Whether your state has banned texting while driving or not, its not safe! I can always tell the ones that are doing “something” in their car. As you drive past them more often then not they’re on the phone texting. Swerving into other lanes, speeding up then going really slow. Do they realize how they are driving?
So many times I want to take out my phone and take a picture of them but then I’d be just as bad as them. So frustrating. How do you get them to stop… or let them know that they are a very big danger to the road without putting yourself and others at danger?
Spread the word!
April is Distracted Driving Awareness Month and today AT&T released new research as part of the AT&T It Can Wait campaign. Through anonymous algorithms and analysis, AT&T’s data scientists were able to estimate the rates of texting while driving across the U.S. and found that States that have statewide anti-texting laws have lower rates of texting while driving – at a statistically significant level. According to the data, the four states without a statewide ban (AZ, MO, MT, TX) have a roughly 17 percent higher rate of texting while driving than the 46 states with statewide bans.
So what does this mean? This shows us what people actually do, versus what they say they do. Remember, while over 90% say they know texting while driving & distracted driving is dangerous, 71% continue to engage with their smartphone behind the wheel (AT&T Survey, 2015).
A report about the study is available here: http://about.att.com/innovationblog/041116antitextinglaw
Now in its sixth year, the AT&T It Can Wait campaign has partnered up with our data scientists to examine anonymous data on AT&T’s network. This is a significant next step in raising awareness for the issue in a way that has never been done before. Here is a closer technical look at what the data scientists analyzed:
- First and foremost —Privacy. AT&T didn’t create any new data, nor did they share any data outside of AT&T. They looked at routine network information, on a strictly anonymous basis.
- Specifically, looked at outgoing text messages, and used a cell-tower algorithm to figure out which ones were sent from moving vehicles.
- AT&T determined if a vehicle was moving by dividing all sent text messages into two groups – stationary and moving.
- Stationary meant a device stayed connected to the same tower (or oscillated between two adjacent towers) in the time period surrounding the sent text.
- Moving meant a device was connecting to different towers on consecutive data sessions, indicating movement between cell site coverage areas (NOT by location services). Technical corrections also were made for other factors, such as the common habit of sending a text just before driving or just after stopping.
- Studied commutes within US Census metropolitan areas. Identified “commutes” as trips taken between an anonymous phone’s two most frequented tower locations.
- Our final results are based on Android devices across the nation. Because we looked only at SMS texts, we wanted to eliminate regional biases if a particular market favored devices with their own proprietary messaging apps. As it happened, the results with and without other devices were highly similar.