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A recent approach in tactical service network design (SND) anticipates relocation operations of BSS by means of a dynamic transportation model yielding the required demand of relocation services (RS).
As a first case study, the internal model approach is used for designing a controller that achieves an optimal routing and inventory balancing in a dynamic transportation network with storage and time-varying supply and demand.
Finally, we use several numerical examples to illustrate the theoretical results and their practical implications for the transit operator to design appropriate transit schemes in a dynamic transportation environment.
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S.A.T. Project (US 6.431.078 B2) is a three-dimensional dynamic transportation system, which will create the first step towards the breaking-up with the bi-dimensional use of modern cities.
In this paper, in view of the connectivity uncertainty, a multi-period dynamic transportation model of variety emergency materials is presented based on CTM network, and a corresponding hybrid genetic algorithm is designed to solve the problem, the numerical example shows the effectiveness of the proposed algorithm.
Based on the resulting set of static and dynamic transportation requests, a set of return transports was generated.
By introducing an overall data structure for mesoscopic dynamic transportation simulation, we discuss a set of implementation issues for enabling flexible parallel computing on a multi-core shared memory architecture.
The aim is to design vehicle routes to serve partially dynamic transportation requests using a fixed vehicle fleet.
Note that we also studied the case in which information about the dynamic transportation requests from a patients' home location to the hospital is assumed to be available, but including this additional information brings only limited benefit (see Section 5.3 for details).
Bridj hopes to build a dynamic urban transportation system, designed to more efficiently shuttle people from their homes to work and back again.
Under the constrains of expected user admission rate and quality of service, we model the secondary network into a dynamic data transportation system.
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