> Destination Dispatch [...] are in general worse
I wonder if this is an artifact of how the author used random destinations. I worked in a building that used Destination Dispatch, and the common travel pattern seemed to be:
- Everyone who is not on the ground floor generally want to go to the ground floor.
- People who are on the ground floor generally travel in large groups to the same destination.
This happens because people who worked on the same floor often leave for lunch at the same time, and return at the same time to the same floor. Destination Dispatch helps in this case because it's batching large groups of people with the same destination.
This is case where you need to make sure your test data reflects real-world usage or you end up optimizing for the wrong thing.
Ideally a new elevator installation would have a trial period where they record usage and then run it through a simulator like this to determine the optimal strategy for that particular building. And you'd want to re-run it every once in a while as the building tenants/usage changes. I wonder if this actually happens, though.
> Ideally a new elevator installation would have a trial period where they record usage
There's a tricky problem here: as a user, the first thing you do upon discovering a new elevator, especially if you expect to be using it regularly, is to observe how it behaves and adjust your own expectations/behavior to it.
Things are constantly changing. For example, a new building might have two or three tenants, so entire floors can be skipped. But then five years later, the whole building is full. I would bet that every new algorithm after LOOK is just differentiation in a competitive market.
omoikane · · focus · HN ↗
I wonder if this is an artifact of how the author used random destinations. I worked in a building that used Destination Dispatch, and the common travel pattern seemed to be:
- Everyone who is not on the ground floor generally want to go to the ground floor.
- People who are on the ground floor generally travel in large groups to the same destination.
This happens because people who worked on the same floor often leave for lunch at the same time, and return at the same time to the same floor. Destination Dispatch helps in this case because it's batching large groups of people with the same destination.
pimlottc · · focus · HN ↗
Ideally a new elevator installation would have a trial period where they record usage and then run it through a simulator like this to determine the optimal strategy for that particular building. And you'd want to re-run it every once in a while as the building tenants/usage changes. I wonder if this actually happens, though.
TeMPOraL · · focus · HN ↗
There's a tricky problem here: as a user, the first thing you do upon discovering a new elevator, especially if you expect to be using it regularly, is to observe how it behaves and adjust your own expectations/behavior to it.
gpvos · · focus · HN ↗
razakel · · focus · HN ↗
mvkel · · focus · HN ↗