The Regional Transportation District, more commonly referred to as RTD, is the regional agency operating public transit services in Denver. RTD has an open data platform that publishes:
We will use the real-time data feed to first store some data and then use freshly released Unfolded studio to visualize bus movements. It is possible to use Uber’s Kepler.gl to achieve the same result.
While looking for examples about how to download GTFS real-time…
I was recently working on collecting traffic data for a state highway going through mountains and I decided to investigate the effects of snowfall on traffic operations. While looking for similar studies, I found this research study from China looking at the impact of rain on traffic.
I thought I would follow a similar approach to understand snow impacts and create a simplified macroscopic fundamental diagram (MFD) to summarize traffic operations. To achieve this objective, I collected traffic data for state highway (SH) 285 and climate data from a nearby weather station. The gathered data are summarized below:
Analyzing Bike Ridership Trends
If you have read my last story, I promised that I would take a look at the change of bicycle counts before and after the pandemic. This story will talk about visualizing the change in bicycle counts and comment on the results.
The CDOT website allows you to find stations with continuous counts. I found nine stations that have bicycle counts in 2020. However, some of them had…
It’s been a while since the last time I published an article. I had a little bit of spare time in between jobs. So, I decided to write a new one that explains how to download publicly available bike data from the city of Denver and visualize it using KeplerGl library for Python.
By the way, I started working as a Lead Traffic Modeler at Ulteig. Please check out the company and if you are in the transportation business, hit me up!
This article has actually become the first part of a series. The reason I started doing…
H3 is a geospatial indexing system developed and open sourced by Uber. It provides functions for converting latitude/longitude coordinates into H3 geospatial hexagonal tiles.
As a transportation engineer, we do use zones and zoning in our analyses a lot. However, manually drawn partitions of maps have limitations, such as the center of a zone not representing the center of the data points, unequal number of neighbors and unequal distances to neighbors, and some other undesirable boundary effects.
We realized that there is no application that reports NBA results of the day on Slack during one of our meaningless conversations about sports. Since it was the long weekend, I started to look for potential resources I can utilize to bring the scores to our slack channel.
Reading Matt Makai’s post about how to build a slack bot with python, I was able to initialize the first version of the bot following the steps explained here:
The next step was to find a way to reliable get live scores. …
While looking for libraries to create animated plots, I found this gem. I thought this was new but it looks like it s been there for a while. Tweenr library makes your gganimate transitions smoother by including more frames in between. I will show an example below.
Since I am a transportation engineer, I wanted to download some traffic data. Therefore, I used Caltrans PEMS tool. I downloaded traffic data for 3 days including Feb 5th, 7th and 9th — Monday, Wednesday, and Friday respectively. I wanted to show my students the change in speed for 3 different days. …
To use deck.gl you need
First, we need Node.js installation. I am using a Windows machine, thus, I used the installation file provided below.
However, I downloaded this months ago. I needed to update my npm by running a PowerShell as an Administrator on Windows and run following commands. You may skip it if you freshly installed npm.
Set-ExecutionPolicy Unrestricted -Scope CurrentUser -Force
npm install -g npm-windows-upgrade
The first one is pretty important. After updating my npm, I tried to run
npm install --save deck.gl luma.gl
as it stated on Uber’s github. However, I…
Let’s first load the library we are going to use in R.
This is a Markdown document. If you are interested about how to do similar HTML pages, please visit: http://rmarkdown.rstudio.com
We stored MTA Bustime Data using their API for a day for all the buses and converted it into pings.csv
# Read the input into a dataframe df <- read.csv("../Data/pings.csv", head=TRUE, skip=1) # Check the class of the RecordedAtTime column class(df$RecordedAtTime)##  "factor"# convert the class of the RecordedAtTime column
df$RecordedAtTime <- as.POSIXlt(df$RecordedAtTime) # Extract hour from the column head(df$RecordedAtTime$hour)##  7 8 7 8…
sudo nano /etc/machine-info
PRETTY_HOSTNAME=device-namesudo apt-get update
sudo apt-get upgrade
sudo apt-get install sqlite3
sudo apt-get install python-pcapy
sudo apt-get install libssl-dev # you have to install this
sudo apt-get install sqlite3 build-essential libssl-dev libnl-3-dev libnl-genl-3-dev install python-pcapy PyOBEX PyBluez python-bluetooth ethtool
tar -zxvf aircrack-ng-1.2-rc4.tar.gz
sudo make install
sudo airmon-ng start wlan0
sudo apt-get install iwfix the date
sudo dpkg-reconfigure tzdatasudo crontab -e@reboot sh /home/pi/wifi/launcher.sh >/home/pi/wifi/logs/cronlog 2>&1Dropbox Uploader
git clone https://github.com/andreafabrizi/Dropbox-Uploader.git
./dropbox_uploader.shSend Bluetooth Message sudo apt-get install python-setuptools python-dev build-essential
sudo pip install PyOBEX
Lead Traffic Modeler @Ulteig