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Other approaches discussed in the research literature rely on dynamic traf c information in order to implement a dynamic congestion-based charging scheme The charge to use a particular route varies over time according to the levels of measured congestion This scheme has been regarded as more ef cient than time or area-based charging To put this dynamic charging scheme into practice, an ef cient distributed traf c monitoring system needs to be in place IVC networks could assist vehicles in cooperatively detecting congested areas Such a charging scheme could offer choices of routes to vehicles entering a congested region The driver could opt, for instance, between inexpensive but longer alternative routes or pay more to use the current congested route..

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The model suggested, at the start of this chapter, identi ed psychology and law as (a) a subdiscipline, (b) a collaboration and/or (c) a project. Currently, there is more interest in developing psychology and law, or behavioural sciences and law, as a subdiscipline than as a collaboration or a project. In large measure this is an unconscious choice by the psychologists involved. They have considered neither the implications nor the choices. They want to do , to be authorities in , psychology as it applies in certain particular legal contexts, for example mental health or prisons. There is nothing shameful about this. It is perfectly understandable that individual psychologists, and other behavioural scientists, whether practitioners or researchers, wish to specialise. It is inevitable. It is the route to publication, preference and promotion. Specialist knowledge is valued over generalist. But we should not pretend that it is collaborative, interdisciplinary or international in any meaningful sense. And we should admit and recognise that the potential of psychology and law is not being sought, let alone realised.

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Exhibits A2 and A4 are plots of relative frequency, while Exhibit A3 shows absolute frequency The sum of the relative frequencies (read off the y-axis) equals one A probability density plot is a rescaled plot of the relative frequency Speci cally, a probability density graph has been rescaled so that the total area sums to one An event that is four times more likely than another event will have four times the area associated with it as opposed to four times the height This might seem like an arbitrary de nition, but it is essential for working with continuous distributions By transforming the probability into an area, we can apply the mathematics of integrals (sums) in order to work with continuous random variables Cumulative Distribution Function Suppose we are making some kind of measurements, let s say the heights of a large group of randomly selected people.

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Once we ve made many measurements, we can plot a probability distribution, as described previously Let s say you want to build a relatively short door in a small house What you d like to know is how many people in general will t through the door Another way to ask this question is: What is the probability that the next random person will hit their head, walking normally The cumulative distribution function is what gives you the answer to that question directly You just have to take the probability distribution you have, and for every point, you plot the fraction of total measurements that fall below the current point (eg, height) Formally speaking, for any random variable X, the probability that X is less than or equal to a is denoted by F(a) F(x) is then called the cumulative distribution function (CDF).

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