Urban Rail & Metro Patents: Who Leads, Where the Gaps Are 2026
- 29.5% concentration at the top. The five leading assignees combined hold 119 of the 404 records in scope — a leader at 34 filings followed by a fast drop to single digits further down the ranking.
- Traction power and control dominate the IPC mix. B60M, H02J and B61L each cover roughly a fifth to a quarter of all 404 records, showing the field is still organised around power delivery and signalling rather than data or onboard processing.
- Filing has plateaued, not fallen. 2021 to 2024 — the last year with a complete publication picture — moved from 34 to 32 filings, a -6% change that reads as a steady field rather than a declining one.
Filing growth compares 2021 (34 records) with 2024 (32) — 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 404 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This landscape tracks patent activity at the intersection of urban rail and metro systems and the technical subsystems that keep trains moving and located: traction power supply, wheel-rail contact, track condition monitoring and train position determination. The 404 records in scope span filings from 2015 through the 2026 cut-off, drawn from receiving offices led by China, with meaningful volume also filed at the EPO, USPTO, in Germany, via the PCT route, and in India.
The technology composition sits heavily on power and control engineering — power lines for electric traction, power supply and grid systems, and railway traffic control together account for the largest IPC subclasses in the dataset — with a smaller but present layer of digital data processing and electric vehicle propulsion claims layered on top.
Filing trend and technology composition
Two views of the same 404-record dataset: how filing volume has moved year over year, and which IPC subclasses carry the claim density.
Filing trend, 2017-2026
Filings rose from 34 in 2017 to a peak of 56 in 2023, before easing off. 2024 is the last year with a largely complete publication record; 2025 and 2026 figures will keep rising as later filings publish, since publication typically lags filing by around 18 months.
IPC subclass composition
B60M (power lines for electric traction) leads at 23.0% of the 404 records, closely followed by H02J (power supply and grid systems) at 22.8% and B61L (railway traffic control) at 20.8%. Because a single record can carry multiple IPC classes, these shares sum to well over 100% and should be read individually against the 404-record base, not against each other as a pie.
Shares are the percentage of the 404 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Urban Rail & Metro Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about urban rail & metro patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaMost-cited records in this landscape
Network automatic train supervision system for urban rail transit based on a cloud platform
A network automatic train supervision (NATS) system disposed in a network center cloud platform that collects line ATS data for analysis and provides network-level operation management: running command, operation index analysis, fully automated mapping, network and line collaborative command, transport organisation and aided decision functions, aimed at giving a network centre overall command and dispatching visibility across full road networks for large cities.Filed by CASCO SIGNAL LTD., published 2026-02-26 — a recent illustration of the shift from line-level ATS toward network-level, cloud-based supervision.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US7966945B1 | Isolation and support structures for hydrogen hybrid locomotives and hydrogen hybrid locomotives using the sa… | 52 |
| 2 | CN107895960A | 基于强化学习的城轨交通地面式超级电容储能系统能量管理方法 | 48 |
| 3 | CN111311017A | 城市轨道交通列车运营时刻表和速度运行曲线优化方法 | 47 |
| 4 | US6250442B1 | Ground power supply for electric vehicle with earth connection | 45 |
| 5 | CN104881527A | 城市轨道交通列车ATO速度命令优化方法 | 36 |
| 6 | US7971538B1 | Power management systems for hydrogen hybrid locomotives and hydrogen hybrid locomotives using the same | 35 |
| 7 | CN110053521A | 城市轨道交通牵引供电系统及车-网配合参数优化方法 | 32 |
| 8 | US20220227402A1 | Train autonomous control system and method based on train-to-train communication | 29 |
| 9 | WO2014166062A1 | 城市轨道交通列车防撞信息系统 | 28 |
| 10 | CN112906299A | 城轨供电系统的数字孪生仿真的数据计算方法、系统 | 26 |
Citation counts are drawn from within this searched corpus and favour older filings that have had more time to accumulate citations; treat them as a signal of influence on the field, not of current technical relevance.
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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Reading the concentration, trend and IPC data together points to where claim space is already occupied and where a new filer still has room to move.
A leader well ahead, then a steep drop
The leading assignee holds 34 records against a fifth-place figure of 12 and a tenth-place figure of 10. That gap means the very top of the field is genuinely occupied, but the ranking flattens quickly after the first few names, leaving room for new entrants below the leader tier.
Power delivery still anchors the field
B60M, H02J and B61L together describe a field still centred on getting power to trains and controlling their movement safely, rather than on the data layer. G06F, at 9.4%, is the largest software-adjacent class and remains well behind the power and control subclasses.
