Autonomous Maserati Sets New Speed Record for Self-Driving Vehicles

An autonomous Maserati MC20 has achieved a remarkable milestone by establishing a new speed record for self-driving production vehicles. The record was set as part of the Indy Autonomous Challenge (IAC) in collaboration with the Politecnico di Milano, marking a significant advancement in automotive technology.

On February 23, the AI-driven Maserati reached a speed of 197.7 mph (approximately 318 km/h) on a designated track at Cape Canaveral, Florida, without any human intervention. This impressive feat builds on previous records in the field of autonomous driving, showcasing the rapid evolution of technology in this area.

The success of this record-setting attempt can be attributed to the PoliMOVE-MSU team, which is part of the Artificial Intelligence Driving Autonomous (AIDA) initiative at Politecnico di Milano. They developed the sophisticated AI software that controlled the vehicle's performance. In 2022, the IAC and PoliMOVE previously set a record with an autonomous vehicle that achieved a speed of 192.8 mph using the IAC AV-21 race car. Additionally, in 2024, the Maserati MC20 had already claimed the title for the fastest autonomous production vehicle by reaching 285 km/h at an Italian military airfield.

The latest record was facilitated by the 2.8-mile (approximately 4.5 km) stretch at the Space Florida Launch and Landing Facility, which was previously used as a runway. This length allowed the Maserati to accelerate sufficiently to achieve the record speed while maintaining a straight path. The vehicle's AI was primarily tasked with steering, accelerating, and braking.

Since 2021, AI systems for autonomous driving have been tested in competitive environments during the Indy Autonomous Challenge. The high-speed trials conducted by the AIDA team aimed to assess the AI's performance under extreme conditions, including its stability and reaction times at high velocities. Researchers are optimistic that insights gained from these experiments will contribute to the development of safer and more efficient autonomous vehicles for everyday traffic.