Yeah, I know it's not *that* simple, but I guess what I was getting at, is that even with an incredibly simple model (increase speed, reduce journey time), this is affected by the increased severity of accidents - which represent a critical failure of the road network.
But the algorithm is correct in its own terms (mean journey length, speed limit) means that there is a minimum mean time a journey can take.
But of course traffic behaves like the weirdest fluid ever. It doesn't just expand and contract at high and low speeds, it also gets angry (and I don't know how to model that.)
This is really easy to work out.
If we select describe the mean journey length, l, and we have a maximum speed s, then the journey time t = l/s.
If we decrease the maximum speed, then we can see that this increases the mean journey time.
People will start there journeys at different times. This means that there will be a rate of journeys being started, and they will exist for a time (mean journey time).
A journey, means a car on the road.
If you increase the amount of time a journey takes, you must increase the amount of cars on the road.
Therefore, congestion.
However, it has been observed that drivers tend to crash with more severity when travelling at higher speeds, but this has to be balanced against the tendency to have more accidents when the traffic is at higher density.
I live in Leeds, so the study in question is particularly pertinent to me.
Maybe, just maybe, we don't really need security. This continual search for stronger and more complicated forms of security seems to add more and more weak points into secure systems.
An alternative model is needed that doesn't rely on security.
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Yeah, I know it's not *that* simple, but I guess what I was getting at, is that even with an incredibly simple model (increase speed, reduce journey time), this is affected by the increased severity of accidents - which represent a critical failure of the road network. But the algorithm is correct in its own terms (mean journey length, speed limit) means that there is a minimum mean time a journey can take. But of course traffic behaves like the weirdest fluid ever. It doesn't just expand and contract at high and low speeds, it also gets angry (and I don't know how to model that.)
This is really easy to work out. If we select describe the mean journey length, l, and we have a maximum speed s, then the journey time t = l/s. If we decrease the maximum speed, then we can see that this increases the mean journey time. People will start there journeys at different times. This means that there will be a rate of journeys being started, and they will exist for a time (mean journey time). A journey, means a car on the road. If you increase the amount of time a journey takes, you must increase the amount of cars on the road. Therefore, congestion. However, it has been observed that drivers tend to crash with more severity when travelling at higher speeds, but this has to be balanced against the tendency to have more accidents when the traffic is at higher density. I live in Leeds, so the study in question is particularly pertinent to me.
Maybe, just maybe, we don't really need security. This continual search for stronger and more complicated forms of security seems to add more and more weak points into secure systems. An alternative model is needed that doesn't rely on security.
Geeks are incredibly weak, so the chances of one causing actual damage to anything vanish to zero.