The MAIOR Transit Scheduling Suite analyzes CAD/AVL data to calculate optimal run times throughout the day so that you can provide a reliable service to your passengers and improve your on-time performance
Key Features and Benefits
Planned Service Evaluation
Monitor the reliability and punctuality of your service comparing planned and performed run times data
Run Time Optimization
Calculate optimized run times by lines, by day type, and by time band, using historic data from CAD/AVL systems
What-if Scenarios
Check the impact of newly calculated run times on your timetable, vehicle and driver duties in one click to evaluate costs and benefits
Related Products
Timetable Design
Plan your trips for multiple routes and patterns using accurate run times and optimize timetables according to your desired headways, vehicles availability or passenger demand
Resource Optimization
Save time and money by creating your vehicle and driver schedules using state-of-the-art optimization algorithms while improving the quality and the efficiency of your service
Crew Assignment
Manage your drivers' work assignments, bidding, and vacations, ensuring adherence to labor and agency rules while keeping operating costs under control
Discover more about the MAIOR Transit Scheduling Suite
Run Time Analysis
The Run Time Analysis module uses innovative statistical analysis of operators driving times imported from other systems (like automatic vehicle location systems), to determine optimized running times and time bands throughout the day.
With these optimized running times, transit agencies and operators can improve service planning and improve on-time performance.
Run Time Optimization Algorithm
The Run Time Analysis software solution is enhanced by the MAIOR Transit Scheduling Suite’s embedded optimization algorithm that optimizes the difference between the scheduled and actual running times. This is achieved by creating the best running time average but also by setting the width of the time bands to group the running times.
The Run Time Analysis algorithm does not simply calculate the running times as a simple average of the actual. It is possible to set a wide range of parameters to calibrate the algorithm’s behavior. Some examples include:
-The maximum number of time bands that are to be created
-The time scale of the bands and the time scale precision of running times
-Minimum and maximum values
-Weight of delays
Each time band has its own optimization criteria, and a time band can be excluded from the optimization process.