Indoor Pitane Mobility version 10, much attention was paid to the new automatic vehicle planning. After all, car planning is a complex matter for many companies and must take into account many factors such as the car's range, driver's break and duty times and the use of the right equipment to meet the expectations of the traveler.

In the past period, automatic vehicle planning has been further developed and tested on the shop floor by the traffic management of Trevvel. This Rotterdam-based company processes more than 6000 journeys per day and uses Pitane Mobility version 10.

Dynamic planning with control of current traffic information

Because this often involves last-minute changes, it was decided to wait until the last minute to select the right car for the orders. All factors that play a role in determining the correct car for a route or trip assignment for travelers such as low entry, wheelchair transport, boarding via the elevator, use of aids, etc. are checked during the dynamic planning.

Different methods to use as a planning system

In the case of group transport, automatic car planning, and certainly with school transport, in most cases there is no question of using automatic planning systems for the car, because the car and driver are usually already fixed for a longer period.

For target group transport where it is usually possible to order up to 1 hour prior to transport, the software provides a number of possible planning methods, the most striking of which may be start-up planning. This start-up schedule is relatively easy to determine based on the location of the car in the morning, such as the home address of the driver, the base point or the parking of the car.

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Still getting used to the planner…

Automatic vehicle planning becomes more complex as we receive thousands of ride orders throughout the day that are combined into optimal routes and automatically assigned to the right vehicles. Pitane Mobility offers dynamic vehicle planning with control of current traffic information.

For the planner, automatic vehicle planning takes some getting used to and especially figuring out why the machine chose a different car than what he had in mind for the same trip assignment. On closer inspection, current traffic information often appears to have been the reason for the choice made. Other elements of choice include monitoring the break and scheduling times and the range of the vehicle.

Also read: Noose for LeasePlan of at least € 92 million due to a failed SAP implementation

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