Time-dependent routing

A restricted dynamic programming heuristic algorithm for the time dependent traveling salesman problem

Dynamic programming (DP) algorithms for the traveling salesman problem (TSP) can easily incorporate time dependent travel times, time windows, and precedence relationships which present difficulties for algorithms based on linear or nonlinear programming formulations and for many TSP heuristics. However, …

A classification of formulations for the (time-dependent) traveling salesman problem

The time-dependent traveling salesman problem (TDTSP) is a generalization of the classical traveling salesman problem where the cost of any given arc is dependent of its position in the tour. The TDTSP can model several real world applications (e.g., one-machine …

FASTEST PATHS IN TIME-DEPENDENT NETWORKS FOR INTELLIGENT VEHICLE-HIGHWAY SYSTEMS APPLICATION∗

We consider the problem of individual route guidance in an Intelligent Vehicle-Highway Systems (IVHS ) environment, based on time-dependent forecasts of link travel time. We propose a consistency condition which deterministic forecasts should be constrained to satisfy, and show that …

Modelling intra-city time-dependent travel speeds for vehicle scheduling problems

Many research papers have presented mathematical models for vehicle scheduling. Several of these models have been embedded in commercial decision support systems for intra-city vehicle scheduling for launderies, grocery stores, banks, express mail customers, etc. Virtually all of these models …

Time dependent vehicle routing problems: Formulations, properties and heuristic algorithms

The time dependent vehicle routing problem (TDVRP) is defined as follows. A vehicle fleet of fixed capacities serves customers of fixed demands from a central depot. Customers are assigned to vehicles and the vehicles routed so that the total time …

x
This site uses cookies to make navigation simple and efficient. By continuing you declare that you want to automatically accept the privacy policy. More. Close