https://www.patsnap.com/resources/blog/rd-blog/positive-train-control-simulation-and-modeling-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Rail & Transit Patent Landscape
Positive Train Control Simulation Patents: Filing Trends and White Space
  • 24 families total. a niche, tightly-drawn corpus concentrated almost entirely under B61L railway traffic control, with G09B educational/demonstration aids as the near-universal second classification.
  • Filing peaked in 2023 at 12 then the pipeline shows no confirmed growth beyond the midpoint year, consistent with a technology still working through a single wave of filings rather than sustained expansion.
  • One Chinese record carries most of the citation weight CN110239599A is cited far more than any US filing, signalling where the field's most-referenced prior art actually sits.
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24
Published Records
US
Leading Jurisdiction
5
Active Filers Ranked
2023
Peak Filing Year
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Field Overview

What this landscape covers

Positive train control (PTC) simulation and modeling patents describe software and hardware used to test train-control logic before it runs on live track: braking curve modeling, movement authority simulation, hazard analysis, and the training/demonstration rigs that sit alongside them. This is a narrow, applied corner of rail signalling patenting rather than a broad software category — the search string ties train-control terminology directly to simulation-specific claim language, which is why the total family count stays small even across an eleven-year window.

The dataset spans 2015 through the 2026 cut-off, though the most recent year is always undercounted because publication typically lags filing by around 18 months. Receiving-office activity is spread thin across the United States, India, Canada, China, Europe and Mexico, which points to a technology validated for filing in multiple rail markets rather than concentrated in one home jurisdiction.

Filing activity and IPC composition, 2015–2026
  1. 1BNSF Railway Company23
  2. 2China Railway Signal & Communication (Beijing) Co., Ltd.1
  3. 3Beijing Ruichi Guotie Intelligent Transportation Systems Engineering Technology Co., Ltd.1
  4. 4China Academy of Railway Sciences Corporation - Signal & Communication Research Institute1
  5. 5China Academy of Railway Sciences Corporation1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Positive Train Control Simulation and Modeling 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 24-family corpus: how filings moved year over year, and where they sit across the IPC classification system.

A single filing wave, not a sustained climb

Filings were flat at zero through 2017, rose through the middle of the window, and peaked at 12 in 2023 — the midpoint year of 2022 sat at only 4, so the growth into 2023 is a late, sharp cluster rather than a steady climb. With 2026 data still incomplete, it is not yet possible to call this a rising trend.

A single filing wave, not a sustained climb03691202017201820192020202120221220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

B61L and G09B dominate; B60T is marginal

Every record but one classifies under B61L (railway traffic control), and nearly all also carry G09B (educational and demonstration aids) — confirming this corpus is specifically about simulation and training rigs for train control, not train control systems generally. B60T (vehicle brakes) appears in only 3 of 24 records, marking braking-hardware interaction as a minor thread rather than a core claim area.

B61L and G09B dominate; B60T is marginalB61L · Railway traffic control24100.0%G09B · Educational & demonstration ai…2291.7%B60T · Vehicle brakes & braking312.5%

Shares are the percentage of the 24 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 Positive Train Control Simulation and Modeling 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

The representative filing and the most-cited prior art

Representative Filing
WO2023177515A12023-09-21

WO2023177515A1 — Positive train control simulation system and method therefor

BNSF RAILWAY COMPANY

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive, and can display statuses of various locomotive systems to a user via a cab display unit (CDU), while controlling components to simulate warnings and actions from the PTC system.Filed by BNSF Railway, this filing exemplifies the corpus's central claim pattern: pairing software-simulated PTC logic with hardware-in-the-loop brake-pipe actuation and cab-display feedback.

WO2023177515A1 — patent drawing 1WO2023177515A1 — patent drawing 2
View full filing
Most-cited records in this corpus
#Publication no.Patent titleCitations
1CN110239599A一种基于面向服务的列车控制仿真测试系统及方法16
2US11756446B1Positive Train Control simulation system and method therefor2
3CA3254219A1Positive train control simulation system with emergency and horn applications and method therefor1
4US11787455B1Positive train control simulation system with penalty application and method therefor1
5US11472454B1Positive train control simulation system with emergency and horn applications and method therefor1

Citation counts inside a searched corpus favour older filings; treat this table as a signal of influence on later filers, not a ranking of current commercial importance.

