Using Agent Based Modeling to model

Pedestrian WayfindingModel by : , Final Project for “Complexity Based Models” Class , Professor : Alireza Karduni Moira Zelner

ABMAgent Based Modeling is used to simulate and of ac�ons interac�ons autonomous in agents complex systems.

Complex Systems?Ÿ It’s difficult or impossible to predict

complex systems. Ÿ Complex systems could be organized

or disorganized.Ÿ Proper�es of these systems emerge

from between their interac�onselements.

Ÿ C o m p l ex syste m s co u l d h ave different to different behaviorssitua�ons.

Ÿ

Why ABM?

Ÿ By using ABM we could understandsome of the behaviors in these complex systems.

Ÿ Understanding how a complex system such as a transporta�on network works can help us to create robust plans and policies that address the complexity of these systems

Pedestrians constantly use to informa�onnavigate the urban space and find their des�na�on.

The Process of Wayfinding

Ÿ The answers to these ques�ons are found from :

Ÿ Other People, The environment, Maps, Signage and ...

Number of blocks in the X and Y direction

Density of Destinations

Percentageof Important (Major) Destinations

Number of peoplein the streets

Percentage of Residents(pedestrians with knowledge)

make the rest pedestrians(Tourists)

percentage of residents’ knowledgeof destinations.

The radius in whichthe pedestrians lookfor destinations andother people

Add or removesigns by clicking on an intersection

Set up signage at a defined percentageof intersections

Set up streets andBocks

Set up destinationsat random locations

Randomly definemajor destinations

Place pedestriansand residents at random locationson the streets

Set two random destinations as a pedestrians trip plan

put a percentage of destinations in residentsknowledge list

Should pedestrians? haveperfect information ?

Set pedestrians initialknowledge list empty

Let each pedestrianknow all the destinations

Should pedestrianshave perfect information ?

No Yes

Setu

p S

tage

Setup Environment Setup People Setup Signage

Go

Is your destinationon your knowledge list?

Walk Randomly

NoNo

YesYes

Move forwardone ( distanceunit )

Is any residentin your searchradius?

NoNo YesYes

Does the resident/orsignage haveyour destination in his knowledge list ?

Ask Questions

YesYesNoNo

Move to your destination

Move forwardone ( distanceunit )

Put it in your knowledge list

Sto

p

Everyone are at their destination?

YesYesNoNo

Stop the ModelCalculate travel statistics for every pedestrian

Do nothing

Ÿ The wayfinding process is simplified as a series of pedestrians ques�onsasks about how to get to their des�na�on(s).

The Model

Agents and Environment

Tourist Residents

Do you know Where Destination 33 is?

Tourist

Do you know Where Destination 33 is?

Let’s seeif I can finddestination 45on this sign!

46

43

4766

Before After

Results

Model P

roce

ss (

pse

udo C

ode)

25% Residents with 30% knowledge,no signage

25% Residents with 10% knowledge with signage on 50 percent of intersections.

Try with different situations yourself!

Examine how different sign policieseffect travel time of pedestrians!