Around 12 p.m. on March 19, a car accident occurred on N. Charles Street nearby Loyola University Maryland’s bridge, leaving a sedan car flipped over. Firefighters responded to the overturned vehicle, and it was confirmed that one person was trapped inside of the vehicle.
Campus Police acted by blocking off the road with their service vehicles, and shuttles were forced to temporarily reroute. Students passing by from main campus to the west side observed multiple firetrucks and police vehicles with the flipped car at the scene.
A video from the Citizen App reveals the overturned car moments after the accident occurred. On the film it can be audibly heard that the individual trapped inside the car is alive and conscious.
Marley Lehmann ’28 was crossing the bridge shortly after the events unfolded. She received a notification from her Citizen App regarding the accident and was instantly alarmed.
“It was really scary because it could be a student, and we haven’t heard anything from campus police or the Greyhound Alert system. I hope everyone involved is okay,” Lehmann said.
Lehmann said that the comment section of the previously mentioned video is full of users claiming that the vehicle was allegedly flipped due to speeding.
“Someone in the comments spoke about how it’s becoming increasingly dangerous to drive in this city and how the Baltimore Police could be doing more to prevent accidents like this if they enforced speeding laws more. I honestly agree. I feel scared as a student crossing Charles Street sometimes because of how fast people go down the road,” Lehmann said.
MarComm Assistant Director of Communications Liam Davis said that, as of this afternoon, the road is cleared, and the person has been retrieved from the vehicle.
“Public Safety confirmed that emergency crews responded to a vehicle collision on N. Charles St just north of Cold Spring Lane shortly after 12 p.m. The scene is now clear,” Davis said.
For more information about safety alerts visit https://www.loyola.edu/department/public-safety/services/greyhound-alerts/.