Party Bus Crash: 36-Year-Old Woman Dies; Husband May Face Manslaughter Charges [VIDEO]

A party bus crash caused the death of a 36-year-old woman and injuries of 10 people. The husband of the now-deceased woman may face felony charges for manslaughter.

The party bus crash happened on Sunday, when a vehicle lost control and was stopped facing the opposite direction on the opposite lane during the early morning.

A bus filled with people going to a party was travelling on the opposite lane and crashed against the sitting vehicle on U.S. Highway 101 in Burlingame.

The woman who was a passenger in the sitting car died, and her husband may face charges for driving under the influence of alcohol and causing the tragic death of his wife.

The 36-year-old woman was pronounced dead on the scene. The husband, Raul Padilla, 43, was also hospitalized and is now in a critical condition.

While the husband wore his seatbelt during the crash, the wife did not, according to Art Montiel, California Highway Patrol Officer.

The number of passengers on the party bus who wore seatbelts is unknown, though the bus did provide seatbelts for passengers. Montiel also said that California does not have a seatbelt requirement for bus passengers.

The Padilla couple reportedly drank alcohol before driving the vehicle, but the body alcohol content is still to be determined.

If Padilla was indeed driving under the influence of alcohol, "he could face felony DUI charges and manslaughter charges," said Montiel.

Most of the passengers on the party bus were hospitalized and had injuries that ranged from minor to moderate.

The crash occurred at the early morning hours of 2 a.m., and the drunk couple were driving a Honda coupe.

For about two hours, traffic towards the southbound direction of U.S. Highway 101 were diverted to local streets, as the freeway was closed after the crash.

Another deadly party bus crash occurred earlier this month in Kansas city. See below for a video news report.

Tags
world news
Join the Discussion

Latest Photo Gallery

Real Time Analytics