Create a Tracker to Analyze Gas Mileage Using Wolfram Tech
When I first started driving in high school, I had to pay for my own gas. Since I was also saving for college, I had to be careful about my spending, so I started manually tracking how much I was paying for gas in a spreadsheet and calculating how much gas I was using. Whenever I filled my tank, I kept the receipts and wrote down how many miles I’d traveled and how many gallons I’d used. Every few weeks, I would manually enter all of this information into the spreadsheet and plot out the costs and the amount of fuel I had used. This process helped me both visualize how much money I was spending on fuel and manage my budget.
Once I got to college, however, I got a more fuel-efficient car and my schedule got a lot busier, so I didn’t have the time to track my fuel consumption like this anymore. Now I work at Wolfram Research and I’m still really busy, but the cool thing is that I can use our company technology to more easily accomplish my automotive assessments.
After completing this easy project using the Wolfram Cloud’s web form and automated reporting capabilities, I don’t have to spend much time at all to keep track of my fuel usage and other information.
Tracking MPG with Web Forms
To start this project, I needed a way to store the data. I’ve found that the Wolfram Data Drop is a convenient way to store and access data for many of my projects.
I created a databin to store the data with just one line of Wolfram Language code:
Basic Web Form
Next, I needed to design a web form that I could use to log the data to the Databin. I used FormFunction to set up a basic one to record gallons of fuel used (from filling the tank each time) and trip distance (from reading the car’s onboard computer).
I also added another field for the date and time of the trip, so that I could add data retroactively (e.g. entering data from old receipts).
I used the DateString function to create an approximate time stamp for submitting data:
This form works in the notebook interface, but it isn’t accessible from anywhere but my Mathematica notebook. If you want it to access it on the web or from a phone, you need to deploy it to the cloud.
Conveniently, you can do this with just one more line of code using CloudDeploy:
Extended Form: More Data, Better Appearance
If that’s all you wanted to record, you could stop there. After just a few lines of code, the form created will log distance traveled and fuel used, but there’s quite a bit more data that is available while at a gas station.
A typical car’s dashboard shows average speed and odometer readings from the onboard computer. Additionally, most newer cars will report an estimation of the average gas mileage on a per-trip basis, so I designed the following form that makes it easy to test the accuracy of those readings.
I also added a field to record the location by logging the city where I am filling up with the help of Interpreter. I used $GeoLocationCity and CityData to pre-populate this field so I don’t have to type it out each time.
Finally, if you’re saving for college like I was, you’ll want to record the total price too.
All of these data points can be helpful for tracking fuel consumption, efficiency and more.
Making It Accessible
Now that I have a working form, I need to be able to access it when I’m at a gas station.
I almost always have my smartphone on me, so I can use URLShorten to make a simpler web address that I can type quickly:
Or I can avoid typing out a URL altogether by making a QR code with BarcodeImage, which I can read with my phone’s camera application:
Once I accessed the form on my phone, I added it as a button on my home screen, which makes returning to the form when I’m at a gas station very easy:
Visualizing and Analyzing MPG Data
If you’re following along, at this point you can just start logging data by using the form; I personally have been logging this data for my car for over a year now. But what can I do with all of this data?
With the help of more than 5,000 built-in functions, including a wealth of visualization functions, the possibilities are almost limitless.
I started by querying for the data in my car’s databin with Dataset:
I can also see the gas mileage over the course of the past year with TimeSeries:
Analyzing Gas Mileage Factors
I often wonder what I can do to improve my gas mileage. I know that there are many factors at play here: driving habits, highway/city driving, the weather—just to name a few. With the Wolfram Language, I can see the effects of some of these on my car’s gas mileage.
I can start by looking at my average speed to compare the effects of highway and city driving and compute the correlation:
It’s pretty clear from the plot that at higher average speeds, gas mileage is higher, but it does appear to eventually level off and somewhat decrease. This makes sense because although a higher average speed indicates less city driving (less stop-and-go traffic), it does require burning more fuel to maintain a higher speed. For example, on the interstate, the engine might be running above its optimal RPM, there will be more wind resistance, etc.
With the help of WeatherData, I can also see if there is a correlation with gas mileage and temperature. I can compute the mean temperature for each trip by taking the mean temperatures of each day between the times that I filled up:
The correlation is weaker, but there is a relationship:
I can also visualize both correlations for the average speed and temperature in 3D space by using miles per gallon as the “height”:
It’s also clear from this plot that gas mileage is positively correlated with both temperature and average speed.
Now that I have code to visualize and analyze the data, I need some way to automate this process when I’m away from my computer. For example, I can set up a template notebook that can generate reports in the cloud.
To do this, you can use CreateNotebook["Template"] or File > New > Template Notebook
(File > New > Template in the cloud).
I can test the report generation locally by using GenerateDocument (or with the Generate button in the template notebook):
From here, I can generate a report every time I submit the form by adding this code to the form’s action. But first I need to upload the template notebook to the cloud with CopyFile (alternatively, you can upload it via the web interface):
Now I can update the form to generate the report, and then use HTTPRedirect to open the report as soon as it is finished:
That is a basic report. Of course, it’s easy to add more to the template, which I’ve done here, incorporating some of the plots I created before, as well as a few more. Again, I can generate the advanced report to test the template:
Seeing that it works, I can upload the template to the cloud:
Lastly, I need to update the form to use the new template and then deploy it:
With this setup, I can always access the latest report at the URL the form redirects me to, so I find it handy to also keep it on my phone’s home screen next to the button for the form:
Now you can see how simple it is to use the Wolfram Language to collect and analyze data from your vehicle. I started with a web form and a databin to collect and store information. Then, for convenience, I worked on accessing these through my smartphone. In order to analyze the data, I created visualizations with relevant variables. Finally, I automated the process so that my data collection will generate updated reports as I add new data. Altogether, this is a vast improvement over the manual spreadsheet method that I used when I was in high school.
Now that you see how quick and easy it is to set this up, give it a try yourself! Factor in other variables or try different visualizations, and maybe you can find other correlations. There’s a lot you can do with just a little Wolfram Language code!
Download this post as a Computable Document Format (CDF) file. New to CDF? Get your copy for free with this one-time download.