01518304

Component

Drivers' diversion decision behavior under expressway variable message signs that provide travel time of both an expressway route and a local street route is investigated. Both a conventional cross-sectional logit model and a mixed logit model are developed to model drivers' response. It is based on the data collected from a stated preference (SP) survey. The mixed logit model accounts for taste variations across individuals regarding certain alternative attributes (i.e. travel time and number of traffic lights) and correlations among repeated choices of the same respondent. Results show that travel time saving and driving experience serve as positive factors, while the number of traffic lights on the arterial road, expressway use frequency, being a mid-age driver and an employer-provided car driver serve as negative factors in diversion. The mixed logit model obviously outperforms the cross-sectional model in dealing with repeated choices regarding the goodness of fit criterion. The significance of standard deviations of random coefficients for travel time and number of traffic lights evidences the existence of taste variations across individuals. The findings of this study have implications for future efforts in driver behavior modeling and advanced traveler information system assessment.

This paper was sponsored by TRB committee AND20 User Information Systems.

01503729

14-0806

English

12p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Multinomial logits; Traffic diversion; Traffic signals; Travel behavior; Travel time; Variable message signs

Shanghai (China)

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-0806

TRIS, TRB, ATRI

Jan 27 2014 2:20PM