3 ms·

Cross-referenced with time of day and weather conditions (rainy and foggy in an area where it's typically neither) I would think Google (Waze's parent company)

by mikece 7y ago

Cross-referenced with time of day and weather conditions (rainy and foggy in an area where it's typically neither) I would think Google (Waze's parent company) could estimate that the chances for accident-based delays are elevated and recommend a sooner start to a commute. Maybe cross with Facebook's social data (users who were at a bar last night and for how long) combined with known start/end points for commutes and historical times that people make those commutes, the ability to guestimate the chances for an accident could be increased even more. Yes, it's very big-brother but if it saves me 20 minutes to 2 hours waiting in traffic...

TeMPOraL 7y ago
Your insurer would definitely be very interested in such data aggregation.
netsharc 7y ago
You could just use location data (either from Google, or from signal triangulation) to see if their owners were out or at home last night. Add data from the accelerometer and you'd see how drunk they were. Yeah, I'm glad there are laws against that kind of data collection. Or are the laws just there to keep me fooled? Interestingly, Facebook probably can already tell who's in a relationship with whom and how far they are in it: how often do they talk to each other on the messaging apps, how often they check each other's profiles (FB, IG), were both their phones connected to the same WiFi network last night after their third date?
sitkack 7y ago
I'd love to know how many folks are under active guidance when they are party in a crash. All of the mapping services make ridiculous unsafe decisions. They are not liability free.
adrianmonk 7y ago
Even if they had that data, how do they apply it usefully? Let's assume that, even when the odds of a crash are elevated, they're still relatively low. Perhaps the chances of a wreck along your route jump from 1% to 10%. If a wreck happens, there's also a lot of variability to how much delay it could add. If it is minor, it could be cleared or moved to the shoulder in 20 minutes. If there is a fatality or a big truck flips over, it could close the whole road for hours. You also don't know how critical it is to the user to arrive on time. Maybe tomorrow the first thing on the agenda is to do an important presentation to management, but the next day the first thing on the agenda is to do some code reviews and catch up on email. So do you need 99% confidence that you'll arrive on time or would 80% confidence be good enough? The answer to that question will have a big effect on how early you have to tell them to leave. (I guess you could just explicitly ask the user, though, which might be nice.)

by mikece 7y ago

TeMPOraL 7y ago

Your insurer would definitely be very interested in such data aggregation.

netsharc 7y ago

You could just use location data (either from Google, or from signal triangulation) to see if their owners were out or at home last night. Add data from the accelerometer and you'd see how drunk they were. Yeah, I'm glad there are laws against that kind of data collection. Or are the laws just there to keep me fooled? Interestingly, Facebook probably can already tell who's in a relationship with whom and how far they are in it: how often do they talk to each other on the messaging apps, how often they check each other's profiles (FB, IG), were both their phones connected to the same WiFi network last night after their third date?

sitkack 7y ago

I'd love to know how many folks are under active guidance when they are party in a crash. All of the mapping services make ridiculous unsafe decisions. They are not liability free.

adrianmonk 7y ago

Even if they had that data, how do they apply it usefully? Let's assume that, even when the odds of a crash are elevated, they're still relatively low. Perhaps the chances of a wreck along your route jump from 1% to 10%. If a wreck happens, there's also a lot of variability to how much delay it could add. If it is minor, it could be cleared or moved to the shoulder in 20 minutes. If there is a fatality or a big truck flips over, it could close the whole road for hours. You also don't know how critical it is to the user to arrive on time. Maybe tomorrow the first thing on the agenda is to do an important presentation to management, but the next day the first thing on the agenda is to do some code reviews and catch up on email. So do you need 99% confidence that you'll arrive on time or would 80% confidence be good enough? The answer to that question will have a big effect on how early you have to tell them to leave. (I guess you could just explicitly ask the user, though, which might be nice.)