This paper presents a clustering search (CS) algorithm for the multicriteria dial-a-ride problem (DARP) from Vitória, Espírito Santo State, Brazil. In Vitória, users submit pickup and delivery requests for transportation between various origins and destinations with time windows for the pickup and delivery; these requests are serviced by a homogeneous fleet of vehicles based at the same depot. The aim is to plan a set of vehicle routes to service all requests while minimizing the transportation cost (commonly length or travel times), the number of vehicles used and the total waiting time inside the vehicles, under constraints such as vehicle capacities and precedence (the origin of a user must precede his/her destination on the route). Our CS was able to handle the particularities present in Vitória. Good computational results are reported for practical instances provided by the Department of Transportation, Traffic and Urban Infrastructure of Vitória.
Dial-a-ride; Clustering search; Multicriteria
