📡 Data & IoT

TOCC — Chengdu's citywide transport data coordination centre

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 reroute 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

🤖 AI-generated summary of the sources below — how this works · 🔎 Last verified 2026-08-02

📡 Data & IoT Sensors & IoT Traffic management Public transport

📊 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.

Evidence🏛️ Official

Scale🏙️ City-wide

📖 Terms in this entry: Adaptive traffic signals · Congestion pricing · ANPR (automatic number-plate recognition)

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.

This overview was generated with AI from the public sources listed above 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.

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. 🇨🇳 'Open Doors, Fix Congestion' — Chengdu traffic police's AI signal and drone campaign · Chengdu Same city: TOCC's 300M-record data feed is the raw data these AI signals draw their real-time timing from.

Explore the wider context

🚦 Asphalt or algorithms 📡 Sensors & IoT guide 🏙️ Chengdu city profile 📡 Data & IoT projects

📎 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.

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