Started by jamespetts, November 28, 2012, 03:15:05 AM
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Quote from: Carl on November 28, 2012, 08:38:20 AMA little data from my GB map which might be interesting/useful.This map runs at 23 bits per month (because of the low metres per tile -- 118 -- this yields a 12 hour month). The passenger_factor is set to 1. With realistic service patterns and convoy capacities, I find that this is *just about* a suitable figure -- if anything it yields slightly too large passenger volumes. I'm sure this is partly because of the high bits per month figure, but I have thought for a while that it would be nice if this value was more fine-grained (and if values below the current '1' were available).Of course, one can also mitigate passenger levels by fiddling with "alternate destinations" and passenger journey time tolerances, which is what I'll have to do on the GB map if passenger numbers start to get really out of hand.
Quote from: Carl on November 28, 2012, 12:44:05 PMNothing too precise. I take the "right level" of passengers to be that at which most services are decently loaded, but not too often overcrowded -- and given the realistic service frequencies this seems to require a passenger factor of 1.
Quote from: Carl on November 28, 2012, 01:18:59 PMFor the most part loadings are realistic. There are some obvious and explicable distortions, though. High Speed services from Kent are extremely popular and usually full -- whereas of course in real life this is mitigated by the fact that there is a supplement payable to travel on such services. On the other hand, London Underground services tend not to be as busy as one would expect -- except in the very centre of London. This is presumably because it's quite difficult to simulate the fact that Londoners are much more likely to use public transport. (There are mechanisms in Experimental which can do this to a certain extent, of course, but I have not yet pushed these to their limits.)
# The program will generate three groups of passengers: (1) local;# (2) midrange; and (3) long distance. The program will look for a town within# the specified distance ranges for each class of passenger. If it cannot# find such a town within a certain number of tries, it will pick a random town.# The ranges *may* overlap. These values are in kilometres. local_passengers_min_distance = 0local_passengers_max_distance = 16midrange_passengers_min_distance = 16midrange_passengers_max_distance = 80longdistance_passengers_min_distance = 55longdistance_passengers_max_distance = 16384# The following are percentage chances. They represent the chances that# any passengers generated will try to find a town within each of the three# ranges, respectively. ## 84% of journeys are 10 miles (16km) or under# 14% of journeys are 10 - 50 miles (16-80km)# 2% of journeys are >50 miles (80km)# See: http://www.sustrans.org.uk/assets/files/connect2/guidelines%2016.pdf# Allow for some overlap, however, between midrange and long distance.passenger_routing_local_chance = 84passenger_routing_midrange_chance = 12# (Longdistance by inference = 4)# passenger_routing_longdistance_chance is 100 minus the sum of the two above values,# but not stipulated individually. # Passengers have a maximum tolerance level for how long that they will# spend travelling. The further that the passengers want to go, the more# time that they will be prepared to spend travelling. The number is # expressed in minutes. For each packet of passengers, the number of # minutes travelling time (including waiting time) that they are prepared# to tolerate is randomised between the minimum and maximum amount using a# normal distribution, meaning that the numbers are more likely to be in# the middle of the range than at either end. The local, mid-range and# long-distance passenger groups correspond to those above. min_local_tolerance = 2max_local_tolerance = 75min_midrange_tolerance = 5max_midrange_tolerance = 240min_longdistance_tolerance = 30max_longdistance_tolerance = 4320
Quote from: greenling on December 09, 2012, 07:18:56 PMJamespettsIn old Timetable can you read out how many people in the history be used a Train or a bus.
Quote from: sdog on December 10, 2012, 12:16:40 AMWhat i don't trust are the numbers you found. Unless they are transport specific, not general travel lengths, regardless of mode.
-- shortPrelude> 1- (0.05 + 0.11)/(1-0.22)0.7948717948717949--longPrelude> 0.05/(1-0.22)6.410256410256411e-2--midPrelude> 0.11/(1-0.22)0.14102564102564102
min_local_tolerance = 2max_local_tolerance = 75min_midrange_tolerance = 5max_midrange_tolerance = 240min_longdistance_tolerance = 30max_longdistance_tolerance = 4320