Smart Trip Planning

=   Problem Definition= The goal of the project is to create an app that efficiently plans trips in any given vehicle that has an electronic fuel gauge sensor. Trips will be planned with data retrieved from a device interfacing with the vehicle along with data from a navigation app.

Background
In many states it is a legal liability to use your phone while driving. Even in the places where it isn't a legal liability it leaves you at an elevated level of risk for getting into an accident. Let's say you are running low on gas and want to locate the cheapest gas station nearby. Apps like GasBuddy will allow you to do this. However, you will have to either pull over to use the app or drive at an elevated risk level. You shouldn't be inconvenienced by having to pull over or drive at an elevated risk level to get the information you need. Also, you may not even be able to get this information when you need it if you end up somewhere without a connection. Navigation apps exist which only need your auditory attention to navigate you to your destination. Modern Vehicles have the sensors to provide data needed to predict vehicle range. So, with all of this information you should be able to take a trip without having to inconvenience yourself when this information is needed.

Deliverables
Application Objectives:
 * 1) Compute the Range of Vehicle Using Any Means Listed Below
 * a) Consumption Rate
 * b) Vehicle Payload
 * 2) Locate Available Gas Stations Along Route
 * 3) Recommend Stations Most Efficient to the User
 * 4) Continuously Update Recommendations Based on Current Information

=Design Considerations(In-Progress)=
 * Build off a basic fuel calculation with information we receive from Google Maps and vehicle.
 * Store all gas stations within reach if our predictions in case predictions are incorrect.
 * Be able to navigate to any stored gas station.

=Project Learning(In-Progress)=
 * GitHub is very useful for finding projects that have features we need, so we don't have to reinvent the wheel.
 * Android OBD Reader
 * Android Google Maps API

=Final Design(In-Progress)= To be filled in closer to Engineering Expo.

=Validation(In-Progress)=

Completed

 * Mass Airflow can capture the consumption difference between the A/C on or off.


 * Tested idling and driving fuel consumption totals against fuel percentages and found there was a 0.02% difference and a 0.12632787 Liter difference. Test involved idling ten minutes to get the most accurate starting and final readout with a trip made in between.

Planned
=Team Members=

=Additional Documentation=

Project Schedule

Gantt & Meetings

Meeting Minutes

Minutes Recorded

Presentations

Snapshot 10/13/2020 Snapshot 12/04/2020 Concept Design Review 11/13/2020

Client Interview

Interview Summary