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Wyoming leads in vehicle miles traveled per person

Green Car Congress

Total vehicle miles traveled (VMT) by all vehicles in the United States vary greatly across the individual states. Because total VMT depends, in part, on the size of the population, of interest in this study was the variation among the states in vehicle miles traveled per person (VMT per person).

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More people in the vehicle means less fuel use per person: Comparing SUVs and cars

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However, in the United States, the typical occupancy is higher for SUVs than for cars. The analysis used the following data for cars and for SUVs: Average real-world vehicle fuel economy for model year 2017 vehicles (based on the information from the Environmental Protection Agency ). by Michael Sivak.

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BMW launches new head unit for SAE Level 2+ automation with HERE HD Live Map

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HERE Technologies announced the BMW Group is utilizing the HERE HD Live Map, HERE’s high-definition map, to enable hands-free driving in the United States and Canada. The lane-level data serves as a redundant source of information to the onboard sensors, providing additional safety assurances for the system.

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LADOT wins $2M grant for DTLA “Code the Curb” pilot

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The United States Department of Transportation (USDOT) awarded the Los Angeles Department of Transportation (LADOT) $2 million through the Strengthening Mobility and Revolutionizing Transportation (SMART) grant program. Personal identifying information such as license plates or images of persons is excluded from data collection.

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EIA: Crude oil demand returns faster than supply, increasing prices and reducing inventories

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The price of US benchmark West Texas Intermediate (WTI) crude oil is near its highest level since 2014, increasing rapidly from low prices in mid-2020 as demand returns faster than supply, according to the US Energy Information Administration (EIA). Crude oil inventories reached a recent low of 413.9

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Ford launches app developer challenge to improve consumer understanding of personal fuel efficiency

Green Car Congress

Ford launched a $50,000 challenge for software developers to write innovative apps to help consumers better understand and improve their personal fuel efficiency. Participants will have access to Ford’s OpenXC connectivity research platform as a sandbox to create and test their ideas for the Personalized Fuel Efficiency Apps Challenge.

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Machine learning PODA model projects the impact of COVID-19 on US motor gasoline demand

Green Car Congress

The PODA model is a machine-learning-based model to project the US gasoline demand using COVID-19 pandemic data, government policies and demographic information. Their open-access paper appears in the journal Nature Energy. The Motor Gasoline Demand Estimation Module quantifies motor gasoline demands due to the changes in travel mobility.

Gasoline 505