The Center for Automotive Research is involved in the research of significant issues that relate to the future direction of the global automotive industry. As a nonprofit research organization, and in cooperation with study funders, most CAR research is released publicly through this website.

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The Impact of New Mobility Services on the Automotive Industry

The rise of new mobility services (NMS) is part of a bigger and long-term gradual evolution of transportation preferences toward on-demand shared mobility in a multimodal system. CAR researchers have conducted an investigation with a focus on how these services are likely to impact the automotive industry. The report describes…

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Potential Cost Savings and Additional Benefits of Convergence of Safety Regulations between the United States and the European Union

This report examines the costs of divergent safety regulations in the United States and the European Union and highlights the economic impacts of having two different regulatory regimes. With the shift to a to a global-vehicle strategy by most automotive manufacturers, differences in safety regulations in the United States and…

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Impact of Automated Vehicle Technologies on Driver Skills

CAR researchers analyze the impacts of technological dependence on the driving skills and the ability of an operator to resume operation of the vehicle in the event of an automated vehicle (AV) failure or limitation. The findings presented in this work are based on the most recent research on the…

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Performance Based Planning and Programming for Pavement Management

Emerging technologies, such as connected and automated vehicle technology, offer new sources of data pertaining to the condition of infrastructure. In this report, CAR researchers examine the potential for using novel data sources for pavement condition assessment. The data sources considered include: smartphone apps and crowdsourcing, automated vehicle systems data,…

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Public Perceptions of Connected and Automated Vehicle Technologies

This report, commissioned by the Michigan Department of Transportation (MDOT), presents findings from research on public perceptions of connected and automated vehicle (CAV) technologies. The results of this research stem from a series of interviews with test drivers who participated in a connected vehicle-to-infrastructure (V2I) demonstration and from a web-based…

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Identifying Real World Barriers to Implementing Lightweighting Technologies and Challenges in Estimating the Increase in Costs

Automakers have made great strides in lightweighting vehicles as a means to help achieve greater fuel efficiency. However, vehicle manufacturers face real-world challenges in finding cost-effective ways to continue implementing further mass reduction solutions needed to off-set weight gains due to increased demand for comfort, convenience, and safety technology. Regulators…

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Global Harmonization of Connected Vehicle Communication Standards

This report examines international efforts to develop “harmonized” connected vehicle standards that would enable automakers, governments, and technology developers to, at a minimum, adopt analogous conceptual and technological frameworks across markets. While many barriers stand in the way of a truly “Globally Harmonized Standard” for Connected-ITS applications, this report discusses…

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International Survey of Best Practices in Connected and Automated Vehicle Technologies – 2015 Update

This report, completed for the Michigan Department of Transportation (MDOT), is the most recent in a series of annual updates on domestic and international CAV programs. The database underlying this report was originally compiled by CAR in 2010, and it has been updated regularly. As of December 2015, the database…

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Meeting U.S. Passenger Vehicle Emissions Standards: Greenhouse Gas Credits Balance

The automotive industry is charged with reducing greenhouse gas (GHG) emissions of its fleet to an estimated average of 163 gCO2 per mile (equivalent to 54.5 MPG) by the year 2025.1 From now through the year 2025, the standards for GHG emissions in the United States will become more stringent…

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Use of Data from Connected and Automated Vehicles for Travel Demand Modeling

Travel demand modeling is a crucial component of transportation planning and system management. Unfortunately, creating an accurate model of network traffic patterns can be difficult and time consuming. The calibration and validation of travel demand modeling requires the use of extensive datasets that describe the travel characteristics of people in…

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