1001 Smart Cities
🇨🇳 Chengdu

TOCC — Chengdu's citywide transport data coordination centre

🤖 AI-generated summary · ◆ 13 sourced claims · 🔎 Last verified

This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

13 sourced claims on this page, none individually verified yet — turn on “Sources in the text” to see each one.

How this atlas is made · What “last verified” means · What “source-checked” means · The full record behind this page

✎ Corrected 21 Aug 2026 1 claim added. What changed →

Chengdu's transport hub swallows 300 million records a day from every travel mode — its clearest reported win isn't citywide, it's taxi complaints dropping about 90% at one airport.

Outcome🔄 Ongoing
Evidence📰 Media
what does this mean?The strongest source is press reporting; no primary evaluation was located. It grades who did the looking — not how well the project went. All four grades →
Run byChengdu Transportation Operation Coordination Center (TOCC), Chengdu Municipal Transport Committee
Scale🏙️ City-wide

Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 6 more in Chengdu · 📡 Sensors & IoT guide · 📡 Data & IoT projects

Chengdu's Transportation Operation Coordination Center (TOCC), running since 2019, ingests over 300 million transport data records a day — 315.1 billion records across 15 categories from aviation, roads, rail, buses, taxis and ride-hailing — from 100,000+ sensing terminals and 99,000 video feeds. It has been used to catch overcrowding on Metro Line 1 and add empty trains, and a companion driver app is credited with taxi drivers earning roughly 50 yuan more per day by steering them to demand hotspots. The clearest reported win is narrow, not citywide: taxi queue complaints at Shuangliu International Airport reportedly fell about 90% after the center started managing dispatch there.

Live 📅 since 2019

📊 Impact

300M+ new data records processed daily (315.1 billion records across 15 categories cumulative) from 100,000+ sensing terminals and 99,000 video feeds; taxi complaints at Shuangliu Airport down roughly 90%; drivers using the companion app reportedly earn about ¥50/day more (all figures self-reported by the operator).

🎓 Lesson

A citywide transport data platform proves itself in specific, checkable wins — one airport's taxi queue, one overcrowded metro station — not in a single aggregate number.

📡 Data & IoTSensors & IoTTraffic managementPublic transport

Sources

↗ The Paper — Chengdu TOCC processes over 300 million transport data records dailyFounding year (2019), daily data volume, sensing terminal/video feed counts, taxi-complaint and driver-earnings figures, all attributed to the TOCC director.
↗ 7its.com — Chengdu TOCC's 315.1 billion records visible on one screenIndependent trade-press confirmation of the 315.1bn cumulative records / ~600M daily new entries, data source categories, and the Metro Line 1 overcrowding/driver-app examples.
↗ Alibaba Cloud developer community — Chengdu TOCC smart-city buildIndependent technical write-up describing TOCC's data-intake scope, the big-data/application-platform architecture, and its role coordinating city-wide transport data.
Show your work What this page rests on and what it can’t tell you · all 13 claims with their sources · the forensic record

Evidence Passport · public beta 13 addressable claims, 3 source dossiers, one permanent baseline. The passport is unreviewed — an AI-assisted structural migration, not a human or expert endorsement. Every revision keeps a permanent copy under revision history.

Inspect the claims, one by one — verbatim text, sources and caveats for all 13

The text below is copied verbatim from the published record. Each claim names the source dossiers that carry it; caveats stay attached to the claim they qualify.

Claim 1 clm-8ead4a84dd200dbb quantitative
running since 2019
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The Paper reports the centre's own account of its founding: 「TOCC于2019年正式挂牌成立」 — TOCC was formally inaugurated in 2019. The 2021 article describes it as in continuous operation since then.
Caveat
The founding date comes from the operator itself, relayed in an interview with TOCC director Luo Jian; no independent registry entry is cited.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
Claim 2 clm-c68495f1bfa740ad quantitative
ingests over 300 million transport data records a day
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The Paper (July 2021) quotes TOCC director Luo Jian: 「TOCC每天的平均数据采集量，已超3亿条」 — average daily data collection already exceeds 300 million records. The trade press (February 2022) gives a different figure for daily new records: 「日均新增数据6亿条」, 600 million.
Caveat
The two sources disagree: 300 million records collected per day (The Paper, 2021) against 600 million new records per day (7its, 2022). The entry uses the lower, earlier figure. Neither source explains whether the two count the same thing.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
  2. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
Claim 3 clm-2249de4549b0d384 quantitative
315.1 billion records across 15 categories
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The trade-press report states: 「成都TOCC已汇集来自航空、公路、铁路、公安交管等省、市相关部门及交通运输企业15大类，3151亿条交通数据」 — 15 major categories, 315.1 billion transport data records, gathered from provincial and municipal bodies and transport operators.
Caveat
Cumulative since launch, not an annual throughput. The category count is not stable across sources: the Alibaba Cloud write-up describes 13 and elsewhere 14 major categories, not 15.

