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1197. A space-time-energy flow-based Iinteger programming model to design and operate a regional SAEV system and corresponding charging network
Invited abstract in session TD-56: Advancing mobility towards sustainable solutions II, stream Transportation.
Tuesday, 14:30-16:00Room: S04 (building: 101)
Authors (first author is the speaker)
| 1. | Gonçalo Santos
|
| Department of Civil Engineering, University of Coimbra | |
| 2. | Sebastian Birolini
|
| Department of Management, Information, and Production Engineering, University of Bergamo | |
| 3. | Gonçalo Correia
|
| Transport & Planning, TUDelft |
Abstract
Shared automated vehicles are expected to be part of the supply of transportation systems in the future. Parallel to this evolution, there is the rapid penetration of battery electric vehicles (BEVs). The limitations in battery capacity and charging speed of BEVs can influence the planning and operation of shared automated electric vehicle (SAEV) systems. The design of such systems needs to include these limitations so that their viability is properly estimated. In this paper, we develop a space–time-energy flow-based integer programming (IP) model in support of the strategic design of a regional SAEV system. The proposed approach optimizes the fleet (size and composition) and charging facilities (number and location), while explicitly accounting for vehicle operations in aggregated terms (including movements with users, relocations, and charging times). The model is used to assess the impact of vehicle range and different types of chargers in the optimal design of an interurban SAEV transport system in the center of Portugal. Link to paper: https://doi.org/10.1016/j.trc.2022.103997
Keywords
- Network Flows
- Programming, Linear
- Programming, Integer
Status: accepted
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