SIMLUR: Paying the Cleaning Contractors From Their GPS Trace

🤖 AI-generated summary of the sources below · 🔎 Last verified 2026-08-10

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.

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SLU, the Federal District's urban cleaning service, does not merely track its contractors' vehicles — it pays them from the track. Two 2024 instructions put the Sistema de Monitoramento de Limpeza Urbana (SIMLUR) at the centre of contract measurement: Instruction 39 of 5 September 2024 governs the GNSS receivers fitted to selective-collection vehicles and the pre-defined circuits, frequencies and times they must cover, and Instruction 42 of 8 October 2024 makes SIMLUR the 'solução tecnológica para fins de monitoramento e pagamento' of manual and mechanised street sweeping. SIMLUR overlays the day's GPS signals on the planned routes, produces a 'Relatório Ruas Planejadas' identifying which stretches were actually covered, and counts the kilometres for payment; SLU has 48 hours from processing to recognise a submitted signal for payment. The same tracking feeds a public app, SLU Coleta DF, which shows residents where the collection trucks are across the 35 administrative regions and alerts them when one is nearby.

Live 📅 since 2024

Outcome🔄 Ongoing

Evidence🏛️ Officialgrades the sourcing — this entry states no impact figure

what does this mean?

The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →

Run byServiço de Limpeza Urbana do Distrito Federal (SLU-DF)

Scale🏙️ City-wide

🎓 Lesson

Two things are worth keeping apart. The payment rule is precise and unusually candid about its own limits: where GPS processing shows 95% or more of a planned route executed, SLU credits it in full — an explicit 5% tolerance written into the instruction for technological and environmental signal interference. The mapping side is not automatic at all: SLU's count of roughly 4,000 irregular dumping points across the Federal District (January 2025) comes from patrol rounds and residents' reports, not from the telemetry. And SLU has published no evaluation of whether measuring contractors this way improved the service or only the paperwork.

🌱 Environment Waste & recycling Sensors & IoT

Sources

↗ SINJ-DF — Instrução SLU nº 42 de 08/10/2024Primary legal source, fetched successfully. Art. 1 defines SIMLUR as the 'solução tecnológica para fins de monitoramento e pagamento dos serviços de varrição'; Art. 3 the geospatial analysis of the day's GPS signals; Art. 4 the 'Relatório Ruas Planejadas' that identifies executed stretches and counts kilometres 'para fins de pagamento'; Art. 5 the 5% tolerance where execution reaches 95% or more; Art. 6 the 48-hour recognition window.

↗ SINJ-DF — Instrução SLU nº 39 de 05/09/2024Primary legal source, fetched successfully — the collection-side counterpart. Sets SIMLUR guidelines for selective collection; Art. 3 §1 specifies the GNSS receivers installed in collection vehicles; Art. 4 defines a collection circuit as street stretches to be covered at a pre-defined frequency and time; Arts. 5–6 cover data processing and reprocessing for contracted cooperatives and associations.

↗ Jornal de Brasília — Limpeza pública do DF recebe investimentos de cerca de R$ 2 milhõesFetched successfully. Describes SLU's ~R$2 million digital investment from 2024 and the renewed SIMLUR maintenance contract; lists the system's functions — comparing executed against planned service using geographic data, mapping irregular disposal points, optimising collection routes against the DF road network, and generating performance indicators. Does not name the supplier company.

↗ Correio Braziliense — Novo aplicativo do SLU permite acompanhar a rota dos caminhões de lixo5 March 2025, fetched successfully. Coverage of the public-facing SLU Coleta DF app: real-time truck location, collection days and times, special-waste drop-off points, proximity notifications, covering 'as 35 regiões administrativas do DF'. NOTE: the iOS app id (1434466083) suggests the app itself predates 2025 — the March 2025 news is the real-time tracking feature, which is why the entry dates from the 2024 instructions, not from the app.

↗ Metrópoles — DF tem 4 mil áreas com descarte irregular de lixo. Veja mapa23 January 2025, fetched successfully. Source of the ~4,000 irregular dumping points and — importantly — of the caveat in the lesson: the SLU director says the mapping is done by 'rondas' and citizen reports, not automatically. Also gives 2024 volumes by region (Ceilândia 72,766 t, Plano Piloto 54,886 t, Taguatinga 46,198 t) and the fine scale (R$2,900 base, up to R$293,000).

Continue exploring

Compare this project

🇧🇷 Comlurb's Tracked Waste Collection Fleet · Rio de Janeiro Both Brazilian capitals watch the cleaning fleet by GPS — Rio raises alerts from it, Brasília's SIMLUR turns the trace into the invoice. 🇨🇿 Golemio Urban Waste Sensor Mesh · Prague Waste telemetry anchored at opposite ends: Prague senses the containers, Brasília tracks the crews and pays them from the trace. 🇧🇷 Bus GPS Since 2016 — and the 21,910 Penalty Notices That Ended the Concession's Free Run · Campo Grande GPS as a payment and penalty instrument: Brasília pays cleaning crews from the track, Campo Grande fined its bus operator from it.

Explore the wider context

📟 A Reading Is Not a Decision 🗑️ Waste & recycling guide 🏙️ Brasília city profile 🌱 Environment projects 📖 Adaptive traffic signals 📖 Air quality index (AQI)📖 Automated speed enforcement (speed cameras)

📎 Cite this project

1001 Smart Cities (2026). “SIMLUR: Paying the Cleaning Contractors From Their GPS Trace” — Brasília, Brazil. The Smart City Atlas. https://1001smartcities.org/projects/brasilia-simlur-cleaning-monitoring/ (last verified 2026-08-10). Data: CC BY 4.0.

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

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