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.
The enviroCar platform offers a broad range of data about traffic that can be used by different stakeholder groups. Fuel consumption is of special interest, e.g. when trying to understand the environmental impact of traffic or when trying to minimize fuel consumption by individual drivers. In enviroCar, there are currently two models to calculate fuel consumption: 1) using motor data from the on-board diagnostics (OBD) and 2) using GPS data from mobile phones running the enviroCar app.