ATO Train Control Patents: Leaders, Trends & White Space 2026
Filing growth compares 2021 (145 records) with 2024 (99) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 2,059 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This landscape maps 2,059 published patent records filed between 2015 and mid-2026 that combine automatic train operation, driverless or automated railway control with railway signaling and rail safety claim language. It spans onboard automatic train protection devices, wayside signaling infrastructure, positioning and sensor fusion for train location, and the control-system software that turns those inputs into movement authority. Records are drawn from filings at receiving offices including China, the United States, Japan, Europe and WIPO, giving a cross-jurisdictional view of where this technology is being protected.
Because publication typically lags filing by around 18 months, the most recent one to two years in any trend chart will understate actual filing activity; treat 2025 and 2026 figures as still filling in rather than as a genuine slowdown.
Filing trends and technology composition
The dataset splits cleanly by class and by geography, showing where the claim density actually sits rather than where the topic is merely discussed.
A 2022 peak, then a pullback from a high base
Filings rose from 92 in 2017 to a peak of 194 in 2022. Using only complete years, the count fell from 145 in 2021 to 99 in 2024, a 32% decline over that span — a retreat from an unusually active period rather than evidence the field is winding down.
Signaling claims dominate, propulsion and braking follow
B61L (railway traffic control) appears on 71.7% of the 2,059 records in scope, making it the default claim category for this topic. B60L (electric vehicle propulsion, 21.0%) and B60T (vehicle brakes and braking, 7.3%) trail well behind, with G06F, H04L, G05B and G06N together showing that software, communications and AI-based control are present but still a minority share of the corpus.
Shares are the percentage of the 2,059 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Signaling & Train Control — Automatic Train Operation Patent Landscape with Eureka
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Try EurekaRepresentative and most-cited filings
CTCS-3 onboard automatic train operation device (EP2746132B1)
The filing describes a CTCS-3 onboard device for automatic train operation and a matching rail transit vehicle. An interface module connects a train control command generating module to an automatic train protection device and to the train control interface, letting the command module exchange information with protection and control systems through a single interface layer rather than direct point-to-point links.Filed by Beijing National Railway Research & Design Institute, published 2016-08-03.

| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US6135396A | System and method for automatic train operation | 285 |
| 2 | US5398894A | Virtual block control system for railway vehicle | 234 |
| 3 | US20100312461A1 | System and method for vitally determining position and position uncertainty of a railroad vehicle employing d… | 152 |
| 4 | US20040064235A1 | Vehicle dynamics production system and method | 144 |
| 5 | US20110006912A1 | Track Worker Safety System | 143 |
| 6 | US6865454B2 | Train control system and method of controlling a train or trains | 136 |
| 7 | US5364047A | Automatic vehicle control and location system | 135 |
| 8 | US20060244830A1 | System and method of navigation with captured images | 134 |
| 9 | US6400281B1 | Communications system and method for interconnected networks having a linear topology, especially railways | 131 |
| 10 | US5896017A | Model train locomotive with doppler shifting of sound effects | 127 |
Citation counts favour older filings that have had more time to accumulate citations within the searched corpus; read them as a signal of influence on later filers, not as a ranking of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three patterns stand out once the ranking, the class split and the trend line are read together.
The top of the field is dense, the tail is long
Five assignees account for 30.2% of all 2,059 records in scope, and the top 10 combine for 46.4%. Below that the ranking runs a full 100 companies deep, meaning more than half of the field's activity sits with smaller and single-filing entrants rather than a handful of majors.
Signaling claims are the default, not a niche
B61L railway traffic control touches 71.7% of records in this corpus, making it the class where new filings are most likely to run into existing claim territory. B60L propulsion and B60T braking are present but occupy a much smaller share, and AI-based control under G06N sits at just 3.3%.
