HighlightsDOE is used for the single-direction transit route’s robust schedule.Taguchi design (TD) is applied in the DOE.Pareto-optimal factors in TD are determined.
AbstractIn this paper, the design of experiment (DOE) technique is used to formulate the robust schedule for the single-direction transit route. Factors affecting transit schedule performance are classified into two categories: the controllable and the uncontrollable. With Taguchi design method, these two types of factors are crossed mutually to carry out the Monte Carlo simulation to obtain the expected and variance values of the total schedule deviation. Next, two Kriging metamodels are fitted to describe relationships between controllable factors and the total transit schedule deviation. Based on these Kriging metamodels, the Pareto-optimal solution of the robust transit schedule is obtained.
Simulation-based robust optimization for the schedule of single-direction bus transit route: The design of experiment
2017-08-01
28 pages
Article (Journal)
Electronic Resource
English
Transportation , Transit schedule , Robust optimization , Kriging metamodel , Design of experiment , Taguchi design , DOE , design of experiment , AVL , automatic vehicle location , MCS , Monte Carlo simulation , TD , RO , SLT , slack time , ATT , actual travel time , SAT , scheduled arrival time , SD , schedule deviation , AAT , actual arrival time , TASD , total absolute schedule deviation , OA , orthogonal array , EAP , experimental area of the parameter , LHS , Latin hypercube sampling , COP , constrained optimization problem
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