Electric Bus Scheduling and Optimal Charging

Messaoudi, Bilal; Oulamara, Ammar

doi:10.1007/978-3-030-31140-7_15

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…Janovec and Kohani propose an exact solution based on LP and demonstrate the results with 4 different scenarios [22]. Meassaudi and Oulamara propose a MILP and a decomposition model [24]. MILP did not manage to solve even the smallest instance and the results demonstrated in the paper were calculated using the decomposition model.…”

Section: Comparison With Other Models and Algorithmsmentioning

confidence: 98%

“…In addition to the charging on one centralized bus depot, buses can also charge on several further stops during the trip. Messaoudi and Oulamara tackle the problem of bus scheduling, allocations to the parking space at the depot and charging schedule [24]. They propose a mixed integer linear programming (MILP) model for very small instances and a decomposition model (DM) for larger problems.…”

Section: Literature Overviewmentioning

confidence: 99%

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Route Scheduling for Centralized Electric Bus Depots

Jahic

Plenz

Eskander

et al. 2021

IEEE Open J. Intell. Transp. Syst.

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Route scheduling is crucial for uninterrupted operation of modern bus fleets consisting of electric buses. This paper proposes an exact route scheduling optimization model for centralized bus depots based on mixed integer linear programming. In order to adjust to the current situation at many electric bus depots, the model considers a heterogeneous fleet consisting of multiple types of electric buses with different battery capacities. With additional charging scheduling the model can minimize the number of buses charging simultaneously which directly leads to load peak reduction. This allows considering further parameters, such as for example the grid capacity limit. The model can be used to minimize the necessary number of buses, to define the optimum composition of the fleet as well as to minimize the total cost of the fleet. The results show a clear cost advantage of operating a heterogeneous fleet as well as the benefits of combined route-and charging scheduling. Timetables from five real depots from the city of Hamburg in Germany were used as examples in this paper. Analysis of the proposed model using real data can provide a valuable input to other transportation companies preparing for the electrification of their fleet.

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Section: Comparison With Other Models and Algorithmsmentioning

confidence: 98%

Section: Literature Overviewmentioning

confidence: 99%