[python] airbike - programm results
- From: nasenzwerg <nasenzwerg@xxxxxx>
- To: python@xxxxxxxxxxxxx
- Date: Sun, 06 Mar 2005 17:45:08 +0100
Hi Jürgen,
I am not sure now how to interpret the results of the program run with
Airbike data, and to which extend I can trust the results. You should
know that with some practice one can drive the Airbike at something
above walking speed. And on the other end to my experience at speeds
well above 70 km/h.
Living at near the Black Forest speeding savely downhill (and climbing
up steep hills) would be an important ability of the Python for me. So
far no design performed too well on this, right?
By the way: I am now working part-time as a bike-messenger with my
Airbike in Basel. Among guys riding light and expensive racing-machines.
And I don’t feel I perform not too bad in comparison.
One motivation was to work against the widespread prejudices concerning
recumbents in big cities. Of course it has some disadvantages with the
Airbike, mainly having to do with the huge turning-circle and the
inability to jump up on the sidewalk. But it is by far outweigh by the
numerous advantages.
peter
Jürgen Mages schrieb:
Hello Ray,
I used the airbike data as input for your program.
The result corresponds to my experience, that
the airbike is very stable at high speed.
Next I will try the flevobike.
Cheers,
Jürgen.
A = 3173199830.95 >0
B = 111149511.127 V>0
C = -69487520268.3 + 1920852.17789 V**2>0
D = -392486933.044 V + 8918.87839987 V**3>0
E = 343390001850.0 + -34310.2308109 V**2>0
6th = 1.8520039709e+014 V**3 + -6.4780644377e+018 V>0
7th = 1.65177982125e+018 V**4 + -1.30041928911e+023 V**2+
-1.69975786462e+027 >0
velo A B C D E #6 #7
m/k 10**8 10**9 10**9 10**9 10**10 10**20 10**26
0.0 31.7 0.0 -69.5 0.0 34.3 0.0 -17.0
...
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