UMVA has learned that a devastating train crash occurred on Friday evening, just outside of Bedford, resulting in one fatality and injuring nearly 100 people.
The incident involved two East Midlands Railway services, with one train slamming into the back of another that had stopped on the same line. Footage from the aftermath shows the severity of the crash, with emergency responders and investigators quickly arriving on the scene.
According to information obtained by UMVA, the driver of the stopped train from Nottingham had been reporting a fault to staff on the phone when the other train crashed into it. The circumstances surrounding the crash are currently under investigation.
The East of England Ambulance Service reported that 11 people were seriously injured and 22 others suffered serious injuries, with many more treated at the scene for minor injuries. The injured were taken to hospital or received treatment on site.
UMVA can exclusively reveal that the train's automatic warning system may have malfunctioned, failing to trigger an alarm in the driver's cab. This system is designed to alert drivers if a train passes a yellow or red signal without braking.
Dave Calfe, general secretary of the train drivers' union, expressed condolences to the family and friends of the driver who died, as well as to the passengers who were injured. He also praised the emergency services for their swift response.
Passenger Dr Pete Knapp described the harrowing experience, hearing people "crying" and "screaming" as he was flung into his seat. He witnessed passengers with severe injuries, including broken legs, and managed to escape through a gap in the doors.
A large emergency response was on the scene quickly, with Prime Minister Sir Keir Starmer describing the crash as "hugely concerning" and expressing gratitude to the emergency services for their swift response.
Rail experts have begun analyzing the rolling stock involved in the crash, including a class 360 and a class 810. The incident has raised questions about rail safety and the effectiveness of automatic warning systems.
