01340080

Component

In this paper, the authors propose a α-reliable mean-excess model for finding optimal path in stochastic networks. This new model accounts for not only the reliability aspect that the traveler wishes to arrive at his/her destination within the travel time budget, but also the unreliability aspect of encountering worst travel times beyond the acceptable travel time budget. The α-reliable mean-excess path finding model is consistent with the commuters’ route choice behavior revealed in several recent empirical studies. That is, commuters are not only interested in saving their travel time but also in reducing their risk of being late. The proposed model is formulated as a stochastic mixed-integer nonlinear programming problem. To solve this difficult problem, a double-relaxation scheme is developed to find the α-reliable mean-excess paths. Numerical results are presented to demonstrate the proposed model and solution procedure.

01329018

11-3967

English

15p

2011

Transportation Research Board 90th Annual Meeting

DVD

Figures (3) ; References; Tables (2)

Commuters; Mixed integer programming; Networks; Origin and destination; Route choice; Stochastic processes; Travel time

Path choice models; Time savings; Travel time reliability

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

Transportation Research Board Annual Meeting 2011 Paper #11-3967

TRIS, TRB

Feb 17 2011 6:42PM