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This paper on a path enumeration algorithm is from the proceedings of 14th international Conference on Urban Transport and the Environment in the 21st Century, which was held in Malta in 2008. The authors note that one of the difficulties of route choice modeling is to represent the process of generating a choice set explicitly in a network that includes infinite paths. Studies analyzing routes that a driver actually has used have not been conducted, so in most route choice models, the routes included in a choice set do not necessarily correspond to routes that a driver has actually used. However, the development of Probe Person Technology permits location data of the movable body with the use of GPS, so it is now possible to collect the data of routes a driver has actually used without burdening the driver with recordkeeping. In this paper, the authors discuss the choice set generation methods based on routes drivers actually used, and present case studies of route choice models that use these methods. They conclude with a brief discussion of other variables that must be considered, notably travel-time variances that influence the route choice behavior.

A suggestion of path enumeration algorithm based on massive behavioral space information