Traffic Signal Timing Centre & Green-Wave Network
🤖 AI-generated summary of the sources below · 🔎 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.
Nanjing's traffic police run a dedicated signal timing centre for the main urban area, staffed jointly by officers, traffic engineers from the local supplier Nanjing Les and academics from Southeast University's transport school. Its working method is unusual for a police unit: large-scale floating-car trajectory data collected by Didi is combined with the force's own loop and video detectors to rank junctions by service level, and candidate problems are verified on the video wall before a timing plan is changed. The output is a coordinated green-wave network layered over the city's arterials, with day-part plans per junction rather than a single fixed cycle.
📊 Impact
When the programme was reported in 2018 the network had reached 154 green-wave corridors covering 1,080 junctions, and the traffic police put average speeds on Zhongshan East Road, Beijing East Road and Hanzhong Road up 15%, with the northbound-to-southbound stretch of Jiangdong Middle Road up 53%.
🎓 Lesson
Two things are worth separating here. Buying a commercial mobility dataset gives a signals team something almost no city measures for itself — turn-by-turn delay on every approach — but it also makes the operator's performance evidence dependent on a private firm's data licence. And the newer claim, that an adaptive control system now covers every main-urban junction and put Nanjing first nationally on two congestion indices, exists only in the supplier's own marketing.
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📎 Cite this project
1001 Smart Cities (2026). “Traffic Signal Timing Centre & Green-Wave Network” — Nanjing, China. The Smart City Atlas. https://1001smartcities.org/projects/nanjing-signal-timing-centre/ (last verified 2026-08-06). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.
