01373285

Component

Most recent route choice models, following either the random utility maximization or rule-based paradigm, require explicit enumeration of feasible routes. The quality of model estimation and prediction is sensitive to the appropriateness of the consideration set. However, few empirical studies of revealed route characteristics have been reported in the literature. This study evaluates widely applied shortest path assumption by evaluating morning commute routes followed by residents of the Minneapolis - St. Paul metropolitan area. Accurate global positioning system (GPS) and geographic information systems (GIS) data were employed to reveal routes people used over an eight to thirteen week period. Most people do not choose the shortest path. Using three weeks of that data, the authors find that current route choice set generation algorithms do not reveal the majority of paths that individuals took. Findings from this study may provide guidance for future efforts in building better route choice models.

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

01362476

12-3951

English

22p

2012

Transportation Research Board 91st Annual Meeting

Digital/other

Figures; Maps; References; Tables

Choice models; Commuting; Geographic information systems; Global Positioning System; Route choice; Shortest path algorithms; Traffic equilibrium

Wardrop model

Minneapolis (Minnesota); Saint Paul (Minnesota)

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2012 Paper #12-3951

TRIS, TRB

Feb 8 2012 5:20PM