stevenglasford / minneapolis-sumo

This is an analysis on the city of Minneapolis that is attempting to alter the city streets in order to increase transportation for all types with an emphasis on increasing modes other than cars. This uses real data from the city of Minneapolis and the Minnesota Department of Transportation to simulate networks of mobility for a program called SUMO

This repository was created to inspect and model real traffic in the city of Minneapolis, MN using data from different government sources to include vehicle capacity per day, foor traffic trips in the city, and data from the Metropolitian Council in an effort to test a new type of city grid overlay called "Remove Three". There is a document in this repo that explains more of this as well as serving as the basis for a letter to legistature of Minnesota, the Metropolitian Council, and the city council of Minneapolis.

The goal of this project is to increase pedestrian safety regardless of weather and placement within the city of Minneapolis. But in an attempt to quell fears of a transit/bike takeover an attempt is made to save all current street parking placements, furthermore, the basis of this is to provide a plan that benefits all forms of traffic in the city in a demonstrable and detectable fashion. I am unsure if this "Remove Three" plan will work but I hope it does as doing so would increase safety, reduce congestion, and improve air quality, improve bicycle safety, provide for accodations for winter/northern cities, improve transit in the city of Minneapolis.

This project also is attempting to create an extremely easy to implement system with as few costs for the city as possible and to rely on already existing public works department utilities (such as just using signs and lines)

Here is what I have done:

1. Isolated the city of Minneapolis using OSM and JOSM to create a grid of bare streets of the city.
2. imported the city streets of Minneapolis to OSM.
3. Collected all of the raw data needed for this project to work

What needs to be done:

1. A python script that is able to merge all of the data from the raw sources in a fashion that is useful for SUMO must be created.
2. A comparison of the regular simulation of traffic should be made comparing

a. the transit times, on-time-performance of transit b. the placements of bike-to-car interactions should be counted c. Average speed of vehicles in the city should be measured (it should be as close to 20mph for safety reasons) a decrease in average vehicle speed should be a desired. d. commute times for regular trips for a vehicle. e. frequency of traffic jams should be counted. f. Among any other perhaps interesting analysis can be added as well