Can Big Data Stop Traffic Jams?

Can Big Data Stop Traffic Jams?

Can Big Data Stop Traffic Jams?

Can Big Data Stop Traffic Jams? 800 507 Exist Software Labs Inc.

You’re probably thinking that I’ve just arrived at the office — well, that may be true for some. I’ve only read and heard pieces of information about the truck at C5 that had malfunctioned brakes which hit 8 other vehicles, flipped, and spilled its cargo — eventually blocked several lanes and caused the horrendous traffic over the east side of Metro Manila this morning.


Big Data and Traffic

Courtesy of @whamosdlrosario (originally posted to Rappler)


And here I am thinking about the thought of turning on Waze this morning. As somebody had already said, “Why should I even bother turning on the traffic report this morning?” when as I had predicted, traffic was going to be heavy. I did turn on Waze but I was already stuck in heavy traffic.

At the very least though, we now have come to a point where we can already plan ahead. Yes, there are still reporters flying in helicopters — watching and then gathering traffic data — but with smart phones, Google Maps and social media — we now know our options. Waze’s living and breathing maps that change every so often has in a way given us ‘true real-time’ analysis of the traffic’ around us as well as the traffic along our intended route. Waze is enabling us to better navigate for a ‘generally less stressful trip‘.

But can Big Data really stop traffic jams?

Let’s take the Dublin public transport example. March of this year, Dublin City Council had deployed an intelligent traffic control solution to improve public transport services. With ‘near’ real-time information of bus movements and dynamic digital map and camera feeds, controllers could more quickly identify congestion in its early stages and gather information needed to mitigate the impact on affected areas. In addition, by making underlying bus fleet trends more transparent to planners, Dublin City Council can also more effectively manage resources and optimize bus routes to help save energy and reduce pollution.


With Big Data giving Dublin more information on what’s happening, will Big Data then be able to help Metro Manila?


Here’s the story about today’s traffic culprit.

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