In-Vehicle Computing-based BSM Reuse Model

These days, the most current disruptive trend in the auto industry is not “electric engines” but specifically the data collection engine that many cars will be equipped with in the future. One of the most glamorous areas that present many challenges as we progress is transport data sources. As we know, data becomes more useful the more it's used, which is the exact opposite of what happens with the Basic Safety Messages (BSM) exist only temporarily, used locally and are never stored. However, this frequently generated data by connected vehicles can play a primordial role in providing transport data see credible and reliable information they contain. In this paper, we propose a data reuse model that retains collected BSMs, stores and processes them inside the vehicle to provide a continuous data source containing stored snapshots for every stretch of roadway. These continuous data could be sent to roadside DSRC units, streamed over digital cellular, Wi-Fi, or through a combination of all to provide broad-scale applications with needed information. The main novelty of our reusing model is its contribution to change the way BSM is treated, making it more valued, resulting in a reliable and useful data source. Moreover, given that our model relies on In-Vehicle Computing (IVC) paradigm, its strongest potential is, therefore, its capability of facilitates data processing at or near the source of data generation while optimizing bandwidth and reducing latency to rapidly provide data of value to drivers, pedestrians and transportation agencies.