Grey Relational Analysis for Route Choice Decision-making under Uncertain Information

The purpose of this work is to present a route choice decision-making method under uncertainty conditions, and to explain the route choice behavior process from behavior point of view. A method of grey relational analysis is presented to handle route choice decision-making problem, using interval number vectors of route attributes and incomplete attribute weights vectors. The influence factors of route choice are analyzed firstly. Then giving the interval values of each route attributes, the grey relational coefficient of each route alternative from positive ideal solution (PIS) and negative ideal solution (NIS) are calculated, and an optimal model is provided in order to get the suitable attribute weights vector. Furthermore, all alternative routes are ranked according to the rate values. In the end, a numerical example is given with the real network of 3 lanes and 7 alleys in Fuzhou, and the results show that the proposed method is simple and effective.