Autonomous vehicle technology is already here: Cars park themselves, alert drivers to impending dangers, and even apply the brakes in emergencies. But what will it take to unlock its potential for major societal benefits?
Although countries with high levels of economic development generally have more personal automobile travel than less-affluent nations, income is not the only factor that determines a nation's demand for cars.
Automobility -- travel in personal vehicles -- varies between countries. This brief summarizes a study of the factors besides economic development that affect automobility and how automobility might evolve in developing countries.
The level of automobility, or travel in personal vehicles, varies among countries. By determining the factors besides economic development that have affected automobility in developed countries, researchers can predict how automobility might evolve in developing countries.
The promise of autonomous vehicles is finally near to being realized and the substantial benefits to society in terms of safety, mobility, and fuel economy cannot be ignored. It is not too early for policy makers to begin to think about the challenges that lie ahead.
This report documents the re-estimation of the mode-destination models in the PRISM model for the West Midlands region of the UK. The models for some purposes represent access mode and station choice, and time of day choice for car drivers.
Self-driving vehicles offer the promise of significant benefits to society, but raise several policy challenges, including the need to update insurance liability regulations and privacy concerns such as who will control the data generated by this technology.
The auto industry has been moving toward more autonomous vehicles for years. Policymakers could benefit from an examination of the technological advances in this area, their benefits and risks, and the potential effects of various regulations — as well as the absence of regulation — on the development of this technology.
To assess congestion charging policies where the charge varies according to the time of day, the Ørestad Transport Model (OTM) for the Greater Copenhagen area has been extended to predict the choice of time of travel for car drivers.