The Automated Optimized Scheduling Algorithm creates an optimized schedule, maximizing the capacity of your vehicles, minimizing dead-head distance and overall distance traveled while maximizing revenue miles.
The goal of every NEMT operator should be to maximize revenue miles (have as many riders on the vehicle at the same time as possible), while driving the fewest miles and minimizing dead head miles (having the vehicle drive around with no riders).
This daily scheduling can be the most challenging and time consuming aspect of any NEMT/Paratransit provider’s business. Producing an efficient schedule that reduces the miles traveled translates directly to bottom line profitability. The scheduling features of Schedule Viewer are sophisticated and comprehensive, yet easy-to-use. Schedule Viewer has created a practical solution to what was believed to be an unsolvable problem – read more about the Dial-a-Ride Problem (DARP): Variants, modeling issues and algorithms by clicking the following link: The Dial-a-Ride Problem (DARP)
Automated Optimized Scheduling
The Automated Optimized Scheduling Algorithm creates an optimized schedule, minimizing dead-head distance and overall distance traveled while maximizing revenue miles.
Template schedules provide a “snap shot” of a schedule that can be applied to future days. This feature allows for the arrangement of trips on a vehicle to be duplicated day after day. Examples of this would be reoccurring trips like adult day care, school kids and dialysis patients.
Schedule Viewer allows for “shopping” or “point-and-click” manual scheduling for cases in which a specific schedule is required. This method of scheduling still takes advantage of our advance scheduling algorithm, providing real-time feedback if the schedule insertion is going to cause other passengers to be late. It will also alert you if the insertion will exceed the capacity of the vehicle. Innovative map visualization provides an easy way to review and visually confirm any schedule.
In a same-day scheduling, such as add ons and will calls, the scheduling algorithm takes into account the current location and on-time performance of available vehicles before providing possible solutions for unscheduled trip requests.