Marcus Wolschon wrote: > Chris Fleming schrieb: > | It would be good to compare results of the "algorithmic" approach with > | real average speeds. If this could be done consistently then this would > | be a big leap forward. > > Well... > > I can implement this in a few days as a new > metrics-plugin for Traveling Salesman. There > It is a matter of 2 clicks in the preferences- > dialog to compare it to a conventional metric. > What I need are the right constants. > > We need for each vehicle-type: > * MAXSPEED[highway] and > * MINSPEED[highway] how slow the driver will get without reacting > * DOWNHILL_MAXSPEED when to accelerate no further > * CAR_WEIGT for curves > * MAX_CENTRIFORCE what the car can take > what the car can take _safely_ > * usual ACCEL-eration for accelerating and as factor for hills > * EFFICIENT_DRIVER == true if and only if the driver selected > ~ "most efficient route" instead of "fastest" or "shortest". > ~ Else we can assume he wants to arrive as early as possible then also * min_turning_radius * tire_wear, tarmac_temperature, humidity... (affects the grip) ...etc...
How about automatically _learning_ all the needed parameters from the GPS readings? Sure first few days the routes would be calculated with some default options, but would dramatically improve (personalize) over time. This would also take into account seasonal changes in weather (eg slower trough curves and avoiding high altitude in winter). Dynamic learning would also suggest you to take byroads if they are faster than your current average speed on highway (traffic jams, broken down vehicle), suggesting you first suitable exit. Then the software just needs the ability to switch between vehicles and drivers if gps device is being moved between them regularly (or their characteristics change dramatically - empty/full truck, stig/regular/woman/drunk driver). If you just change your primary vehicle (eg buying a new one) software would learn its capabilities and your driving habits within a week. The only manually entered parameter would be out-of-ordinary physical dimensions (eg width, height, has_trailer, max_mass for lorries) to take those limits into account when finding suitable roads. I guess it would need to erase learned pattern if airbags were deployed though :) just some ideas to chew. Stefan _______________________________________________ Routing mailing list Routing@openstreetmap.org http://lists.openstreetmap.org/cgi-bin/mailman/listinfo/routing
