Macrodata Refinement
Anshum p -
This week, I reverted my focus back to numerical data in hopes of discovering more patterns and trends. I’m still figuring out Synchro, but that should be up and running in a few weeks’ time.
In more exciting news however, I’m beginning phase two of my project as it begins to overlap with phase 1. I will now be examining the best countermeasures to propose based on the data I have compiled, analyzed and mapped. In order to do this, I’ll be using a well known database in transportation engineering: CMF Clearinghouse
Here is a brief explanation of what this is exactly:
CMF Clearinghouse is a huge set of real numbers, all ranging from 0 to infinity (theoretical). These numbers are called CMF’s ( Crash Modification Factors ). Each factor is tied to a countermeasure. As the word suggests, a countermeasure is a change made to a road system to potentially decrease crashes and congestion. This can be anything from a stop sign, new lane, wider lanes, roundabouts, etc. If the CMF factor is less than 1.0, then you know that the change will decrease crashes. If it’s above 1.0, then the change will increase crashes.
One thing that is important to note is that these factors are calculated mostly based on empirical data. The team behind CMF Clearinghouse examines crash data before and after a certain change was implemented, and then uses those findings to calculate a factor. Additionally, they are able to come up with a math equation to represent their factor calculation: Here is an example of a formula that calculates the CMF after a change in lane width of a rural frontage road ( road used in parallel to a major highway to provide access to nearby buildings).
Tomorrow, I will be flying out of Sky Harbor Airport, which is great because I’ll get to see the current road traffic firsthand. I will talk about it in my next blog, which will be on March 24th( two week break ).
That’s it for now!
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