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Route Choice Lecture 11 Norman W. Garrick

Route Choice Lecture 11 Norman W. Garrick

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Route Choice Lecture 11 Norman W. Garrick. Route Choice By Foot, Bus, Tram, Rail, Cable Car From Kirche Fluntern To ETH-Hoenggerberg. Route Choice or Trip Assignment. Trip assignment is the forth step of the FOUR STEP process - PowerPoint PPT Presentation

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Page 1: Route Choice Lecture 11 Norman W. Garrick

Route ChoiceLecture 11

Norman W. Garrick

Page 2: Route Choice Lecture 11 Norman W. Garrick

Route Choice

By Foot, Bus, Tram, Rail, Cable Car

From Kirche FlunternTo ETH-Hoenggerberg

Page 3: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Route Choice or Trip Assignment

Trip assignment is the forth step of the FOUR STEP process

It is used to determining how much traffic will use each link of the transportation system

Page 4: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Route Choice or Trip Assignment in 4 Step Process

Example

Consider two zones• Hartford CBD• West Hartford Center

Four Steps1. Trip Generation - Determines production from WH

Center2. Trip Distribution - Gives QIJ - Trips from WH Center

attracted to Hartford CBD3. Modal Split - Fraction of QIJ using different modes of

travel4. Trip Assignment - What roads? What bus routes?

Page 5: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Characterizing Road or Transit Network for Trip Assignment

In trip assignment the road network is represented by links and

nodes

Links - major roads including arterials, expressways and freeways (local roads are not usually included - this can be a problem in places like in WH Center were the local road network is very dense and carry a significant portion of the traffic)

Nodes - typically intersections or interchanges but could be other points that are important to the network

Each node is numberedLinks are specified by the nodes at the endEach link is associated with an impedance (the impedance might

not be the same in each direction

Page 6: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Example Road Network for Trip Assignment

1 2

4

3

5

687

109

11

12

13 14

5 5

1, 2, 3, 4, 5 are zone centroids

Page 7: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network B

1

4

5

3

(3)

(7)

2

(2)

(5) (4)

(4)(2)

(4) (6)(8)

Page 8: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Link Array Network B

1 2 3 4 5

1

2

3

4

5

JI

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

Page 9: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Link Array Network B

I=1

1 2 3 4 5

1 ? ?

2

3

4

5

JI

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

Page 10: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Link Array Network B

I=1

1 2 3 4 5

1 3 5

2 ? ?

3

4

5

JI

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

Page 11: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Link Array Network B

I=2

1 2 3 4 5

1 3 5

2 4 2

3

4

5

JI

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

Page 12: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Link Array Network B

All I

1 2 3 4 5

1 3 5

2 4 2

3 4 6

4 2 4 7

5 8

JI

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

Page 13: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Link Table Network B

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

i j wij

1 2 3

Page 14: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

i j wij

1 2 3

1 3 5

Link Table Network B

Page 15: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

i j wij

1 2 3

1 3 5

2 1 4

2 4 2

Link Table Network B

Page 16: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Link Table Network B

14

5

3

(3)

(7)

2

(2)

(5)(4)

(4) (2)

(4) (6)

(8)

i j wij

1 2 3

1 3 5

2 1 4

2 4 2

3 1 4

3 4 6

4 2 2

4 3 4

4 5 7

5 4 8

Page 17: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Route Choice Behavior

Trip assignment is based on one of two assumptions about traveler's behavior1. User Equilibrium2. System Equilibrium

User EquilibriumBased on the assumption that users try to minimize their individual time of

travel by going along the shortest path from origin to destination

System EquilibriumBased on the assumption that users try to minimize the TOTAL system

cost - that is the cost for all users of the system, not just his or her own cost

Route assignment based on user equilibrium require that we determine the ‘minimum path’ between any two zones or the ‘minimum tree’ which is a diagram showing the minimum path from one zone to all other zones

Page 18: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network BMinimum Tree from Node 1

1

4

5

3

(3)

(7)

2

(2)

(5)

(4)(2)

(4)(8)

(4)

(6)

There are two ways to go from Node 1 to Node 5

1.1 to 2 to 4 to 5

2.1 to 3 to 4 to 5

Which has the highest impedance?

