{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fpods-of-science.simplecast.com%2Fepisodes%2Fhow-to-deliver-a-package-on-time-PbaHwsGu","width":444,"version":"1.0","type":"rich","title":"How to Deliver a Package on Time ","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/3f633704-8221-4c4c-88cf-9430a5a1042c/59e62d33-890c-4042-881a-44a1e2cb1ecd/108812871-10223815129430805-8533194097912262996-o.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/2485cd18-62ef-4d44-8539-790e9bc7aca9\" height=\"200\" width=\"100%\" title=\"How to Deliver a Package on Time \" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Researchers at the Department of Energy’s Pacific Northwest National Laboratory are contributing their expertise in artificial intelligence, machine learning, and app development to a project that will ease challenges with urban freight delivery, an experience especially difficult during the holidays.\n\nThe entire project—funded with $1.5 million by DOE’s Office of Energy Efficiency and Renewable Energy’s Vehicle Technologies Office and led by the University of Washington’s Urban Freight Lab—will develop, test, and improve technologies aimed at cutting time spent by the driver at the curb, increasing productivity, and reducing time and fuel spent searching for available parking.\n"}