Serious Bus Accident on A6 Motorway Leaves Many Injured
A severe traffic accident occurred on the A6B motorway near Chevilly-Larue in Val-de-Marne on Thursday evening, November 22, 2024. The incident involved a Blablacar bus, four cars, and a motorcycle, resulting in a total of 36 injuries, with five individuals in critical condition. The accident took place around 11:30 p.m., coinciding with deteriorating weather conditions due to storm Caetano, which brought significant snowfall to the Île-de-France region.
The Paris fire brigade reported that 84 rescuers and 24 vehicles were dispatched to the scene, where they found a bus lying on its side across the road and several damaged vehicles. Emergency services worked until approximately 2:30 a.m. to assist the victims, with one person reportedly trapped in the wreckage when help arrived. The bus was en route from Paris to Brest, carrying 37 passengers, and Blablacar has since established a dedicated line for those affected.
Weather Conditions Contribute to the Accident
The accident is believed to be linked to the adverse weather conditions that led to slippery and icy roads. Val-de-Marne was under an orange alert for snow, with several centimeters of snow falling in the area, resulting in patches of black ice. The situation on the roads was complicated, prompting warnings from authorities about travel safety. Images from the scene depicted the chaotic aftermath of the collision, highlighting the dangers posed by winter weather.
Ongoing Weather Alerts Across Regions
In addition to the incident in Val-de-Marne, other regions in France and Germany are experiencing severe winter weather. The German Weather Service (DWD) has issued warnings for heavy snowfall across Bavaria, leading to multiple accidents and traffic disruptions. Reports indicate that around ten accidents occurred in the Allgäu region due to the wintry conditions, although no injuries were reported. Authorities continue to monitor the situation as snowfall is expected to persist, affecting travel and safety across affected areas.
