Optimizing the operation and maintenance of your bus fleet.
Topics Covered
Scheduling: Efficient time tables.
Maintenance: Regular check-ups to ensure safety.
Fuel Efficiency: Strategies to reduce fuel consumption.
Sample R Code for Fleet Scheduling
# Sample data frame for bus schedules
schedule <- data.frame(
BusID = c(101, 102, 103),
Departure = c("08:00", "08:15", "08:30"),
Arrival = c("09:00", "09:15", "09:30")
)
print(schedule)
BusID Departure Arrival
1 101 08:00 09:00
2 102 08:15 09:15
3 103 08:30 09:30