Tesla crashes into a DPS vehicle in Arizona using autopilot, assisting the earlier crash

A Tesla driver whose vehicle was on autopilot when it encountered a stopped State Trooper car in Arizona remains in the hospital and faces criminal prosecution. (Courtesy photo) Arizona Department of Public Safety Facebook page)

A California man remains in the hospital after his Tesla Model S crashed into an Arizona Department of Public Safety police vehicle on Interstate 10 near Benson early Tuesday.

According to the police, the Tesla driver used the vehicle Autopilot Feature when it picked up the patrol vehicle around 3 a.m. on Tuesday. The patrol car was stopped in the far left lane on I-10 heading east to aid in a previous accident.

As a result of the impact, the patrol car hit the rear of an ambulance at the scene of the accident. The patrol car was empty and the occupants of the ambulance did not report any injuries Arizona DPS Facebook post.

“Scenes like this illustrate how important it is for drivers to remain vigilant, slow down and #MoveOver when lights are flashing and vehicles are on the side of the road,” the article says.

The Tesla driver, a 23-year-old man from Irvine, California, has not been charged with any crime, but an Arizona DPS spokesman says an investigation into the accident is pending.

At least one safety group has urged the National Highway Traffic Safety Administration to call back Teslas using the autopilot feature.

episode the publication of a third crash report of the National Transportation Safety Board last August, which involved a collision between a Tesla with an autopilot and another vehicle, the Center for Auto Safety asked the NHTSA to initiate a recall of Tesla vehicles and stated the use of the term Autopilot by the company “deceiving”.

Despite the accidents, Tesla has long claimed that its advanced driver assistance systems like autopilot and autosteer make its vehicles safer. Critics like the Center for Auto Safety say the systems encourage “over-confidence” from drivers and create more driving distractions.

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