that purpose, we chose a specific instance and tested it while varying the s from 1 to 5. We report the results of this sensitivity
analysis in Table 3, showing for each time the mean waiting time and wasted energy in percentage. Results of our sensitivity
analysis clearly show the impact of the s length on the waiting time for transportation requests. In fact, as the value
of s increases, the mean waiting time also increases. We also want to note that the wasted energy level variance is small
while varying the s. This is mainly because of the accumulation of transportation demands during the s period. For a smaller
value of s, the accumulation of transportation requests results in a larger number of empty moves to satisfy all the demands.
However as the s length increases, there are more accumulated transportation requests, which results in the availability of
transportation requests to serve in each station over time. Consequently, as soon as a vehicle finishes serving a transportation
request, it finds a waiting transportation request in its arrival station. So, the vehicle will not need to perform any empty
moves to serve new transportation requests. Therefore, a reduced number of empty moves is observed as the value of s
increases.