Modelling the Dynamics of Traffic Congestion and Urban Air Pollution Hot Spots


MIT Study devises new algorithm to predict traffic patterns (Becca DeGregorio, The Daily Free Press, Nov. 13, 2014)

Also discussed here: Understanding Road Usage Patterns in Urban Areas (6 page pdf, Pu Wang, Timothy Hunter, Alexandre M. Bayen, Katja Schechtner & Marta C. Gonzalez, Scientific Reports, Nature, Dec. 20, 2012)

And here: Phone data helps pinpoint source of traffic congestion (On Balance, Dept. Civil and Environmental Engineering, Massachusetts Institute of Technology, Jan. 2013)

And here:

(48 sec You-Tube, Marta Gonzalez, Dec. 8, 2013)

And here: Gridlock Traced to Just a Few Key Commuters (Rocket News, Dec. 21, 2012)

Today we review research from MIT aimed at diagnosing the dynamics of traffic congestion using mobile phone records and population and origin-destination statistics to identify key congested road segments that lead to major congestion across major cities such as San Francisco and Boston. These congested areas rapidly lead to high levels of pollution that affect the entire urban area which puts both drivers and others such as cyclists who use the roads at risk to their health. Better design of the road network and method to reduce traffic peaks such as congestion pricing are offered as solutions.

traffic congestion

To see Key Quotes and Links to key reports about this post, click HERE

 
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