Study: Self-driving Cars Could Raise VMT by 6%, Increasing Congestion

A recent study by the University of Texas-Arlington analyzed the potential impact of self-driving cars on traffic in U.S. cities. The study found that a major shift towards autonomous cars could lead to a 6% increase in vehicle miles traveled (VMT), resulting in increased congestion. Autonomous taxis are already being introduced in cities like San Francisco, California, and the study's findings suggest that policymakers should consider the potential effects of self-driving cars on urban planning and infrastructure.

What Happened

The University of Texas-Arlington study examined the potential consequences of a widespread adoption of self-driving cars in U.S. cities. The analysis revealed that the increased convenience and reduced costs associated with autonomous vehicles could lead to a rise in VMT, as people may be more likely to use cars for transportation.

Why It Matters

The study's findings are significant because they suggest that self-driving cars may not necessarily reduce traffic congestion, as previously thought. Instead, the increased VMT could lead to more cars on the road, exacerbating existing traffic problems.

What's Next

Policymakers and urban planners will need to consider the potential impacts of self-driving cars on traffic and infrastructure. This may involve implementing strategies to mitigate the effects of increased VMT, such as investing in public transportation or promoting alternative modes of transportation.

Source: planetizen.com. Read the original story →