1 to 2 to 4 to 5 is the min. path from 1 to 5

There are two ways to go from Node 1 to Node 4

1.1 to 2 to 4

2.1 to 3 to 4

Which has the highest impedance?

1 to 2 to 4 is the min. path from 1 to 4

Page 19: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network BMinimum Tree from Node 1

1

4

5

3

(3)

(7)

2

(2)

(5)

(4)(2)

(4)(8)

(4)

(6)

There is one way to go from Node 1 to Node 2

1 to 2

1 to 2 is the min. path from 1 to 2

There is one way to go from Node 1 to Node 3

1 to 3

1 to 3 is the min. path from 1 to 3

Page 20: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network BMinimum Tree from Node 1

1

4

5

3

(3)

(7)

2

(2)

(5)

(4)(2)

(4)(8)

(4)

(6)

Page 21: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network BMinimum Tree from Node 4

1

4

5

3

(3)

(7)

2

(2)

(4)

(4)(2)

(6)(8)

There is an algorithm for finding the minimum tree

We will not cover the algorithm in this class

(5)

(4)

Page 22: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network BTree Table from Node 4

14

5

3

(3)

(7)

2

(2)

(4)

(4) (2)

(6)(8)

Node ( j ) Total Impedance to Node j

Node Preceding j

1

2

3

4

5

Page 23: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network BTree Table from Node 4

14

5

3

(3)

(7)

2

(2)

(4)

(4) (2)

(6)(8)

Node ( j ) Total Impedance to Node j

Node Preceding j

1 6 2

2

3

4

5

Page 24: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Network BTree Table from Node 4

14

5

3

(3)

(7)

2

(2)

(4)

(4) (2)

(6)(8)

Node ( j ) Total Impedance to Node j

Node Preceding j

1 6 2

2 2 4

3 4 4

4 0 -

5 7 4

Page 25: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Allocating Traffic to Individual Routes

Once the MINIMUM PATH is determined between different zones then traffic can be allocated to the various links between the zones

One common approach is the FREE FLOW/ALL-OR-NOTHING TRAFFIC ASSIGNMENT Technique

As the name implies, the technique assumes that all traffic between any two zones will use the minimum path between those two zones. The other big assumption is that the minimum path is calculated based on FREE FLOW conditions. In other ways, it is assumed that the minimum path calculations will not be affected by the amount of traffic using that path.

This is obviously this an unreasonable assumption. Other traffic assignment techniques have been developed which tries to correct for the two big problems with Free Flow/All-or-Nothing Traffic Assignment

Page 26: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

Allocating Traffic to Individual Routes (continued)

FREE Flow/Multipath Traffic Technique

Does not assume that all traffic will use the minimum path - instead traffic is assigned to the various paths between the two zones based on their relative impedance. So for example, the path with the minimum impedance will get the most traffic followed by paths with increasing impedance

This method is still limited by the fact that the impedance is based on free flow assumptions and the impedance value is not changed to reflex the level of traffic loading.

Capacity-Restrained Traffic Assignment Techniques

Accounts for the fact that as the traffic on a link increases, the impedance also increases. Therefore, it is based on an interactive traffic assignment process that re-calculate the impedance to account for the level of traffic assigned to each link. As you can imagine this is a complex and computer intensive process.

Page 27: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

1 2

3

4 5

6

2 2 2 3

4

4

10

6

2

3

Using Free Flow/All-or-Nothing Assignment - Example

3

2

J 1 2 3

Q1j 200 400 800

Q2j 150 200 100

Q3j 300 600 350

Trip Exchange

Page 28: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

1 2

3

4 5

6

2 2 2 310

6

Minimum Tree – Zone 1

3

2

2

3

Page 29: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

1 2

3

4 5

6

Free Flow/All-or-Nothing Assignment – Zone 1

J 1 2 3

Q1j 200 400 800

Q2j 150 200 100

Q3j 300 600 350

Trip Exchange

800

800

400

400

8004001200

Page 30: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

1 2

3

4 5

6

2 2 2 3

4

4

2

3

Minimum Tree – Zone 2

3

2

Page 31: Route Choice Lecture 11 Norman W. Garrick

Norman W. Garrick

1 2

3

4 5

6

2 2 2 3

4

4

2

3

Minimum Tree – Zone 3

3

2