Applying Computational Physics to Car/Bicycle Accidents

AI Thread Summary
The discussion highlights an analysis of a dangerous angled street intersection in England known for fatal bicycle-car collisions, utilizing basic physics and programming. A survival tactic for cyclists involves observing the angle of approaching vehicles, similar to techniques used in water navigation to assess collision risks. Cyclists can train themselves to recognize when the angle remains constant, indicating a potential collision course. This method is particularly effective unless the intersection is obscured or "blind." Educating cyclists on this tactic could enhance safety at such intersections.
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One tactic that is useful to the cyclist comes from water navigation. Boaters know that if the other vessel is on a constant bearing, you are on a collision course. When you watch the simulation, note that the angle between the cyclist's road and the pillar shadow is approximately constant.

As a cyclist, I use this when approaching an intersection. Not only do I note whether I'm in the driver's blind spot from the A pillar, but I note the angle at which I'm viewing the intersecting vehicle. You can easily train yourself to notice when the angle doesn't change; to me, this makes alarm bells go off in my mind. It's a great survival tactic.
 
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canalligators said:
As a cyclist, I use this when approaching an intersection. Not only do I note whether I'm in the driver's blind spot from the A pillar, but I note the angle at which I'm viewing the intersecting vehicle. You can easily train yourself to notice when the angle doesn't change; to me, this makes alarm bells go off in my mind. It's a great survival tactic.

That should work quite well as long as the corner is not "blind". It takes a bit of practice to become proficient at it. All that's needed is a way to educate the cycling public.
 
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