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Multi-Agent Traffic Assignment of a Synthetic Stockholm Population
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Static assignment methods have several limitations which form a motivation

for dynamic traffic assignment (DTA). The degree project is aligned with

a research project which aims to create a disaggregate model system. The

components are the travel demand model Regent, the MATSim simulation

framework and a commercial DTA package. The scope of the degree project is

the interaction between Regent and MATSim.

A synthetic population is generated by Regent. The goal of the degree

project is to transform this population onto a form that can be simulated by

MATSim and set up a simulation of the greater Stockholm area. A method

is developed to assign activity locations to building coordinates and set the

parameters of MATSim’s utility function. The model is calibrated using the

Cadyts tool and an agent-based dynamic traffic assignment is performed with


In a case study, road traffic in Stockholm is simulated. Traffic is underestimated

but the calibrated model manages to reproduce traffic counts in the

morning peak period if there are no incorrect link capacities. The Stockholm

bypass is evaluated in an alternative scenario. The result of this evaluation is

not reliable due to the prototypical nature of the model system.

Place, publisher, year, edition, pages
2015. , 63 p.
TSC-MT, 15-017
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-181927OAI: diva2:901932
Available from: 2016-02-09 Created: 2016-02-09

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