Share this story.The transport modelling firm Aimsun has announced that it has entered an agreement with Transport for London to convert the London One Model into Aimsun Next traffic modelling software.In a press conference at Traffex, Aimsun explained it has a long working history with TfL and is “proud to provide the software and services for an integrated, multi-level platform for modelling the city’s transport”. It says the idea is not only to consolidate existing models—with all the efficiency, consistency and cost reduction that this implies—but also to update the model and enrich simulation knowledge through enhanced time segments. Using the dynamic model as a starting point, TfL can take a coordinated approach to scheme evaluation, road works and traffic management.Working collaboratively with the TfL Strategic and Surface Modelling teams, Aimsun will deliver an integrated large-scale static (macroscopic) model and a large-scale dynamic (mesoscopic) model that cover the whole of Greater London out to the M25 perimeter.It says the One model will be updated to represent all network and ITS changes that have occurred since the previous model was built in 2014-5. Updates will include 1,500 annual signal timing reviews, inclusion of all the current Cycle Superhighways, the Low Emission Zone, and data from the EDMOND project (Estimating Demand from Mobile Network Data).Gav Jackman, Managing Director of Aimsun Ltd., said, “We are excited to collaborate with the TfL Modelling team to deliver the next level of modelling tools for the UK’s capital.
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Executive SummaryCognitive technologies are increasingly being used to solve business problems; indeed, many executives believe that AI will substantially transform their companies within three years. The ProblemCognitive technologies are increasingly being used to solve business problems, but many of the most ambitious AI projects encounter setbacks or fail. The ApproachCompanies should take an incremental rather than a transformative approach and focus on augmenting rather than replacing human capabilities. The ProcessTo get the most out of AI, firms must understand which technologies perform what types of tasks, create a prioritized portfolio of projects based on business needs, and develop plans to scale up across the company.In 2013, the MD Anderson Cancer Center launched a “moon shot” project: diagnose and recommend treatment plans for certain forms of cancer using IBM’s Watson cognitive system. But in 2017, the project was put on hold after costs topped $62 million—and the system had yet to be used on patients. At the same time, the cancer center’s IT group was experimenting with using cognitive technologies to do much less ambitious jobs, such as making hotel and restaurant recommendations for patients’ families, determining which patients needed help paying bills, and addressing staff IT problems.
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