Research Article

A Model for Bus Crew Scheduling Problem with Multiple Duty Types

Table 3

The optimal results of crew scheduling.

Crew numberDuty typeTripsEarliest departure timeLatest departure time

01Early1-4-9-16-24-316:309:30
02Early2-5-11-18-26-35-47-53-596:4512:02
03Early3-7-14-22-30-39-466:5810:49
04Early6-12-20-28-367:259:53
05Early8-15-23-32-40-48-547:3811:35
06Early10-17-27-37-447:4810:40
07Early13-21-29-38-458:0310:44
08Early19-25-33-42-51-60-678:3012:42
09Day34-41-52-61-68-749:4113:19
10Day43-50-56-63-7010:3412:56
11Day49-55-62-69-75-8011:0314:02
12Day57-64-71-77-83-91-97-104-11111:5116:53
13Day58-65-72-78-84-9011:5614:56
14Day66-73-79-85-92-99-10612:3816:27
15Day76-81-88-95-102-10913:3316:42
16Day82-89-96-103-11014:1316:48
17Day86-93-100-108-114-12114:3417:48
18Day87-94-101-107-11314:3917:07
19Late98-105-112-118-127-135-143-151-15715:4220:37
20Late115-123-131-139-147-155-162-16717:2021:50
21Late116-124-132-140-148-156-164-16817:2522:00
22Late117-125-133-141-14917:3019:48
23Late119-129-137-145-153-161-16617:3921:43
24Late120-128-136-144-152-160-16517:4321:35
25Late122-130-138-146-154-15917:5120:50
26Late126-134-142-150-158-16318:0921:20