Sebastian Osswald

Mobility Tracking System for CO2 Footprint Determination

Tracking the mobility behavior of participants with smartphones to determine the CO2 emissions is an overcharging task for researchers. In a fleet test with 52 participants, 9968 datasets were generated, making the manual analysis a long-lasting endeavor. With our work, we are attempting to reduce the analysis time of the generated data and provide in the same way immediate feedback to the participants. We propose an automated mobility tracking system that makes use of a track analyzer that identifies the mode of mobility to calculate CO2 emissions. We will describe the system functions, how the datasets are collected, processed and led back to the users. Based on the setup, calculation accuracy and the feedback from the participants, benefits for user studies in the automotive context are identified. This system will influence the setup of future large data user studies with smartphones.

Prototyping Automotive Cyber-Physical Systems

Cyber-Physical Systems (CPS) in the automotive engineering process address the challenge of focusing on the interaction with physical processes rather than to cope with limited computational resources. The aim is to understand the joint dynamic of software, networks and physical processes, including the human in a vehicle. In the interplay between software and hardware, the user is an integral component and needs to be kept in the loop to understand, validate and control automotive prototypes. With the focus on information systems, this becomes particularly challenging with an increase of information sources. We define four categories to assess the effort for CPS prototyping to point out challenges and potential related to human-in-the-loop requirements.

Taxi Checker: A Mobile Application for Real-Time Taxi Fare Analysis

Taxi customers tend to use their smartphone to call and manage their taxi and even store details about their favorite taxi driver. Nevertheless, they often do not have the possibility to comprehend how the taxi fare is calculated and if it is correct. In our approach, we developed a smartphone application to track the taxi ride and calculate the fare in real time. At the end of the ride, mean cost calculations for three different sources are presented to the user and the tracked data contributes for community-based fare calculation. The application was tested by experts and will be evaluated in a user study to improve the fare calculation pattern.

An Automotive HMI Architecture Based on a Mobile Operating System

Integrating a mobile operating system (OS) into the vehicle as foundation for the vehicles information system is limited to the capabilities of original manufactures, as it is an integral part of the engineering process. Taking advantage of designing and engineering an electric vehicle from scratch, we built up the HMI system architecture based on Android from the early design phase on. We designed the architecture in a way that it gives access to third party developers during the overall engineering process and beyond. In this paper we discuss the engineering process, the features of the system, the difficulties we struggled with and emphasize the advantages of this setup for lower- and medium-class vehicles.

EVIS 2014: 3rd Workshop on Electric Vehicle Information Systems

The effort to push the electric vehicle development worldwide is continuously rising. Production sites for electric vehicle components are built, billions are invested to create new battery electric vehicle concepts (BEV) and new players are entering the market. The information systems of electric vehicles (EVIS) need to cope with a variety of new features that are related to changes of vehicle components and driving behavior, but also with changes and new systems that are silently introduced into the vehicles. Sustainability, mobility concepts and smart mobility are just a few points out of many that can be attributed to the silent category. With this workshop, we continue to bring together researchers, designers and practitioners to explore the related field and generate a state of the art perspective on EVIS.