Sources carrying this claim

  1. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
Claim 4 clm-02ff4f37f4d91c20 descriptive
from aviation, roads, rail, buses, taxis and ride-hailing
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The trade press names 「航空、公路、铁路、公安交管等」 (aviation, highways, rail, police traffic management and others) as the feeding bodies; the Alibaba Cloud technical write-up lists the full mode set, including 「地面公交、出租汽车、网约车」 — surface buses, taxis and ride-hailing.
Caveat
No single source lists exactly these six modes; the entry's list is assembled from two overlapping enumerations that themselves differ in length.

Sources carrying this claim

  1. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
  2. Alibaba Cloud developer community — Chengdu TOCC smart-city build
Claim 5 clm-807874d9804ca34d quantitative
100,000+ sensing terminals
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The Paper: 「分布在全市的如流量摄像头等在内的超10万路感知终端，正在采集整个城市的交通信息」 — more than 100,000 sensing terminals across the city, including flow cameras, are collecting the city's transport information.
Caveat
Operator figure from a 2021 interview; the source does not break the count down by device type or say who owns the terminals.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
Claim 6 clm-125edf5f5c42009f quantitative
99,000 video feeds
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The Paper: 「目前，成都市已有9.9万条视频线路接入中心」 — 99,000 video lines are connected into the centre.
Caveat
Operator figure, as of the July 2021 article; the source does not say how many of the feeds are live-monitored rather than merely connected.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
Claim 7 clm-6aea7ad3f340a5da quantitative
It has been used to catch overcrowding on Metro Line 1 and add empty trains
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The trade press reports the detection — 「地铁1号线骡马市站至倪家桥站区间早高峰小时最大断面客流累计已达10万人次以上，最大满载率超过130%」 — and the operational response: 「成都地铁在工作日早高峰采取开行大站空车到倪家桥站的组织方式」, running empty skip-stop trains to Nijiaqiao station at weekday morning peak.
Caveat
The source describes extra empty trains inserted in short-turn operation past Nijiaqiao, not rerouting.

Sources carrying this claim

  1. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
Claim 8 clm-6737e1ffb6d405e6 quantitative
a companion driver app is credited with taxi drivers earning roughly 50 yuan more per day by steering them to demand hotspots
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The app is TOCC's own 「司机小秘书」, which pushes the number of idle taxis, passenger waiting times and average order revenue for under-served areas and hubs to drivers. The Paper: 「使用者日均收入比未使用者高近50元」 (users earn nearly 50 yuan a day more than non-users, among roughly 5,000 drivers, about half the city's fleet). The trade press: 「使用APP驾驶员的日均收入比全市平均高50元左右」.
Caveat
The two sources use different baselines — The Paper compares app users with non-users, the trade press with the citywide average. Neither is a controlled comparison, so self-selection by more active drivers is not excluded.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
  2. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
Claim 9 clm-ed01f1ff82a5947f quantitative
taxi queue complaints at Shuangliu International Airport reportedly fell about 90% after the center started managing dispatch there
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The Paper: 「这让双流机场出租车投诉率下降了90%」 — the taxi complaint rate at Shuangliu airport fell by 90%, presented as the result of TOCC's dispatch coordination at the airport.
Caveat
The source gives a complaint rate, not a count, and names neither a baseline period nor absolute numbers. It is the operator's own figure, relayed by TOCC director Luo Jian in a July 2021 interview; no independent audit is cited.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
Claim 10 clm-2d6c3bc8a7b9f2e1 quantitative
300M+ new data records processed daily (315.1 billion records across 15 categories cumulative) from 100,000+ sensing terminals and 99,000 video feeds
Published field
impact · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
Terminal and video counts are The Paper's: 「超10万路感知终端」 and 「9.9万条视频线路接入中心」; the daily volume is 「已超3亿条」; the cumulative total is the trade press's 「15大类，3151亿条交通数据」.
Caveat
The two sources disagree on the daily figure (300 million collected, The Paper 2021, against 600 million new, 7its 2022), and on the category count (15 against the Alibaba Cloud write-up's 13/14). The cumulative total is since launch, not annual.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
  2. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
Claim 11 clm-ab5ea7ef5cfd4fd2 quantitative
taxi complaints at Shuangliu Airport down roughly 90%
Published field
impact · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The Paper: 「这让双流机场出租车投诉率下降了90%」 — a 90% fall in the airport taxi complaint rate, credited to TOCC's dispatch coordination.
Caveat
A rate, not a count; no baseline period, no absolute numbers, no independent verification.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
Claim 12 clm-9bc7ad146ff15900 quantitative
drivers using the companion app reportedly earn about ¥50/day more (all figures self-reported by the operator)
Published field
impact · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The trade press: 「使用APP驾驶员的日均收入比全市平均高50元左右」; The Paper gives the same order of magnitude against non-users. The self-reporting note is borne out by The Paper's framing: the figures are given by TOCC director Luo Jian in an interview, and the trade-press piece likewise relays the centre's own account.
Caveat
Different baselines in the two sources (citywide average against non-users), no control group in either, and the earnings claim rests on the operator's own reporting of its own app.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
  2. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
Claim 13 clm-e0fa65d99fbdefff descriptive
one airport's taxi queue, one overcrowded metro station
Published field
lesson · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
These are exactly the two cases the sources document: the Shuangliu airport taxi complaint drop (The Paper) and the Line 1 Luomashi–Nijiaqiao morning peak, 「最大满载率超过130%」, answered by extra empty skip-stop trains (7its).
Caveat
The wider generalisation about citywide platforms is the atlas's editorial reading; the sources support only the two named cases, and both are the operator's own account.

