Robotaxi Gridlock: Apollo Go 'System Failure' Sparks Safety Concerns in Wuhan

Robotaxi Gridlock: Apollo Go ‘System Failure’ Sparks Safety Concerns in Wuhan

A major “system failure” involving Baidu’s Apollo Go robotaxi fleet caused widespread traffic chaos in Wuhan, China, on 1 April 2026. The incident saw over 100 autonomous vehicles come to a simultaneous standstill in the middle of busy roads and elevated highways, reigniting urgent debate over the safety and reliability of driverless transport services.

Local police in Wuhan confirmed the gridlock was the result of a significant technical glitch within the Apollo Go network. Footage circulating on social media showed a string of stationary white vehicles blocking traffic at major intersections and on the Third Ring Road, forcing human drivers to navigate around the digital “deadlock” while hazard lights blinked across the fleet.

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Passengers Stranded for Hours

The malfunction led to harrowing experiences for passengers trapped inside the driverless cars. Local media reported that some riders were stuck for nearly two hours as the vehicles froze in live traffic lanes. One passenger, stranded on an overpass surrounded by heavy trucks, described the terrifying ordeal of being unable to move while the order was eventually cancelled by the system, leaving them in a live lane of traffic.

Other passengers reported that in-car SOS buttons were unresponsive, and many had to be eventually rescued by passing traffic police. While Wuhan authorities confirmed there were no injuries, the event has highlighted the “single point of failure” risks associated with centrally managed autonomous fleets.

A Global Pattern of ‘Correlated Failure’

Wuhan is currently the world’s largest deployment site for Apollo Go, with over 1,000 fully driverless vehicles in operation. This mass “paralysis” mirrors previous global incidents where power outages or software bugs caused autonomous fleets to stall and block city streets.

Experts suggest these events represent a new category of risk known as correlated failure. Unlike human-driven cars, where one driver’s error only affects one vehicle, a software bug in a cloud-based fleet can cause every vehicle to fail in exactly the same way at the exact same time.

@reuters

A “system failure” caused a robotaxi outage involving multiple vehicles operated by Baidu’s Apollo Go in central China’s Wuhan, local police said on April 1, re-igniting safety concerns over the fast-growing service. #robotaxi #cars #China #Wuhan #tech

♬ original sound – Reuters – Reuters

Safety Under the Spotlight

Baidu has not yet released a detailed technical report on the root cause of the “system malfunction.” This is not the first safety hurdle for the firm, as previous operations have faced scrutiny following collisions and technical glitches during the rapid rollout of the service.

As Apollo Go eyes further expansion into Europe and the Middle East, the Wuhan outage serves as a stark reminder that as these systems scale, the infrastructure governing their recovery must keep pace with the technology itself. For many in Wuhan, the convenience of a cheap robotaxi ride was overshadowed this week by the reality of being “trapped” by a system that simply stopped working.


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Sources: Information Age: System malfunction leaves robotaxis stranded in traffic WHTC: Baidu robotaxi outage in Wuhan caused by system failure The Next Web: Over 100 Baidu robotaxis froze mid-traffic in Wuhan The Guardian: System malfunction causes robotaxis to stall in China City News Service: Baidu’s Apollo Go Robotaxis Paralyzed in Wuhan