A steady field, not a shrinking one
Filing volume moved from 34 in 2021 to 32 in 2024, essentially flat over three complete years after a 2023 peak of 56. Because 2025-2026 filings are still publishing, any apparent recent decline should not be read as the field cooling off.
Filing partnerships cluster around a few institutions
The strongest co-assignee pairing appears eleven times, and two further pairings recur five times each, all anchored around university-affiliated inventors and rail electrification specialists rather than spread evenly across the field.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to urban rail & metro patent landscape, with the prior art for and against each one.
Who is filing, and where momentum is shifting
The ranking spans 100 companies counted by record, from a clear leader down to a long tail of single-digit and single-filing entrants. Momentum in the most recent tracked year has cooled across nearly every named assignee, consistent with the publication-lag effect rather than a genuine pullback.
A university-anchored leader
The top-ranked assignee holds 34 of the 404 records in scope, nearly three times the fifth-place figure of 12, making it the single most concentrated position in the ranking.
Flat, not falling, at the top
The leading assignee recorded 2 filings in the latest tracked year against a 0% year-on-year change, while several other named assignees show a 0% or -100% figure for the same year — again best read as publication lag rather than a real drop in activity.
Institution-inventor pairings drive the densest links
The strongest recurring co-assignee relationship in the dataset pairs a university with a named individual inventor, appearing eleven times — a pattern that suggests close, long-running research partnerships rather than broad industry consortia.
| Assignee | Recent year | YoY |
|---|---|---|
| Southwest Jiaotong University | 2 | 0% |
| CASCO Signal Ltd. | 0 | -100% |
| Beijing Jiaotong University | 0 | -100% |
| Tsinghua University | 0 | — |
| Zhenjiang Daqo Secheron Traction Power Co., Ltd. | 0 | — |
| Beijing Jiaotong University Yangtze Delta Research Institute | 0 | — |
| CRRC Tangshan Co., Ltd. | 0 | — |
| LI QUNZHAN | 0 | — |
Where to take this next
The landscape data points to specific questions worth running deeper before committing R&D or filing budget.
Check freedom-to-operate around the leader's core claims
With one assignee holding 34 of 404 records, a targeted claim-scope review of that portfolio before filing in adjacent traction-power or train-control subclasses can avoid a costly overlap.
Explore assignee portfolios in EurekaTrack the under-claimed branches directly
Network-level cloud ATS and reinforcement-learning-based energy management show far lower filing density than core B60M and B61L claims, making them worth watching for early movers.
Monitor white space in EurekaRe-run the trend once 2025-2026 filings finish publishing
Because publication lags filing by roughly 18 months, the current 2025-2026 figures will rise; revisiting the trend in a future cycle will give a truer read on whether the 2023 peak was a high point or a plateau.
Set a filing trend alert in EurekaCommon questions on urban rail and metro patents
The ranking covers 100 assignees, counted by patent family, with one clear leader holding 34 of the 404 records in scope. The top five combined account for 29.5% of all records, and the top ten for 42.8%, after which the ranking flattens into a long tail of smaller filers. University-affiliated research institutes and Chinese rail electrification specialists dominate the upper part of the ranking, reflecting where much of the underlying R&D and domestic filing activity is concentrated.
The bulk of filing activity sits in power lines for electric traction (B60M, 23.0% of records), power supply and grid systems (H02J, 22.8%) and railway traffic control (B61L, 20.8%). Smaller but notable shares cover digital data processing, electric vehicle propulsion, electric and magnetic measurement, power conversion, and locomotives and railcars. This mix shows the field is still primarily about delivering power safely and controlling train movement, with software and data layers present but secondary.
Filing rose from 34 records in 2017 to a peak of 56 in 2023. Comparing the two most recent complete years, 2021 and 2024, volume moved from 34 to 32, a -6% change that reads as roughly flat rather than a clear decline. Figures for 2025 and 2026 look lower only because publication typically lags filing by around 18 months, so those years are still filling in and should not be read as a slowdown.
The IPC data shows dense claim coverage in traction power supply and railway traffic control, but comparatively thinner coverage in areas like network-level cloud-based train supervision, reinforcement-learning-driven energy management for onboard storage, and ATO speed-command optimisation. These branches show up in individual high-citation or recent filings rather than as a dense cluster, suggesting room for new claim scope before the space fills in further.
The most-cited record in this dataset is a US filing on isolation and support structures for hydrogen hybrid locomotives, cited 52 times within this corpus, followed by Chinese filings covering reinforcement-learning-based energy management for supercapacitor storage and train timetable and speed-curve optimisation. Citation counts here reflect influence within the searched corpus and tend to favour older filings that have had more time to accumulate citations, so they should be read as a signal of past influence rather than current technical importance.
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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.