01697424

Component

As travellers are faced with an increasing portfolio of transportation options, researchers are similarly faced with increasing complexity of modelling efforts to study people’s choices and behaviour. While discrete-choice models and in particular mode-choice models are widely used to study how people react to specific changes in the system, little published research exist that analyses the possibilities and pitfalls of pairing mode-choice models with the traffic simulation inside of an iterative process. The work presented here describes a structured framework for using discrete choice models along with microsimulation. While the outcomes are based on the MATSim framework, they can be generalised. The obtained results show that the combination of a mode-choice model with MATSim is a promising approach to set up a feedback-enabled transport simulation. Given well-designed constraints on top of the choice model, a good fit with the reference data is achieved. While the modeller loses some of the freedom he or she has within the plan modelling in MATSim, gains in computation time and a reduced effort for calibration are achieved. The authors find that a tour-based model formulation is to be preferred over a trip-based one because by construction more consistent travel decisions are made. While a trip-based model could probably be calibrated to yield a good fit with MATSim, the tour-based model bears the potential of not having to perform a lot of calibration work when setting up the simulation.

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.

19-02409

English

19p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References; Tables

Microsimulation; Mode choice; Traffic simulation

MATSim (Computer program)

Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2019 Paper #19-02409

TRIS, TRB, ATRI

Dec 7 2018 9:27AM