A BRT Network Route Design Model

In this research, a hyper graph of multi-modal urban transit network is developed to describe the architecture of urban transit system; the cost functions of travel strategies is promoted based on the analysis of passengers´ strategy-choosing preference, taking travel time reliability, waiting times, seat expectation and a variety of unexpected delay into account. A set of bi-level programming models are proposed for the purpose of finding a feasible solution for BRT network design problem, aiming at diverse performance indexes. A hybrid heuristic algorithm, particle swarm optimization, is employed to solve the models. Finally, a numerical example is presented to verify one of the models proposed and the algorithm designed, in which the algorithms for the lower-level model and those for the upper-level model are compared for performance and searching efficiency, respectively. Conclusions and recommendations are presented based on the analysis of the comparison.