Research Article
A Continuous Deviation-Flow Location Problem for an Alternative-Fuel Refueling Station on a Tree-Like Transportation Network
Table 2
Comparison among three methodologies for solving an AF refueling station location problem.
| ā | Kim and Kuby [20] | Ventura et al. [18] | Proposed solution approach |
| Objective function | Maximizing the total traffic flow covered by the station | Maximizing the total traffic flow covered by the station | Maximizing the total traffic flow covered by the station |
| Set of candidate sites | (i) Predetermined (ii) Finite (vertices only) | (i) Transportation network (ii) Infinite (anywhere in the network) | (i) Transportation network (ii) Infinite (anywhere in the network) |
| Deviation | Yes | No | Yes |
| Deviation paths | Endpoints of deviation paths must be vertices | N/A | One endpoint of a deviation path must be a vertex and the other can be any point along the network |
| Main constraints | (i) Number of refueling stations (ii) Vehicle driving range (iii) Distance decay functions for traffic flow rate on deviation paths | (i) Setting up an initial refueling station (ii) Vehicle driving range (iii) Positive traffic flow rate for some short trips | (i) Setting up an initial refueling station (ii) Vehicle driving range (iii) Portion of drivers who select the deviation option |
| Global optimum | No | Yes | Yes |
| Computational complexity | NP-hard | Polynomial () | Polynomial () |
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= number of vertices.
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