question

It doesn’t matter if you see trucks as objects or taskexecuters. If you have a map of roads you are going better with taskexecuters. If your trucks are stationary while they do their travel time then you are better off with objects.
let me assume, you have a map of roads, then you can build a simplified map by network node objects and you connect them like any other 3D model material flow.
what really counts is that you just simplify your final task, to a version you can work with to learn what is going on. The typical mistake is, you are dragging all objects into a workplace and connect them. It is easy to do so, but this doesn’t bring you nearer to your final task. A model works by a logic. And it is important that you can scale your logic from a small simplified model to your final task. Begin small. Really small. Start with one truck, a single road, increase this working model by one road to test it with two roads going to different destinations.
Speed is a unit to consume time. You can get larger travel times by a speed limit on your roads or with a real or virtual larger distance.

Test this in your simplified model.
Then you add another truck.

If you build your logic in Process Flow you build it so, that a second truck uses a similar logic like a single truck, but now as instanced process flow.
now you start to scale your model by adding more roads and more trucks at once to your simplified model.

If your distribution center handles with loading and unloading of trucks, then you build a learning model just for this task. You start with only one truck here, too. And that truck gets only one product first, then he gets two products and then a lot more. You do the opposite with your unloading task. A variant would be to unload a truck only partially. And next step in progress is to do all actions with more trucks.
Now you combine road and distribution center model in a single model. But you start here with just one truck, too.

it is up to you to build a lot simplified models. Do it. Just do not think about it. You have to do it. Do IT. And if you have questions to achieve something, then ask questions by attaching your simplified models.