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Autonomous Train Operation Patents: Leaders & Filing Trends 2026

Autonomous Train Operation Patents: Leaders & Filing Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/autonomous-train-operation-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Rail & Transit Systems
Autonomous Train Operation Patents: Who's Filing and What's Still Open
  • 28.7% concentration at the top. The five leading assignees account for 642 of the 2,234 records in scope, with a long tail of single- and few-filing entrants behind them.
  • Filings cooled from a 2022 peak. Activity peaked at 204 records in 2022; filings fell from 152 in 2021 to 98 in 2024, a 36% drop over that span, though 2025–2026 counts are still filling in as publications lag filing.
  • Railway traffic control dominates the claim space. B61L covers 72.2% of all records, while AI-based control (G06N, 3.4%) and digital transmission (H04L, 3.6%) remain comparatively open.
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2,234
Published Records
29%
Top-5 Share of All Records
-36%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth compares 2021 (152 records) with 2024 (98) — 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 2,234 records in scope (CR5), not by the ranked leaders only.

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

What the autonomous train operation patent record shows

Autonomous train operation sits at the intersection of railway signalling, traction control and onboard computing. The 2,234 records in scope span filings from 2015 through the 2026 cut-off, concentrated heavily around railway traffic control equipment rather than the AI or communications layers that get more public attention. Automatic train protection, train position determination and traction supply management form the technical backbone of the field, and most granted claims sit inside that backbone rather than at its newer edges.

Filing activity is split between established signalling suppliers with decades of onboard-device patents and a cluster of Chinese rail-transit technology firms that entered more recently and now file at comparable volume. Receiving-office data shows China as the largest single office, ahead of the United States, Japan and Europe, which points to where enforcement and freedom-to-operate questions are most likely to arise first.

Filing activity and technology composition, 2015–2026
  1. 1HITACHI LTD181
  2. 2KK TOSHIBA148
  3. 3MITSUBISHI ELECTRIC CORP121
  4. 4CRSC URBAN RAIL TRANSIT TECH CO LTD102
  5. 5TRAFFIC CONTROL TECH CO LTD90
  6. 6NIPPON SIGNAL CO LTD80
  7. 7SIEMENS MOBILITY GMBH71
  8. 8CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD69
  9. 9PROGRESS RAIL SERVICES CORP60
  10. 10BYD CO LTD57
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Autonomous Train Operation Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Numbers

Filing trends and technology composition

Two views of the same 2,234-record dataset: the pace of filing over time, and how records distribute across the IPC subclasses that define the technology.

Filings rose to a 2022 peak then eased

Annual filings climbed from 91 in 2017 to a peak of 204 in 2022, then declined to 98 by 2024 (a 36% drop from the 2021 level of 152). Because publication trails filing by roughly 18 months, the 2025 and 2026 figures are still incomplete and should not be read as a continued decline.

Filings rose to a 2022 peak then eased06312518825091201720182019202020212042022202320242025162026Most recent year is partial — publication lag means later filings are not yet visible.

Railway traffic control anchors the field

B61L (railway traffic control) appears in 72.2% of all 2,234 records, far ahead of B60L electric propulsion (19.9%) and B60T braking (6.7%). Software-adjacent classes — G06F data processing (5.0%), H04L digital transmission (3.6%), G05B control systems (3.5%) and G06N AI-based computing (3.4%) — each cover a small minority of records, marking them as comparatively under-claimed relative to the signalling core.

Railway traffic control anchors the fieldB61L · Railway traffic control1,61272.2%B60L · Electric vehicle propulsion44519.9%B60T · Vehicle brakes & braking1506.7%G06F · Electric digital data processi…1125.0%B61C · Locomotives & railcars1115.0%H04L · Digital information transmissi…803.6%G05B · Control & regulating systems783.5%G06N · Computing based on AI models773.4%Other83437.3%

Shares are the percentage of the 2,234 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 Autonomous Train Operation Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Representative and most-cited filings

Representative Filing
EP2746132B12016-08-03

EP2746132B1 — CTCS-3 onboard automatic train operation device

BEIJING NATIONAL RAILWAY RESEARCH & DESIGN INSTITU

Filed by Beijing National Railway Research & Design Institute, this filing describes a CTCS-3 onboard device for automatic train operation comprising an interface module connecting a train control command generating module to an automatic train protection device and a train control interface, coordinating command generation with protection-system exchange.Abstract condensed from the original filing text.

EP2746132B1 — patent drawing 1
View full record
Most-cited records in the dataset
#Publication no.Patent titleCitations
1US6135396ASystem and method for automatic train operation285
2US5398894AVirtual block control system for railway vehicle234
3US5437422ARailway signalling system213
4US20100312461A1System and method for vitally determining position and position uncertainty of a railroad vehicle employing d…152
5US20080195257A1Guidance and Security System for Complex Transport Systems144
6US20040064235A1Vehicle dynamics production system and method144
7US20110006912A1Track Worker Safety System143
8US6865454B2Train control system and method of controlling a train or trains136
9US5364047AAutomatic vehicle control and location system135
10US20060244830A1System and method of navigation with captured images134

Citation counts reflect influence within the searched corpus and favour older filings; they are not a measure 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 Autonomous Train Operation Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the data means for filing strategy

Three patterns stand out once the raw counts are put in context: where claim density already blocks new filings, where activity is cooling rather than growing, and which offices matter most for enforcement risk.

