Big data and Analytics technologies and methodologies to mitigate traffic jams and to improve traffic flow across the world.

As you can imagine, traffic congestions across the world are nothing new. This trend strongly impacts in real-time, our living conditions. But with the emergence of a set methodologies and technologies and sensors related to big data and Analytics, we move from the traditional responses to congestion, such as building new roads or widening existing ones, to assist in real-time, governments to make smarter decisions to improve traffic

flow for their cities.

As part of our global commitment, Connectikpeople.co soon Retinknow® has captured foryou the 4th annual global traffic index, from TomTom (TOM2).

The index reveals that, shortcuts drivers take to avoid congestion are actually ‘longcuts’, adding 50% more travel time to journeys.

Connectikpeople.co soon Retinknow®, observes that, traffic congestion on secondary roads is worse than main roads, and commuters around the world are spending, on average, eight working days a year stuck in traffic. 

For those who are not familiar, Connectikpeople.co soon Retinknow®, recalls that, the Traffic Index is the global measurement of traffic congestion comparing travel times during non-congested hours with travel times in peak hours experienced by passenger vehicles. The Index takes into account both local roads and highways. 

The top ten most congested cities ranked by overall Congestion level in 2013 were:

1		Moscow	74%	6	Palermo	39%
	2	Istanbul	62%	7	Warsaw	39%
	3	Rio de Janeiro	55%	8	Rome	37%
	4	Mexico City	54%	9	Los Angeles	36%
	5	São Paulo	46%	10	Dublin	35%