Google Maps falsely labels German autobahns as closed
Google Maps falsely labels German autobahns as closed
Occurred: May 2025
Page published: May 2025
A technical error in Google Maps led to the incorrect labeling of autobahns and highways across Germant as closed, causing significant disruptions during a busy holiday period.
Google Maps displayed false road closures across major German autobahns and highways, with the issue also affecting parts of Belgium and the Netherlands.
The glitch lasted for several hours and coincided with the start of a major holiday weekend, when traffic volumes were already high.
Drivers using Google Maps saw red stop icons and “closed” labels on major routes, prompting them to seek alternative paths.
This led to severe congestion on secondary roads, with some routes experiencing traffic volumes up to 150 percent of normal, according to live data from other mapping platforms.
Delays of up to 45 minutes were reported, and many drivers mistrusted local road signage, relying solely on the app’s guidance.
Some individuals even contacted authorities, concerned that the widespread closures might indicate a security incident or cyberattack.
The exact cause of the error remains unclear. Google Maps relies on a combination of user reports, public sources, and third-party data feeds for real-time traffic information.
Potential causes include a data pipeline misconfiguration, an overactive AI feature that incorrectly predicted closures, or a flood of anomalous user reports that triggered automated warnings.
Google has not provided a definitive explanation but says it is internally reviewing the incident and implementing safeguards such as stricter data validation and cross-checks with official transport sources.
The fracas highlights the vulnerability of AI-driven mapping services to technical errors and the importance of cross-referencing information from multiple sources before making travel decisions.
Google Maps
Developer: Google
Country: Belgium; Germany; Netherlands
Sector: Transport/logistics
Purpose: Direct drivers
Technology: Machine learning
Issue: Accuracy/reliability