Gap acceptance functions are useful descriptions of the turning behaviour of vehicle drives at intersections. For simple manoeuvres, where a driver crosses or merges with a single stream of traffic, such functions can be obtained from empirical data using easily-computed statistical methods. For more complex turning movements, where a driver must first cross one stream of traffic and then merge with another stream, appeals are made to correspondingly more complex models of double-gap acceptance. Fitting these models to empirical data may involve lengthy computation. We present a new simplified method for estimating a double-gap acceptance function for a complex manoeuvre. In examples with empirical data and with simulated data generated from a known distribution, we use sensitivity analysis to show that our new method is as good as more complex statistical techniques for the sparse data likely to be available. One application of this technique is discussed briefly. © 1980, All rights reserved.
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