Bicycle Trip Assignment:
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Bicycle Trip Assignment: Energy Consumption as Travel Cost Variable Olena Tokmylenko MCRP candidate 2013 Clemson University
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Bicycle Trip Assignment:. Energy Consumption as Travel Cost Variable. Olena Tokmylenko MCRP candidate 2013 Clemson University. Source: Los Angeles Bicycle Plan . What we think people experience. What people actually experience . Model Structure. gender. age. athleticism. slope. - PowerPoint PPT Presentation
Transcript of Bicycle Trip Assignment:
Bicycle Trip Assignment:Energy Consumption as Travel Cost Variable
Olena TokmylenkoMCRP candidate 2013Clemson University
Source: Los Angeles Bicycle Plan
What we think people experience
What people actually experience
Model Structure
Optimal
route
Travel Time
Energy Expenditu
re
speed
Physiological
conditions
athleticismgender age
distance
sloperiders
masswind resistan
ceetc.
power
Level of proficiencyGroup “A”Advanced or experienced
Group “B”Basic or less confident
Group “C”Children
Wingate Anaerobic Test Classification of Peak Power and Anaerobic Capacity for Female and Male NCAA Division I Collegiate Athletes
Human PowerAerobic Capacity vs Anaerobic
capacity Functional Threshold PowerCritical Power
power critical )duration
1 capacity work (anaerobic Power Sustained
Bicycling Power
VCsmgVVKW RwAw )]()([ 2
Where
Characteristics of five types of bicycle and rider
Roadster (Utility) bicycle
Sports bicycle
Road racing bicycle
Frontage area, A (m²)
0.5 0.4 0.33
Drag coefficient, 1.2 1 0.9Bicycle mass (kg) 15 11 9Rider mass (kg) 77 75 75Rolling resistance coefficient,
0.008 0.004 0.003
Force of rolling resistance, (N)
7.218 3.374 2.471
Aerodynamic drag factor, (kg/m)
0.368 0.245 0.182
Source: “Bicycling Science” David G. Wilson
Constant parametersVelocity,
m/sRider’s Mass,
kgSlope,% Headwind Velocity,
m/s5 70 0 3
Velocity, mi/h
Rider’s Mass, lb
Slope,% Headwind Velocity, mi/h
~ 11 ~155 0 ~7
U.S. Measurement System
Metric Measurement System
Bicycling Power
1 2 3 4 5 6 7 8 9 10 11 12 13 14 150
200400600800
100012001400
velocity, m/s
pow
er, w
att
50 60 70 80 90 100 110 1200
200400600800
100012001400
mass, kg
pow
er, w
att
0% 2% 4% 6% 8%10%12%14%16%18%20%22%24%0
200400600800
100012001400
slope
pow
er, w
att
00.511.522.533.544.555.566.577.588.590
200400600800
100012001400
wind velocity, m/s
pow
er, w
att
Types of bicyclists
Utilitarian
Recreational
Model AssumptionsUtilitarian cyclistsDifferent level of skills with a
stress to averageDecision is made and origins and
destinations are known
Model Structure
Optimal
route
Travel Time
Energy Expenditu
re
speed
Physiological
conditions
athleticismgender age
distance
sloperiders
masswind resistan
ceetc.
power
ConclusionOne of the most important factor that
affect bicycling power expenditure can be addressed by planners while designing infrastructure
The results of the model can minimize the cost of data collection and enrich behavior models
The effective planning based on travel time and energy expenditure can provide better experience to the cyclists
Next StepsPropose classes of cyclist based
on their power levelApply slope-speed-power
relationship to the road network to determine travel time
Measure energy expenditure of the riders
Test the model on real city network
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