Concentration
28.7% of 2,234 records
top 5 combined share

A dense top, a long tail below

The five leading assignees hold 642 of the 2,234 records in scope, and the top ten extend that to 979 records (43.8%). Below tenth place, filing counts drop off quickly, meaning most of the ranked field holds only a handful of families each.

Ranking covers 100 companies, not a top-50 or top-100 subset of a larger universe.
Momentum
152 → 98 records
2021 to 2024, -36%

Growth has cooled since the 2022 peak

Filings peaked at 204 records in 2022 and fell to 98 by 2024. Several of the most active historical filers show flat or declining recent-year counts, though the newest publication years remain incomplete due to filing-to-publication lag.

Read 2025-2026 counts as provisional, not as confirmed decline.
Geography
589 China filings
largest receiving office

China leads receiving-office volume

China accounts for 589 records, ahead of the United States (357), Japan (273), Europe (257) and the WIPO PCT route (134). Enforcement exposure and prior-art density are both weighted toward China and the US for any new filing strategy.

Australia (105) trails the group but is not negligible for regional strategies.
Composition
72.2% B61L
share of all records

The signalling core is saturated; adjacent layers are not

Railway traffic control claims (B61L) dominate the corpus, while AI-based control (G06N, 3.4%) and digital data transmission (H04L, 3.6%) cover only a small minority of records despite their relevance to modern autonomous operation.

Multiple IPC classes per record mean shares sum above 100%; each is measured against the same 2,234-record base.
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to autonomous train operation 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 Autonomous Train Operation Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Who's Filing

Assignee concentration and recent momentum

The ranked leaders combine long-established signalling suppliers with a cluster of Chinese rail-transit technology firms that scaled filing volume more recently. Co-assignee pairings show where R&D and operating-company affiliates file jointly.

Leader
181 records
leading assignee

A clear leader ahead of a competitive pack

The top-ranked assignee holds 181 records, well ahead of fifth place at 90 and tenth place at 57. That gap suggests one organisation has built a materially deeper filing position than its closest competitors.

Family counts, not raw document counts, are used for this ranking.
Co-filing
30 shared families
strongest co-assignee pair

Parent-affiliate filing pairs are common among Japanese and Chinese groups

The strongest co-assignee pairing links a parent company and its infrastructure-systems affiliate across 30 shared families, a pattern repeated at smaller scale in at least two other groups in the dataset's 10 identified co-assignee pairs.

Joint filing signals internal R&D-to-operations handoff rather than external licensing.
Momentum
-33% to -100% YoY
recent-year filing change

Recent-year counts are down across most active filers

Several of the historically most active assignees show sharply reduced or zero filings in the latest tracked year, with year-over-year changes ranging from -33% to -100%. Given publication lag, this likely overstates any real slowdown but still signals a pause worth watching.

Confirm against 2025-2026 data as it fills in before treating this as a structural retreat.
🔍
Under-claimed branches worth a first-mover look
These sub-areas sit outside the dense B61L signalling core and carry comparatively few filings relative to their technical relevance.
AI-based train control decision modelsDiverse-sensor position uncertainty fusionWireless train-to-wayside data transmissionTraction supply condition monitoringWheel-rail contact condition sensing
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Beijing National Railway Research & Design Institute of Signal & Communication Group Co., Ltd.4-33%
Traffic Control Technology Co., Ltd.2-33%
Hitachi, Ltd.0-100%
Toshiba Corporation0
Mitsubishi Electric Corporation0-100%
CRSC Urban Rail Transit Technology Co., Ltd.0-100%
Nippon Signal Co., Ltd.0
Thales Canada Inc.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Autonomous Train Operation Patent Landscape covering 2015–2026, data cut-off 2026-08-31. 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 specific next steps depending on whether the goal is filing strategy, freedom-to-operate review or competitive tracking.

Map claims against the B61L core before filing

Given 72.2% of records sit in railway traffic control, a new filing there needs a tight novelty search against the dense prior art rather than a broad functional claim.

Run a claim comparison in Eureka

Track recent-year momentum by assignee

Several leading filers show sharp year-over-year drops, but publication lag makes 2025-2026 data provisional; revisit assignee momentum as later filings publish.

Set up assignee monitoring in Eureka

Evaluate white space in AI-based control and sensor fusion

G06N and diverse-sensor position determination cover a small share of records relative to their technical relevance to autonomous operation, making them candidates for first-claim positions.

Explore white space with Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Autonomous Train Operation Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Frequently asked questions

Answers are grounded in the same dataset. Derived from a Patsnap search on Autonomous Train Operation Patent Landscape covering 2015–2026, data cut-off 2026-08-31. 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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