An Evaluation Environment and Methodology for Automotive Media Streaming Applications

Abstract

Media streaming in automotive environments is becoming more important with the proliferation of 3G/4G technologies and the general demand for consuming Internet content in cars. Especially the rising popularity of Music on Demand and Media Cloud Storage services pushes automotive manufactures efforts to provide decent music streaming capabilities in vehicles. Two major issues have to be tackled to achieve this goal. 1) Weak or even uncovered areas in tunnels, underpasses or urban canyons. 2) Exhausted mobile network capabilities at crowded spots. Buffering can help to overcome the first issue. However, it consequently worsens the second issue due to its additional bandwidth demand. For this reason, the implementation of reasonable music streaming solutions in the car needs novel prefetching algorithms which reduce caching to the minimum and optimize bandwidth sharing between users. In this paper, we present a comprehensive simulation environment and evaluation methodology to develop and assess such prefetching algorithms.

On site-specific propagation models for the evaluation of V2X applications

“…In future work, the application needs to be improved with a component that forwards the warning information to other shadowed vehicles. Besides, we want to investigate a different approach that uses cellular technologies for the communication [14].…”

Scenario Definition for Prototyping Cooperative Advanced Driver Assistance Systems

“…Similar to the approach of modeling sensors, our simulator should provide models for V2X and cellular communication [10] allowing for easy parametrization of at least the following parameters: delay, packet lost, range, and bandwidth. Again, we provide the ability to hook up further custom models.…”

A Rapid Prototyping Environment for Cooperative Advanced Driver Assistance Systems

“…Defining such routes, however, may become more and more time-consuming with a growing number of vehicles and larger simulation scenarios as, for example, needed for PACE. In order to reduce the effort for developers, in addition to speed annotations, a set of basic driver behaviors and related features should be provided by our simulator, such as the following: (i) Autonomous, microscopic driver behaviors regarding traffic [26], including, stopping in front of red traffic lights, giving way, regarding speed limits, and avoiding collisions with other vehicles and objects (ii) Scripted maneuvers defined by developers as part of the scenario definition like speed changes and braking maneuvers that can be triggered by the environment, as required by CACC (iii) Parameterization of the maneuvers that need to be varied while prototyping as the driver reaction time and randomized behavior (e.g., swaying in the lane) [12,27]. Additionally, cellular communication might be required to integrate remote information source.…”

“…This could, for instance, be required to include external traffic information in CACC, like positions of occurring traffic jams or constructions sites ahead. Similar to the approach of modelling sensors, our simulator should provide simple set models for V2X and cellular communication [27] including the following parameters for developers to vary: delay, packet lost, range, and bandwidth. Again we provide the ability to hook up further custom models.…”