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.
This post will also be EGU Session ITS1.8/SSS1.1/EOS2.3/CL5.10/HS12.7/SM3.3 Display D2462 at EGU2020: Sharing Geoscience Online. We will participate in the chat on Monday, 4 May 2020, 10:45–12:30 to discuss our approach and findings.
Improving the provision of information for traffic management and environmentally conscious driving
The CITRAM project aims to improve traffic quality in cities with the help of floating car data provided by citizens. In the course of the project, the partners develop a set of coordinated tools addressing the aim of CITRAM. The citizen science platform enviroCar is used for the collection of floating car data (FCD) in three German cities. This FCD is used in newly developed postprocessing services that derive traffic quality characteristics as valuable input for traffic planers. To support citizens in an eco-friendly driving manner, the consortium also developed a traffic light assistant app ([ui!] ECOMAT). This enables a foresighted driving style in urban traffic. In order to collect a variety of trajectories, citizens are encouraged to collect data in designated campaigns while driving their day-to-day routes with combustion and electric cars. These collected trajectories are anonymized, stored and published under an open data policy in a central server.
This post will also be EGU Session ERE1.1 Display D924 at EGU2020: Sharing Geoscience Online. We will participate in the chat on Tuesday, May 5th from 8:30 to 10:15 to discuss our approach and findings. You can join the discussion on our parallel medium.com story.
Estimating fuel consumption of cars based on movement data and its sensitivity to car and movement specific properties
The transportation sector is responsible for approximately 20 percent of global CO2 emissions, most of which are produced by road traffic. Moreover, emissions are rising and are rising faster than in other sectors. Reducing these emissions is crucial to reaching the goals of the 2016 Paris agreement. Efficient reduction strategies and their monitoring rely on broad and exact data about passenger car fuel consumption and emissions.
The Android client of the enviroCar project helps users collect data about their tracks, including but not limited to, speed, fuel consumption and CO2 production. This data is obtained through an OBD-II adapter that the app connects to via Bluetooth. While there is plenty of data being collected from the adapter, a lot of it wasn’t being visualized. In addition to this, there were a few changes that I felt could be made to the application that would help improve the user experience.