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Peer Review #60

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marleneberke opened this issue Sep 25, 2017 · 0 comments
Open

Peer Review #60

marleneberke opened this issue Sep 25, 2017 · 0 comments

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@marleneberke
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The project is about predicting the number of traffic accidents that will happen in each area based on the features of the area. They will be using data collected from the UK over 5 years to make these predictions.

I like the idea of the study, and I think the results would be really useful. It could, as you described, help towns deploy emergency resources more efficiently, which would be a great use of your data set. Great idea! It would also be awesome if you could predict the road conditions correlated with (and possibly causing) accidents. The features include possible causes of accidents -- like junctions, two-way vs one-way roads, weather conditions, etc, so it looks like such a prediction would be possible. Guesses as to the contributing causes of accidents would be great for fixing the problems. That way, if a town had a particularly bad intersection, they could fix it.

I would have liked to know what your features are without having to download a giant dataset and look myself. Also, there's no key, so I don't know what some of the features stand for or what the 0s or 1s mean for urban vs. rural. I wish you had described the features that you were going to use and described the data better.

It looks like you have a second data set about traffic flow in 10 regions. If you can line that up with the 18,000 areas in your other dataset, you can use the traffic flow features as another way to predict accidents. I like that you are able to incorporate multiple data sets in your project. That seems like a challenge! However, I'm concerned that that might be difficult, and I want to know how you plan to match up the locations. Once again, I wish that you had explained this in your proposal.

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