Skip to content
See the World Through ScienceA project of ALLATRA
Source: Peer-reviewedCommunications Engineering1 source

Driverless Cars Kept a Safer Gap. The Drivers Behind Them Did Not

AI & Technology

Republish this story

Our work is licensed under Creative Commons BY-NC 4.0. You may republish this piece for free — with credit to ALLATRA Media and a link to the original, unedited beyond length trims, and not for commercial use.

Read the full license

A white Waymo Jaguar I-Pace with roof-mounted laser scanners drives down a San Francisco street, a motorcyclist riding close behind it.
A motorcyclist follows close behind the driverless car as it rolls toward a crosswalk (illustrative)."San Francisco (CA, USA), California Street, autonomes Fahrzeug (Waymo) -- 2022 -- 2925" by Dietmar Rabich, via wikimedia, CC-BY-SA-4.0

Driverless cars run by Lyft and Waymo kept longer gaps behind the vehicle in front than human drivers did in comparable traffic, while the human drivers following those same driverless cars closed up and left themselves less time to react. The result comes from a peer-reviewed study published Oct. 5, 2026, in Communications Engineering.

The authors' starting point is a design assumption: automated vehicles are programmed to drive smoothly and keep to traffic rules in order to make traffic safer. Whether that works also depends on how the people driving nearby respond to a car that does not behave like a person.

The paper draws on three real-world datasets, covering Lyft driverless cars, Waymo driverless cars and vehicles driven under adaptive cruise control. Rather than comparing car-following events as they arose, the authors matched events by how the lead vehicle's speed was changing, then ran the matched sets through quasi-experiments.

In the Lyft data, the driverless cars followed more smoothly and more safely than human drivers under matched conditions. They held longer time headways, the gap in seconds to the car ahead, and higher time to collision. Human drivers did the opposite. Following a Lyft driverless car, they took shorter time headways and smaller time to collision than when following a car driven by a person, which the authors attribute partly to the greater stability of the automated leader. They call that second result paradoxical. Similar shifts turned up in the other two datasets.

The measurements cover car-following in observed traffic, not a controlled trial, and one behavior among many in driving. The authors describe their contribution as a fuller understanding of how automated vehicles affect traffic safety.

The work was led by Yueying Chu and Peng Liu of Zhejiang University, with Ying Gao and Zhigang Xu of Chang'an University. Communications Engineering has published the accepted manuscript ahead of the final version, noting that it may still be edited.

Sources

Spot an error?

Spot an error?

Report an error

Spotted a mistake on this page? Tell us what's wrong and our editors will take a look.

What kind of problem?

Only if you'd like us to be able to follow up. We won't use it for anything else.

We correct mistakes openly. Select any text to flag it. Fixes are logged under our Corrections Policy.

Report an error

Reporting on

Driverless Cars Kept a Safer Gap. The Drivers Behind Them Did Not

What kind of problem?

Only if you'd like us to be able to follow up. We won't use it for anything else.

We read every report. Corrections are logged publicly.