CAR1

Tests are made in all the above videos car1 to car4.

From Table 1, we can find out that the average performance of DBA is better than the other two variants of DBA; for benchmarks Car1 to Car8, the DBA-IVPNS is better; the reason may be that the IVPNS implementation is singlepoint operation on the current global best individual gbest_x; this operation may improve the quality of solution, bur this needs much computing time, so the DBA-IVPNS have more time to explore of more new position.

From Figure 8, we can see that the gradient in s x t space is which means that the terminal velocity of the urgent individual is zero, and this satisfies the requirement of the problem definition in Section 3.1; for example, in Figure 8(b), urgent individual 2 takes the maximal acceleration until reaching A point before Car1 arrives at his path and then switches to deacceleration for the path A-B in case of colliding with Car2.

For the identification we used three vehicle classes, which are named car1, car2 and large track.

Quadro 3: Modelo inicial da AFC V14 v31 v13 v30 v24 v32 v19 = CAR1 V17 v10 v1 v23 v20 = ATT2 V28 v26 v29 v2 v15 = EEN3 V16 v12 v8 v7 = GQP4 V25 v6 v27 v18 v5 v4 v9 = CCRP5 V22 v11 v21 v3 = AF6 Fonte: elaborado pelo autor.

A chapter is devoted to a discussion of clinical amplitude/velocity reference imaging (CAR1), one of the first available in textbook format, as the procedure is still in the experimental phase.

Day 1 (the first day for which returns are available) has an average AR of -0.18% (test -statistic 0.47), and the CAR1,t at day t = 10 is -0.03%, at day 50 is -1.62%, and at day 100 is -2.75%.