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.
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.
There have been many packages in R developed for handling trajectory data, however each package is limited to a specific domain and does not provide functionality for general purpose trajectory analysis and visualization. This Google Summer of Code 2020 project aims to generalize trajectory analysis and visualization by creating a package named traviz.
In this Google Summer of Code 2020 project, we propose to build a new Web Processing Service (WPS) client named wps-js-ng written in the Angular 9 framework with module classes written in typescript. It will be an extension to the 52°North’s wps-js project, which provides encoding and parsing of the basic WPS Requests/Response (such as GetCapabilities, DescribeProcess, Execute, GetStatus and GetResult). This new client will conform to the latest OGC WPS 2.0 standards and is mainly targeted for clients using Angular programming language, who can simply import the library and have all the model classes and modules generated by running simple angular commands.