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Traffic Assignment (Route
Choice)
Caliper Corp.
Trip Assignment
• Trip makers choice of path between origin and
destination
• Path: streets selected
• Transit: usually set by route
• Results in estimate of traffic volumes on each
roadway in the network
Minimum Path
• Theory: users will select the quickest route
between any origin and destination
• Several route choice models (all based on some
“minimum” path)
– All or nothing
– Multipath
– Capacity restraint
Minimum Tree
• Starts at zone and selects minimum path to each
successive set of nodes
• Until it reaches destination node
1
2
3
4
5
(3)
(4)
(2)
(4)
(7)
Path from 1 to 5
Minimum Tree
1
2
3
4
5
(3)
(4)
(2)
(4)
(7)
1. Path from 1 to 5 first passes thru 4
2. First select minimum path from 1 to 4
3. Path 1-2-4 has impedance of 5
4. Path 1-3-4 has impedance of 8
5. Select 1-2-4
All or Nothing
• Allocates all volume between zones to
minimum path based on free-flow link
impedances
• Does not update as the network loads
• Becomes unreliable as volumes and travel
time increases
Multi-Path
• Assumes that all traffic will not use shortest path
• Assumes that traffic will allocate itself to alternative paths
between a pair of nodes based on costs
• Uses some method to allocate percentage of trips based on
cost
– Utility functions (logit)
– Or some other relationship based on cost
• As cost increases, probability that the route will be chosen
decreases
Capacity Restraint
• Once vehicles begin selecting the minimum
path between a set of nodes, volume
increase and so do travel times
• Original minimum paths may no longer be
the minimum path
• Capacity restraint assigns traffic iteratively,
updating impedance at each step

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Trip Assignment ppt.pdf

  • 2. Trip Assignment • Trip makers choice of path between origin and destination • Path: streets selected • Transit: usually set by route • Results in estimate of traffic volumes on each roadway in the network
  • 3. Minimum Path • Theory: users will select the quickest route between any origin and destination • Several route choice models (all based on some “minimum” path) – All or nothing – Multipath – Capacity restraint
  • 4. Minimum Tree • Starts at zone and selects minimum path to each successive set of nodes • Until it reaches destination node 1 2 3 4 5 (3) (4) (2) (4) (7) Path from 1 to 5
  • 5. Minimum Tree 1 2 3 4 5 (3) (4) (2) (4) (7) 1. Path from 1 to 5 first passes thru 4 2. First select minimum path from 1 to 4 3. Path 1-2-4 has impedance of 5 4. Path 1-3-4 has impedance of 8 5. Select 1-2-4
  • 6. All or Nothing • Allocates all volume between zones to minimum path based on free-flow link impedances • Does not update as the network loads • Becomes unreliable as volumes and travel time increases
  • 7. Multi-Path • Assumes that all traffic will not use shortest path • Assumes that traffic will allocate itself to alternative paths between a pair of nodes based on costs • Uses some method to allocate percentage of trips based on cost – Utility functions (logit) – Or some other relationship based on cost • As cost increases, probability that the route will be chosen decreases
  • 8. Capacity Restraint • Once vehicles begin selecting the minimum path between a set of nodes, volume increase and so do travel times • Original minimum paths may no longer be the minimum path • Capacity restraint assigns traffic iteratively, updating impedance at each step