In my project “Trajectory Analytics Toolbox”, I will be creating a general-purpose trajectory analytics toolbox in R. See my first blog post for more background information.
It’s been some fun time working on the enviroCar Android App. In this midterm blog post, I will give an overview of the achievements I’ve reached since the start of the coding phase to the work done until the start of the midterm evaluation.
The overarching goal of the project is to improve the car selection process in the enviroCar Android app by integrating previously defined datasets of vehicles. This is app side implementation. For more information about this project, feel free to read the introductory blog post. The following blog post highlights the core tasks and achievements during the first four weeks of this project.
The main goal of developing the Angular WPS Client Library was to support developers creating new WPS clients in Angular by making the library easy to import and use. The developers will know in adavance the Type information of the request & response objects exchanged with the WPS server since Typescript is a statically typed language. Another benefit of creating this WPS library in angular is the IDE friendliness with features such as Auto-completion and Compile Time Error detection.
During Google Summer of Code 2020, I will be working on an enviroCar Android app, which is one of the 52° North GSoC projects. The project is based on sustainable mobility. The main goal of the enviroCar app is to collect track data and analyze data to reduce the costs of running a car and to advance effective traffic planning.
The question is, is this data dependent on the car type? Of course yes! The data is fully dependent on the car type because of different engine displacement and power, which in term lead to different CO2 emissions. Currently, enviroCar app is flexible for creating artificial types of cars with user-defined attribute values, like adding engine displacement and power value to any undefined or nonexistent value.