Control Strategy of Frequent Overflow at Intersection Based on Remote Sensing of Unmanned Aerial Vehicle and Vehicle Trajectory Data

Algorithm 2

Control Strategy of Frequent Overflow at Intersection.

Step 1 calculate the overflow identification indicator, and determine whether it reaches the overflow condition, if not, continue to calculate; otherwise, enter step 2.

Step 2 set objective functionand constraint (traffic demand of non-overflow phase).

Step 3 design the control strategy set matched with non-overflow phase traffic demand .

Remark 7: The global impact of the controlled intersection and the traffic demand of the non-overflow phase should be considered when frequent overflow occurs. Generally speaking, the control strategies which can be designed as demanded are as follows: Delay phase, change phase, jump phase, and insertion phase.

Step 4 determine whether the switching conditions are met and operate accordingly. The specific strategies are as follows.

Where is the lag factor.

Step 5 genetic algorithm is used for the optimization

a) The objective function is:

b) The constraint condition is:

c) Let the fitness function be

d) The design includes population size, crossover probability, and mutation probability