01661395

Component

Over the last few decades, there have been two different streams of data used for driving behaviour research: trajectory data collected from the field (using video recordings, GPS, etc.) and experimental data from driving simulators (where the behaviours of the drivers are recorded in controlled laboratory conditions). Previous research has shown that the parameters of car-following models developed using simulator data are not directly transferable to the field. In this research, the authors investigate the differences in further details and compare alternative methods to overcome the problem. Two main approaches are tested: 1) econometric approaches for increasing model transferability (Bayesian Updating and Combined Transfer Estimation) and 2) joint estimation using both data sources simultaneously. The stimulus-response based car-following models developed using experimental data collected from the University of Leeds Driving Simulator (UoLDS) and detailed trajectory data collected from Interstate 80 (I-80), CA, USA have been used in this regard. T-tests for individual parameter equivalence and Transferability Test Statistic for model transferability (TTS) are used for evaluating the performance of each proposed approach. The results indicate that the transferability can be improved after parameter updating and combined transfer estimation outperforms the other approaches. The findings of this study can be useful in more effectively using driving simulator data for development of mainstream mathematical models of driving behaviour.

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

18-05583

English

17p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Car following; Driving simulators; Econometric models; Field studies; Mathematical models; Traffic data

California

Highways; Operations and Traffic Management; Planning and Forecasting

Transportation Research Board Annual Meeting 2018 Paper #18-05583

TRIS, TRB, ATRI

Jan 8 2018 11:25AM