1 / 19

# Source: NHI course on Travel Demand Forecasting ( 152054A) Session 10 - PowerPoint PPT Presentation

Traffic (Trip) Assignment. Source: NHI course on Travel Demand Forecasting ( 152054A) Session 10. Review. Trip Assignment Objectives: Explain the concept of an all-or-nothing assignment Explain the concept of an equilibrium assignment Identify the BPR formula

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.

## PowerPoint Slideshow about ' Source: NHI course on Travel Demand Forecasting ( 152054A) Session 10' - wanda-todd

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

Source: NHI course on Travel Demand Forecasting (152054A) Session 10

• Trip Assignment

• Objectives:

• Explain the concept of an all-or-nothing assignment

• Explain the concept of an equilibrium assignment

• Identify the BPR formula

• Identify the source of the input data to the BPR formula

• Explain the application of the BPR formula in an equilibrium assignment

• Explain the meaning of the volumes from an all-or-nothing assignment

• Explain the meaning of the volumes from an equilibrium assignment

Transit trip assignment

All-or-nothing assignment

Equilibrium assignment

Freeflow speed

Path finding

Impedance

Level of service

Capacity restraint

Terminology

• Inputs and Outputs

• Inputs

• O&D trip table

• Coded network

• Outputs

• Link flows as per coded network

• VMT

• Vehicle hours of travel

• Simple

• Inexpensive

• Results easy to understand

• Assumes all traffic will travel on shortest path

• Creates unrealistic flow patterns

(7)

24

(8)

(9)

9

These results

From this specification

Logit model

Can set Ui = -tti

Can set Ui = 1/tti, but if you do, will need a calibration coefficient

• Volume-delay relationship

• Average travel speed decreases with increased flow (volume)

• Average travel time increases as the volume-to-capacity ratio on a link increases

• The Bureau of Public Roads (BPR) formula, used as default in

most model packages

shows this relationship:

This is the α for a LOS E capacity. For LOS D capacity, α is closer to 0.15

Alpha and beta can be calibrated for various link types and assumed LOS for capacity

Source: Virginia Travel Demand Modeling Policies and Procedures Manual

Equilibrium Assignment assumed LOS for capacity

• Utilizes the concept of capacity restraint (link impedance depends on link flow levels)

• Assign traffic in congested networks so that no individual trip maker can reduce path costs by switching routes

• Assumes trip makers know conditions on all routes.

Note: it is difficult to demonstrate the usefulness of this process in such a simplified network. Imagine thousands of links and OD pairs, and you could see how running this multiple times could produce various loads on the many links. In this and some other examples in this lecture, the loading pattern would simply repeat itself.

50

50

Average of the first two iteration’s loads, and resulting travel times

10

13

11

100

12

12

14

100

16

16

16

Speed process in such a simplified network. Imagine thousands of links and OD pairs, and you could see how running this multiple times could produce various loads on the many links. In this and some other examples in this lecture, the loading pattern would simply repeat itself.

volume

Why? Because speed doesn’t change much until you get close to capacity … the times and loads here are for demonstration purposes only.

Note: 40% refers to 40% of the traffic between all OD pairs that use that link along their path. It may well be more or less than 40% of the capacity of the link itself.

Re-compute these times with 67 and 33 trips, respectively

Using Damping Factors to Control Oscillations process in such a simplified network. Imagine thousands of links and OD pairs, and you could see how running this multiple times could produce various loads on the many links. In this and some other examples in this lecture, the loading pattern would simply repeat itself.

By incorporating a damping factor you don't let the change in travel time between each iteration change so quickly. If the factor is, D = .5, then...instead of travel time changing from 7 to 12 minutes (change = 5), multiply change by .5, 5*.5 = 2.5, change travel time from 7 to 9.5 minutes.instead of travel time changing from 9.5 to 12 minutes (change = 2.5), multiply change by .5, 2.5*.5 = 1.25, change travel time from 9.5 to 10.75 minutes.

instead of travel time changing from 10 to 15 minutes (change = 5), multiply change by .5, 5*.5 = 2.5, change travel time from 10 to 12.5 minutes.

10 or 20 iterations or more may be needed in a real network

100

9.5

10.75

100

10

10.75

100

12.5

16

10.75

300/4=75

12.5

16

Re-compute these times with 75 and 25 trips, respectively

100/4=25

Older pseudo-equilibrium method (equilibrium approximation) process in such a simplified network. Imagine thousands of links and OD pairs, and you could see how running this multiple times could produce various loads on the many links. In this and some other examples in this lecture, the loading pattern would simply repeat itself.

This is not a true equilibrium method. It is a methods that was implemented in early models. TransCAD can do it, but it is not recommended

Another approximation method … see Ch. 9 of Travel Demand Modeling with TransCAD 5.0 for math details on equilibrium assignments

Transit Assignment process in such a simplified network. Imagine thousands of links and OD pairs, and you could see how running this multiple times could produce various loads on the many links. In this and some other examples in this lecture, the loading pattern would simply repeat itself.

• Links include different services running between stops or stations.

• Involves movement of passengers, not vehicles

• Complex interchange patterns associated with passengers

• Impedance functions includes fare structure

• Some paths offer more than one parallel service with complex associated choices (e.g., express bus versus local bus service)

Error Checking and Validation process in such a simplified network. Imagine thousands of links and OD pairs, and you could see how running this multiple times could produce various loads on the many links. In this and some other examples in this lecture, the loading pattern would simply repeat itself.

• Examine plotted trees

• Compare counted VMT with modeled VMT

• Compare external station counted volumes with modeled volumes.

• Compare counted and modeled screen line volumes

• Compare assigned volumes to ground counts for links grouped by facility type and by volume groups

Some discussion on TransCAD process in such a simplified network. Imagine thousands of links and OD pairs, and you could see how running this multiple times could produce various loads on the many links. In this and some other examples in this lecture, the loading pattern would simply repeat itself.

• True EU and SUE assignment methods

• Zone/node based

• Flow maps and v/c maps

• Accounting for and optimizing signal operations

• Combined trip dist/assignment method

• feedback

• Simultaneous modeling

• Question: what would happen if we tested the shortest path from an O to a D following various types of assignments

• All or nothing? Approximate methods?

• Stochasting or SUE? (for this, need to know all used flow paths between the O and D … how to get?)