Right, those are brief disruptions that cause no significant variation in total transit times.
Much like the idea that slower drivers cause more accidents, this is based on other drivers experiencing discomfort and having to be more careful to avoid the slower car. It feels like it is more dangerous, but the data we have shows that it does not result in more accidents.
Traffic jams that cause meaningful changes to total transit time are almost always based upon significant disruption events(accidents) or uneven capacity(merging traffic at a higher rate than the freeway can absorb).
We know from psychology that a person will perceive something that requires more attention and effort as taking longer and perceive something that requires less attention and effort as taking less time, even if the times are equal.
You are continuing to make assertions without references.
My experience of traffic jams is that they are normally caused by density of traffic. There are a lot of simulations out there that show how small variance in high density traffic acts like a wave that propagates backwards. You even see it on escalators on the tube here in London, where people are supposed to walk on the left but often get stuck in a standing state at busy rush hour times.
http://www.traffic-simulation.de/ring.html is a good one - push up the density and see how the wave propagates backwards. It's not merging that causes the problem, it's density.
Of course standstill traffic that stops everything for minutes at a time is usually something else. But that isn't an everyday jam. And everyday jams do make a meaningful difference in transit time. They even affect me on my motorcycle especially as roads get narrower to accommodate bicycle lanes. I do however still get through and it's a rare day that there is any kind of event or interesting artifact at the front of the jam.
> Much like the idea that slower drivers cause more accidents
Slower vehicles are more likely to end up in an accident. Speed - accident rate curve is IIRC called Solomon curve. I haven't heard this theory disproved.
> this is based on other drivers experiencing discomfort and having to be more careful to avoid the slower car
I have heard experts saying that observations indicate that slower drivers cause accidents indirectly. They are usually slow enough to irritate other drivers, but fast enough to make it hard for an average car to overtake them safely, which pushes some faster drivers into dangerous situations, sometimes resulting in accidents from which the slower drivers escape unscratched.
> Much like the idea that slower drivers cause more accidents
I think this might be statistically valid, due to correlation with the root cause. Drivers who are inexperienced or uncomfortable due to poor eyesight, poor reflexes, unfamiliarity with the vehicle or area naturally slow down.
These are the same sorts of “driver disadvantages” that would cause more accidents.
No references, just intuition based on decades driving in Chicago traffic.
Much like the idea that slower drivers cause more accidents, this is based on other drivers experiencing discomfort and having to be more careful to avoid the slower car. It feels like it is more dangerous, but the data we have shows that it does not result in more accidents.
Traffic jams that cause meaningful changes to total transit time are almost always based upon significant disruption events(accidents) or uneven capacity(merging traffic at a higher rate than the freeway can absorb).
We know from psychology that a person will perceive something that requires more attention and effort as taking longer and perceive something that requires less attention and effort as taking less time, even if the times are equal.