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. Publication numbers are shown where the record carries one (5 of 5 rows); clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Positive Train Control Simulation and Modeling 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 tells a rail-tech team

Three read-throughs from the trend, classification and citation data above.

Filing Pattern
0 → 12 → 0
2017 to 2023 peak to trailing years

A late, concentrated filing cluster

The corpus sat at zero filings through 2017 and did not move meaningfully until well into the window, then clustered sharply around 2023. That shape is typical of a technology that only recently became a patenting priority for a small number of filers, rather than one with a long, continuous R&D pipeline behind it.

Peak year: 2023 at 12 families.
Classification Mix
22 of 24
records carry G09B alongside B61L

Simulation and training claims dominate over hardware

Near-universal co-classification with G09B (educational and demonstration aids) confirms these filings are about reproducing PTC behaviour for testing and training purposes, not about the underlying control hardware itself. Braking-hardware claims (B60T) appear in only a small minority of records.

IPC split: B61L 24, G09B 22, B60T 3.
Citation Concentration
16 citations
on the single most-cited record

One record carries outsized influence

CN110239599A is cited 16 times, far ahead of the next tier of records, which sit at 1–2 citations each. That gap suggests a single foundational disclosure that later filers — inside and outside China — have had to work around or build on.

Next-highest cited record: 2 citations (US11756446B1).
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 positive train control simulation and modeling, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Positive Train Control Simulation and Modeling 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
Assignee Landscape

Who is filing, and where the field is still open

Filing activity spreads across a handful of rail operators, research institutes and simulation specialists, with recent-year momentum flat across every named assignee tracked.

Rail Operator
0 in latest year
recent-year momentum

BNSF Railway

BNSF's WO2023177515A1 filing anchors the corpus's representative record, pairing software PTC simulation with hardware-in-the-loop brake-pipe control and cab-display feedback — a pattern echoed across several related US and Canadian filings in the same family line.

Representative filing: WO2023177515A1, 2023-09-21.
Chinese Signalling Group
6 co-assignee pairs
collaboration links in this corpus

State rail signalling and research institutes

China's national rail signalling company and its affiliated research institutes appear repeatedly as co-assignees on the same filings, indicating coordinated in-house development between the signalling manufacturer and its research and engineering arms rather than open licensing activity.

Strongest pair: national signalling company plus its intelligent transport systems affiliate.
Momentum Check
0 across all tracked assignees
latest-year filings

No assignee is currently accelerating

Every top assignee tracked in this corpus shows zero filings in the latest tracked year, consistent with the broader trend data: the 2023 cluster has not yet been followed by a confirmed second wave, though later filings may still be working through the publication lag.

Momentum measured against most recent complete filing year.
🔍
Under-claimed branches worth watching
Sub-areas with thin or no direct claim coverage in this corpus, based on the classification and citation gaps observed above.
Movement authority conflict resolution modelingHazard analysis automation for PTC test rigsCross-border interoperability simulation (PTC-to-ETCS)Braking curve modeling under mixed-consist loadsCab display unit fault-injection testing
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
BNSF Railway Company0
China Railway Signal & Communication (Beijing) Co., Ltd.0
Beijing Ruichi Guotie Intelligent Transportation Systems Engineering Technology Co., Ltd.0
China Academy of Railway Sciences Corporation - Signal & Communication Research Institute0
China Academy of Railway Sciences Corporation0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Positive Train Control Simulation and Modeling 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 trend and assignee data point to specific next steps for teams evaluating freedom to operate or filing strategy in this space.

Watch for the delayed second wave

With 2026 data still incomplete and publication lagging filing by roughly 18 months, filings made after the 2023 peak may not yet be visible. Re-check this corpus in a year before concluding the field has plateaued.

Track filing trends in Eureka

Map the co-assignee network in detail

The six co-assignee pairs in this corpus point to coordinated development inside specific organisational clusters. A deeper look at those relationships can clarify whether competitors are working jointly or simply sharing internal research infrastructure.

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Test claim language against the under-claimed branches

Movement authority conflict resolution and cross-border interoperability simulation show little direct claim coverage here. Drafting around these branches now, while the space is thin, carries less prior-art risk than filing into the dense B61L/G09B core.

Draft around white space in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Positive Train Control Simulation and Modeling 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 PTC simulation patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Positive Train Control Simulation and Modeling 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.