Positive train control system and apparatus employing RFID devices | 13 |
| 10 | US8909396B2 | Methods and systems for detection and notification of blocked rail crossings | 13 |
Ranked by citation count within this 29-record corpus; citation counts favour older filings and should be read as historical influence, not current commercial weight.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for a filing decision
These figures are drawn directly from the 29-record dataset behind this page; each card ties one dataset figure to a practical decision a filer or licensing team would need to make.
Portfolio depth is uneven across the ranked field
The ranked assignee list covers 10 companies. The leader holds 14 records; the fifth-ranked holder has 2, and the tenth has 1. That drop-off means one organisation has built out sustained coverage while most of the rest of the ranking reflects a single filing or two.
Railway traffic control absorbs almost all filing activity
B61L accounts for 93.1% of the 29 records in scope, dwarfing every other subclass present. Anything drafted as track-occupancy, block-control or train-presence logic is entering the most contested part of this landscape.
Influence is concentrated in older clear-track detection filings
The two most-cited records in this corpus — 109 and 47 citations — both cover detecting the extent of clear, intact track near a railway vehicle. High citation counts inside a searched corpus favour older filings because they have had longer to accumulate references.
Activity has not shown a clear rising trend since the 2018 peak
Recorded filings ran from 2 in 2017 to a peak of 8 in 2018, and there are too few complete years after accounting for publication lag to state a growth rate. The most recent years in the window will understate true activity until later publications catch up.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to positive train control train detection patent landscape, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Kyosan Electric Manufacturing Co., Ltd. | East Japan Railway Company | 1 |
| PAWLAK MICHAEL R | METZGER THOMAS R | 1 |
| PAWLAK MICHAEL R | KLINCK JR WARREN H | 1 |
| PAWLAK MICHAEL R | BERGSTEIN HARVEY | 1 |
The dataset records 4 co-assignee pairs, the strongest involving a joint Japanese rail-operator and equipment-maker filing and two filings linking individual named inventors — a sign that most of this field's activity is single-assignee rather than joint-development work.
Where to take this analysis
The figures above establish the shape of the field; the next questions are specific to a given portfolio or filing decision and depend on claim-level detail this page does not render.
Check freedom to operate against the top-cited claims
The two highest-cited records in this corpus both cover clear-track detection logic. Before drafting in that space, run a claim-scope comparison against those filings and their families.
Run a freedom-to-operate check in EurekaTrack the leading assignee's newer filings
The ranked leader holds 14 of the 29 records. Watching its continuation and newer filing activity is the fastest way to see where that portfolio is heading next.
Set up portfolio monitoring in EurekaScope a claim in the thinly filed branches
Positioning, digital-processing and traffic-control-software classes each sit at 3.4% of records. Drafting a first claim there means checking adjacent art outside this dataset's core B61L cluster.
Explore white-space claim drafting in EurekaFrequently asked questions
The dataset used for this landscape contains 29 published records classified under B61, B60L or B61L and matching the positive train control / train detection search terms, spanning 2015 through the 2026 data cut-off. That count reflects publications, not underlying invention families filed elsewhere without publication, and the most recent year is necessarily incomplete because publication lags filing by roughly 18 months. Treat 29 as the searchable, classified universe for this specific query, not as a claim about total industry activity.
The assignee ranking behind this page lists 10 companies, with the leader holding 14 records and the tenth-ranked holder at 1. That is a steep drop from first to fifth place, which sits at 2 records, indicating one organisation has built meaningfully deeper portfolio coverage than the rest of the ranked field. Because this ranking counts records rather than granted claims, it should be read as a filing-activity signal, not a measure of legal strength.
Railway traffic control (IPC class B61L) dominates, appearing in 93.1% of the 29 records in scope, which confirms that most filings are framed around track-occupancy, block-signalling or train-detection control logic rather than adjacent mechanical or communications systems. Electric vehicle propulsion (B60L), braking (B60T) and digital transmission (H04L) each appear in only 6.9% of records, and positioning, data processing and traffic-control software classes sit at 3.4% each. That distribution means claim space inside B61L is comparatively dense while several adjacent technical framings remain lightly claimed.
US20130334373A1, "Method for detecting the extent of clear, intact track near a railway vehicle," is the most-cited record in this corpus with 109 citations, followed by US20100256843A1, a vital brake-interface monitoring system, at 73 citations. High citation counts inside a searched corpus tend to favour older filings simply because they have had more time to accumulate references, so treat these as signals of documented influence within this dataset rather than as evidence of current commercial dominance.
The IPC subclasses with the lowest record share — G01S (positioning/radar), G06F (digital data processing) and G08G (traffic control systems), each at 3.4% of the 29 records — carry the least filing density in this dataset, alongside H04L (digital transmission) at 6.9%. Low density signals unoccupied claim space rather than a technology that has been tried and failed, since filing volume reflects where applicants have chosen to claim, not where a route works. A new entrant evaluating this space should treat those thin branches, particularly sensor-fusion positioning and radio-gateway control logic, as the areas most worth a freedom-to-operate check before drafting.
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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.