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A METHODOLOGY TO SIMULATE TRAVELERS’ BEHAVIOR FOR MODAL CHOICE USING AGENT BASED MODELING A METHODOLOGY TO SIMULATE TRAVELERS’ BEHAVIOR FOR MODAL CHOICE USING AGENT BASED MODELING

A METHODOLOGY TO SIMULATE TRAVELERS’ BEHAVIOR FOR MODAL CHOICE USING AGENT BASED MODELING - PowerPoint Presentation

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A METHODOLOGY TO SIMULATE TRAVELERS’ BEHAVIOR FOR MODAL CHOICE USING AGENT BASED MODELING - PPT Presentation

Mohammad Ahanchian PostDoc Energy System Analysis moahdtudk Tanu Priya Uteng Institute of Transport Economics TØI tanuPriyaUtengtoino Main avenues for decarbonization of inland ID: 816073

decision car trip agents car decision agents trip based transport time travel private ltm system data level carlo choice

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Slide1

A METHODOLOGY TO SIMULATE TRAVELERS’ BEHAVIOR FOR MODAL CHOICE USING AGENT BASED MODELING

Mohammad AhanchianPostDocEnergy System Analysismoah@dtu.dkTanu Priya UtengInstitute of Transport Economics (TØI)tanu.PriyaUteng@toi.no

Slide2

Main avenues for decarbonization of inland transport

2

Slide3

What is modal shift

cost, time, level

of service or reliability

3

Slide4

Dimensions of different modes

Travel Time

Travel Budget

4

Slide5

Agent

Based Modeling in Modal ShiftTravelers are regarded as agents.Agents don’t have interaction with each other. In TU Survey, there is no data about how people make decision. However, there are the historical data that how people

accomplished the trip.Make decision according to decision rules in

the traffic

system

.

AnyLogic

tool

using

JAVA

programming.

5

Slide6

Layers of this

study

6

Slide7

Data gathering and model structure

7

Slide8

Generate random agents (Monte Carlo)

8

Slide9

Monte Carlo Simulation

The Monte Carlo simulation will replicate 30 times in both approaches to show the robustness of the model

9

Slide10

Assign the attributes of responders to Agents

Individual Level

Family Level

Trip

10

Slide11

Decision making algorithm on mode of transport

The decision

rules

are

based

on

Tangible

and

intangible

costs

Availibility

of

infrastructure

Access to

bike

/car

Based on these rules, the agents

decide

on Mode of Transport

11

Slide12

Non-Motorized (NMT)

 

VoT

(DKK/Min) from LTM

varies

across

trip purpose (

e.g

., business vs.

other

purposes) and

household

income

.

12

Slide13

Private car

 

The choice of private car as a driver is conditional on having a driver’s license and car. Furthermore, the choice of private car as a passenger is conditional on having a car.

CongestionTime

extracted

from LTM and

changes

across

zones

Penalty

parameters

are

extracted

from LTM and

change

across

trip purpose

FDM (2017). Billigere at køre efter rundstykker.

13

Slide14

Total

Cost

Individual

n will choose alternative

i

*

if and only if

:

 

Public

14

Slide15

Calibration

15

Slide16

Results (BAU)

The results will predict commuter travel behavior and transportation system utilization in response to changes in fuel/ticket price, infrastructure (waiting/Acc/Egress time).

16

Slide17

THANK YOU FOR YOUR ATTENTIONQuestions

? Comments!moah@dtu.dktanu.PriyaUteng@toi.no

17