![]() Using data collected from Caltrans sensors on California highways, the project yielded novel algorithms that achieved accurate prediction on a 15-minute rolling basis. At the end, the combined model is better than any of the single models used in testing in both prediction accuracy and stability. The ensemble model also values recent prediction performance more than older historical performance. In the Berkeley Lab-Caltrans collaboration, the ensemble model takes into account the mutual dependency of sub-models and assigns the ‘shares of vote’ to balance their individual performance with their co-dependency. Although the concept has been explored by machine learning researchers for some time, the traffic flow model is special due to its temporal characteristic traffic flow measurements are correlated over time, as are the prediction results from different individual models. The new system uses ‘ensemble learning’, which is the art of combining a diverse set of learners (individual models) to improve, on the fly, the stability and predictive power of the model. The first iteration of this system will be deployed in the cities of Arcadia, Duarte, Monrovia, and Pasadena in 2020, with plans for future deployments around the state. Using real-time data from partners in southern California at the city, county, and state level, the goal is to improve Caltrans’ real-time decision-making by executing coordinated multijurisdictional traffic incident response plans to limit the negative impacts of these events. We developed Zed OpenStorage based on the Solaris kernel, ZFS file system and DTrace storage analytics.Caltrans and Connected Corridors are implementing the new system on a trial basis in Los Angeles County through the I-210 pilot project. We strives to ensure vendor-neutrality as much as we can in our offerings.Īt ZedFS Systems, we offer both storage infrastructure and software solution called Zed OpenStorage. Storage Networking Academy provides open-technology courses in storage networking (foundation to advanced) as well as Cloud Computing. My day job is to run 2 companies - Storage Networking Academy and ZedFS Systems. I am involved in SNIA (Storage Networking Industry Association) and presently the Chairman of SNIA Malaysia. I introduce technologies with the objectives to get readers to *know the facts*, and use that knowledge to cut through the marketing hypes, FUD (fear, uncertainty and doubt) and other fancy stuff. I write heavily on technologies related to storage networking and data management because that is my area of interest and expertise. I am a technology blogger with 20 years of IT experience. ![]()
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