Big Blue monitors everything that moves in Swedish capital, Bork Bork Bork

happygeek 0 Tallied Votes 426 Views Share

First we had the news that IBM was helping clean up crime in the US and UK, now it seems that Sweden is getting a touch of the Big Blue Brother effect. The city of Stockholm is launching a project using IBM's streaming analytics technology in order to gather real-time information on, well, pretty much everything that moves.

Working in collaboration with the KTH Royal Institute of Technology the project is already gathering real-time data from the GPS devices installed in some 1500 taxi cabs and will soon add delivery trucks, traffic cameras, traffic light sensors, rail systems and weather information to the 'we are watching you' party.

Unlike the UK which is drowning in CCTV cameras that watch our every move, and all under the government spun umbrella of 'preventing terrorism and crime' which is meant to somehow make it appear less invasive and more worthy, the citizens of Sweden should not fear any creeping state surveillance it would appear. Not least as Big Brother is not watching you, the resident, but rather the traffic within the city of Stockholm and doing so in order to provide both the city and residents real-time information on traffic flow and so provide the best commuting options.

So, for example, a Stockholm resident will be able to send a text message listing their location and desired destination which would initiate a real-time traffic, rail and weather information analysis to provide anticipated travel times via car and public transportation, giving the texter an accurate and instant view of the fastest way to get to their destination. Sort of satnav on steroids for everyone, if you like.

Over the last year, IBM has worked with the city of Stockholm in monitoring traffic flow during peak hours using a (also known as congestion charging, although that's a little less media friendly) which has already reduced traffic in the Swedish capital by some 20 percent and further reduced the average travel time by close on 50 percent. If that were not impressive enough, emissions have dropped by 10 percent.

While Stockholm might be leading the way, this project is relevant to cities around the world. America’s congested roadways cost $78 billion annually, when you combine the billions of hours in lost productivity and 2.9 billion gallons of wasted gas. With population rates growing and more people moving from rural to urban areas to the traffic congestion problem isn’t going to solve itself. Cities face financial and physical limitations when it comes to expanding their roadways.

"IBM streaming analytics technology’s ability to combine different types of data and analyze it in real time is critical in pushing the boundaries of our research" said Haris Koutsopoulos professor, transportation and logistics division, KTH who concludes that "together we are changing how people will think of their commute and how cities manage traffic".

Dani AI

Generated

As described, Stockholm ran a city-scale trial using live vehicle and sensor feeds to improve mobility. asked about budget and whether U.S. cities could do this — both good questions that the original posts don’t fully unpack. Below is a concise, practitioner-focused checklist to help a planner or DB/cloud engineer scope a realistic pilot without getting lost in marketing claims.

Break the budget into clear buckets: device and connectivity costs, platform compute and storage (cloud or on‑prem), software/licensing, integration and development, operational staffing, and governance/community engagement. In practice the largest, ongoing costs are integration, ops and policy/compliance work — not the individual sensors. Start with a small pilot to measure per‑device telemetry volume and operator hours; use those measured rates to extrapolate infrastructure and staffing costs instead of guessing.

For the data/design side: ingest telemetry as append‑only time-series, enrich in-stream with contextual feeds, and push real‑time aggregates into denormalized stores for low‑latency queries. Use geospatial indexes and partition by time/region. Keep raw high-resolution data only as long as necessary and maintain TTLs and downsampled aggregates for analytics. Design idempotent ingestion, handle out‑of‑order events, ensure time sync, and provide a replay/backfill path for corrections. Validate with synthetic incident spikes to size throughput and failover needs.

Finally, governance decides adoption. Publish clear data‑use policies, anonymize or aggregate before public release, limit retention, and provide independent audits or transparency dashboards. U.S. cities are likelier to move from pilot to production when measurable commuter benefits and strong privacy safeguards are both demonstrated.

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Not least as Big Brother is not watching you, the resident, but rather the traffic within the city of Stockholm and doing so in order to provide both the city and residents real-time information on traffic flow and so provide the best commuting options.

I couldn't find article on how much budget they spend on this Monitor.

If this work, then the US cities should really look into this.

But I doubt that ever will happend.

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