A pullback from a 2022 peak, not a collapse
Filings climbed to a peak of 194 in 2022 before easing to 99 by 2024, a complete-year decline of 32% from the 2021 figure of 145. Given the 18-month publication lag, the true 2025-2026 picture will only become clear once those years finish filling in.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to signaling & train control — automatic train operation patent landscape, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Toshiba Corporation | Toshiba Infrastructure Systems & Solutions Corporation | 30 |
| Traffic Control Technology Co., Ltd. | Traffic Control Signal Technology (Beijing) Co., Ltd. | 6 |
| Hitachi, Ltd. | Hitachi Technical Engineering Co., Ltd. | 5 |
| Nippon Signal Co., Ltd. | Kyosan Electric Manufacturing Co., Ltd. | 4 |
| Nippon Signal Co., Ltd. | Daido Signal Co., Ltd. | 4 |
| Beijing National Railway Research & Design Institute of Signal & Communication Group Co., Ltd. | China Shenhua Energy Company Limited | 4 |
| Mitsubishi Electric Corporation | Mitsubishi Electric R&D Centre Europe B.V. | 3 |
| Traffic Control Technology Co., Ltd. | Beijing Infrastructure Investment Co., Ltd. | 3 |
Only 10 co-assignee pairs appear in the dataset, and the strongest pairing links two units of the same corporate group, suggesting most work here is done in-house rather than through joint filings.
Where to take this next
The landscape numbers point to specific next steps depending on whether the goal is freedom-to-operate, competitive tracking or identifying open claim space.
Check freedom-to-operate against the top of the ranking
With 30.2% of records held by five assignees and B61L present on nearly three-quarters of the corpus, any new filing in signaling or train-protection control logic should be checked against the leading assignees' claim scope before drafting.
Run a freedom-to-operate checkWatch the 2025-2026 filings as they publish
Because publication lags filing by roughly 18 months, the apparent decline through 2024 is not the final word; tracking new publications as they land will show whether momentum is genuinely easing or simply catching up.
Track new filingsExplore the under-claimed branches directly
Sensor-fusion positioning, AI-based control logic and digital-transmission protocols all show materially lower claim density than core signaling classes, making them a reasonable starting point for a design-around or white-space search.
Explore white space in EurekaCommon questions about this landscape
The ranking is led by a single assignee with 175 records, well ahead of the fifth-place holder at 88 and the tenth-place holder at 57. The five leading assignees together account for 622 records, 30.2% of all 2,059 records in this landscape, and the top 10 combine for 46.4%. Below that the ranked list runs a full 100 companies deep, so more than half of the activity in this field sits with a long tail of smaller filers rather than a handful of majors.
Filings rose steadily and peaked at 194 in 2022, then eased to 99 by 2024, a 32% decline from the 2021 figure of 145 using only complete years. That looks like a pullback from an unusually active period rather than a structural decline. Figures for 2025 and 2026 are still incomplete because publication typically lags filing by about 18 months, so the most recent years should not yet be read as a continued downward trend.
Railway traffic control, IPC class B61L, appears on 71.7% of the 2,059 records in scope, making it by far the largest single category. Electric vehicle propulsion (B60L) follows at 21.0% and vehicle brakes and braking (B60T) at 7.3%, with locomotive and railcar hardware, digital data processing, digital transmission, control-and-regulating systems and AI-based computing each present in smaller shares. Because a single record can carry several IPC classes, these shares add up to more than 100% and should be read as overlap, not as mutually exclusive segments.
The classes with the lowest record shares relative to core signaling and propulsion, including AI-based control logic (G06N at 3.3%), control-and-regulating architecture (G05B at 3.7%) and digital-transmission protocols for train control (H04L at 3.9%), show comparatively thin claim density. Sensor-fusion positioning and track-worker safety detection also appear as narrower, less-crowded branches within the broader signaling category. These are reasonable starting points for a design-around search, though thin density in a class does not by itself guarantee an easy path to a grantable claim.
US6135396A, titled System and method for automatic train operation, is cited 285 times within this corpus, the highest citation count among the records reviewed, alongside other frequently cited filings such as US5398894A on virtual block control. High citation counts inside a searched corpus tend to favour older filings that have simply had more time to accumulate citations, so they are best read as a signal of technical influence on later filers rather than as evidence that the underlying claims remain the most commercially important today.
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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.