Sources carrying this claim

  1. The Paper — Chengdu TOCC processes over 300 million transport data records daily
  2. 7its.com — Chengdu TOCC's 315.1 billion records visible on one screen
Forensic record — source dossiers, gaps, hashes and the exact revision this page renders

This layer records what is known about each source, what is still missing, and the exact snapshot this page is rendering. A missing date, archive or hash stays visible as missing.

unreviewed Revision 2026-08-21-unsourced-text-correction effective 2026-08-02 · created 2026-08-21

Awaiting operator and domain-expert review; publication of this revision implies neither.

sha256:0653d06a33cf2daadb505b553aa3a892558243eb523ee9ff25904867c8ec69b9
Revision history → Permanent version link → Machine-readable record → Evidence Constitution →
13
of 13 claims mapped
3
source dossiers
0
publication dates recorded
0
archives linked
0
exact locators
0
content captures hashed

Governance facts carried by the record

Operator
Chengdu Transportation Operation Coordination Center (TOCC), Chengdu Municipal Transport Committee
Actor types
city-government
Funding model
public
Funding description
Not recorded
Cost
Not recorded
Ownership
Not recorded
Decision rights
Not recorded
Exit conditions
Not recorded

3 source dossiers

The Paper — Chengdu TOCC processes over 300 million transport data records daily thepaper.cn · 10 linked claims

Open original source ↗

Stable source ID
src-08f0fa0fea206176
Publisher
Name not classified · thepaper.cn
Type / language
web-page · language not classified
Published
Not recorded
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-08-02
Dossier created
2026-08-21
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

Founding year (2019), daily data volume, sensing terminal/video feed counts, taxi-complaint and driver-earnings figures, all attributed to the TOCC director.

Descriptive only — not page/paragraph exact
Claims linked
7its.com — Chengdu TOCC's 315.1 billion records visible on one screen 7its.com · 8 linked claims

Open original source ↗

Stable source ID
src-f8b8f2e364cb5874
Publisher
Name not classified · 7its.com
Type / language
web-page · language not classified
Published
Not recorded
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-08-02
Dossier created
2026-08-21
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

Independent trade-press confirmation of the 315.1bn cumulative records / ~600M daily new entries, data source categories, and the Metro Line 1 overcrowding/driver-app examples.

Descriptive only — not page/paragraph exact
Claims linked
Alibaba Cloud developer community — Chengdu TOCC smart-city build developer.aliyun.com · 1 linked claim

Open original source ↗

Stable source ID
src-1cae7c9f870fe978
Publisher
Name not classified · developer.aliyun.com
Type / language
web-page · language not classified
Published
Not recorded
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-08-02
Dossier created
2026-08-21
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

Independent technical write-up describing TOCC's data-intake scope, the big-data/application-platform architecture, and its role coordinating city-wide transport data.

Descriptive only — not page/paragraph exact
Claims linked
Known limits of this passport
  • Publisher names and source languages have not yet been classified; domains are recorded without guessing.
  • Existing source notes are descriptive locators, not page- or paragraph-exact citations.
  • A missing archive, publication date or content hash is shown as null rather than inferred.
  • The project-level evidence grade ranks the strongest source in the entry; it is not a truth score for every claim.

Continue exploring

Compare this project

🇰🇷 TOPIS — Seoul Transport Operation & Information Service · Seoul Same genre of citywide control room; Chengdu counts raw records processed, Seoul counts bus intervals managed. 🇮🇹 Rome Mobility Control Centre · Rome Both fuse many feeds into one room; Chengdu's real win is one airport's taxi queue, not a citywide number. 🇨🇳 Apollo Go robotaxi pilot — driverless cars with a safety officer still on board · Chengdu Same city's two data bets: one aggregates 300M+ daily records, the other still needs a paid safety officer per car.

Explore the wider context

🚦 Asphalt or algorithms📖 Adaptive traffic signals📖 Automated speed enforcement (speed cameras)📖 Congestion pricing
📎 Cite this project

1001 Smart Cities (2026). “TOCC — Chengdu's citywide transport data coordination centre” — Chengdu, China. The Smart City Atlas. https://1001smartcities.org/projects/chengdu-tocc-transport-data-hub/ (last verified 2026-08-02). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

🚩 Report an error · 🔔 Follow changes to this entry (RSS)

✉️ Get the next source-checked smart-city project in your inbox

One short email a week: the Landmark, one Insight, the new cities. No spam, one-click unsubscribe. About the newsletter · RSS