01478244

Component

Studying travel behavior and activity engagement in an activity-based framework has been a focus of research for nearly half a century. A number of elegant and comprehensive models have been developed to address questions pertaining to activity participation, agenda formation, scheduling, and travel behavior of individuals. Despite the progress made in activity-based models, there is still a significant need for model improvements in the sense of modeling activity selection procedure and scheduling. In this paper, the authors propose a comprehensive model, which is the integration of discrete choice models, fuzzy concepts and Household Activity Pattern Problem (HAPP) to forecast household activity pattern based on socio-demographic characteristics. By using the values of probabilities obtained from a multivariate probit model applied to clustered households and mapping them to a set of fuzzy graphs, the authors compute the possibility of inclusion of an activity in the agenda. Activity scheduling and selection is then modeled as the outcome of a mixed integer optimization problem, in which the objective function is maximizing the expected desirability gained from activities and total saved time, subject to network connectivity, time windows, time budget and cost budget constraints.

This paper was sponsored by TRB committee ADB10 Traveler Behavior and Values.

01470560

13-2876

English

19p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References; Tables

Activity choices; Cluster analysis; Decision making; Fuzzy systems; Time windows; Travel behavior; Travel patterns; Uncertainty

Discrete choice models

Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2013 Paper #13-2876

TRIS, TRB, ATRI

Feb 5 2013 12:35PM