Recently, there has been renewed interest in improving the logit-based route choice model because of the importance of the route choice model in intelligent transportation systems applications, particularly the applications of advanced traveler information systems. The paired combinatorial logit (PCL) model and its equivalent mathematical programming formulation for the route choice problem have been studied. An algorithm based on the partial linearization method is presented for solving the PCL stochastic user equilibrium problem. Detailed examples are provided to explain how this hierarchical logit model resolves the overlapping problem through the similarity index while still accounting for both congestion and stochastic effects in the mathematical programming formulation.
Solving the Overlapping Problem in Route Choice with Paired Combinatorial Logit Model
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 1857 , 1 ; 65-73
2003-01-01
Article (Journal)
Electronic Resource
English
Solving the Overlapping Problem in Route Choice with Paired Combinatorial Logit Model
Online Contents | 2003
|ADAPTATION OF THE PAIRED COMBINATORIAL LOGIT MODEL TO THE ROUTE CHOICE PROBLEM
Taylor & Francis Verlag | 2005
|Link-Nested Logit Model of Route Choice: Overcoming Route Overlapping Problem
British Library Conference Proceedings | 1998
|Link-Nested Logit Model of Route Choice: Overcoming Route Overlapping Problem
Online Contents | 1998
|Link-Nested Logit Model of Route Choice: Overcoming Route Overlapping Problem
Transportation Research Record | 1998
|