Menu

Topics

Connect

Comments

Want to discuss? Please read our Commenting Policy first.

Sask. RCMP aim to get more impaired driver reports with simulated 911 calls

WATCH ABOVE: It's a situation you hope to never be in: spotting an erratic driver causing danger on the road. The Saskatchewan RCMP and SGI are hoping to help those caught in that situation, by posting simulated scenarios online. Sarah Komadina has more – Mar 3, 2017

The Saskatchewan RCMP have created simulated 911 calls to show the public what to do if they suspect they are observing a drunk driver.

Story continues below advertisement

“There’s normal things you are looking for (like) weaving from one side of the road to the other,” Sgt. Al Hofland, from the Saskatchewan RCMP, said. “Typically it’s driving behavior, it’s any erratic driving that draws your attention.”

The simulation starts with a motorist calling about a speeding red car. The police ask a series of questions to gather as much information about the vehicle and occupant as possible.

The daily email you need for 's top news stories.

https://www.facebook.com/SaskatchewanRCMP/?hc_ref=PAGES_TIMELINE&fref=nf

“(We need the) colour, make, model, year if you can and license plate numbers. We also need the number of occupants, and any description of the driver would help,” Angela Prettyshield, a supervisor with the RCMP’s F Division.

Drivers reported 4,000 incidents of dangerous or erratic driving last year. These 911 calls were part of “RID” or “Report Impaired Drivers,” a program designed to make Saskatchewan roads safer.

The most recent stats from SGI report that in 2015, there were 1,200 impaired driving accidents causing 54 deaths.

Story continues below advertisement

“We have to stress the importance of these calls for us,” Hofland said.

“We have seen the tragedy when we have those impaired drivers out there, we have to do something about it and we can’t do something without the public’s assistance.”

The RCMP will release three more scenarios over the coming year.

Advertisement

You are viewing an Accelerated Mobile Webpage.

View Original Article