Research Article
Scheduling-Based Optimization for Motion Coordination of Autonomous Vehicles at Multilane Intersections
| Procedure: PSO | | Input: | | Output: | | Required: objective function | (1) | Draw randomly elements from the set . | (2) | Initialize the particles’ positions, , and fitness values, , for all . | (3) | Find based on the initial fitness values of the population. | (4) | | (5) | While do | (6) | for do | (7) | ▷ Update the velocity of the particle. | (8) | ▷ Update the inertia weight term of the particle. | (9) | ▷ Update the position of the particle. | (10) | Calculate the fitness value, , of the particle. | (11) if then | (12) | | (13) | end if | (14) | if then | (15) | | (16) | end if | (17) | end for | (18) | | (19) | end while |
|