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8d1d9eec9b
Changes to how the AI works the train brake on the way to a lower speed or a stop, so that it uses few, early applications instead of a late deep one: - Approaching a lower speed, the deceleration may fall short of the demand by only half of a step (fBrake_a1) before the brake is applied harder. With a full step the demand crept up meanwhile and a long G train got its next step many seconds too late. - The shortfall is checked every 3 s. If it keeps growing at a handle left alone for longer than the brake takes to respond, the AI adds a small step at once instead of waiting until the margin calls for a deep one. A shortfall that shrinks on its own (brake still filling, blocks gripping harder at lower speed) does not trigger it. - Releasing, a position short of the first one counts as giving the minimum stage of the distributor, not less. - Holding the speed on a descent, the predicted excess speed is taken off over the time the brake takes to respond, not at once, so a slow brake does not get a deep application that then takes as long to release.