requirement

• clingo-dl
• python

content

gen_init.py : generate random initial location of agent
gen_rq.py : generate trip request (random origin and destination)
init.lp : initial location instance
network.lp : network instance (vertiport, arc)
rq.lp : request instance
solver_all.sh : reproduce all experiments
8.0.1-planning.lp : single-step planning program (pi)
8.0.1-planning.py : iterative caller(Algorithm 1)
timeSchedule.lp : time schedule program (pi_dl)

hyper-parameter

8.0.1-planning.py
nb_drone : number of drone
nb_request: number of request
run_for_request: how many times you want to sampling the request
run_for_drone: how many times you want to sampling the initial location of agent

usage

TO reproduce all experiments:

./solver.sh  

TO run solely experiment

python 8.0.1-planning.py nb_drone=X nb_request=Y run_for_request=Z run_for_drone=W

replace X, Y, Z, W by your choice.