Autonomous connected electric vehicle (ACEV)-based car-sharing system modeling and optimal planning: A unified two-stage multi-objective optimization methodology
Jiangchen Li and
Tony Z. Qiu
Energy, 2019, vol. 169, issue C, 797-818
The car-sharing system based on booming autonomous connected electric vehicles (ACEV-based car-sharing system) has a large potential to significantly improve mobility, safety, and environmental friendliness of current transportation systems. However, the ACEV-based car-sharing system lacks comprehensive investigations which considering new emerging features. Also, it is constrained by inherent shortages of traditional car-sharing policies and various involved electric vehicle technologies, e.g., high-cost vehicle relocation, limited vehicle range and long recharge time. To address these problems, a general two-stage multi-objective optimization model is proposed, where it comprehensively formulates the emerging features and mitigates the inherent shortages. Two major goals are achieved, where the appropriated geographical service area is optimized in the first stage and the charging infrastructure allocation is efficiently processed in the second stage. In each stage, the multi-objective optimization model would simultaneously benefit both users and service providers. Also, a novel hybrid parking mechanism is proposed to compromise user flexibility and system management efficiency. The results demonstrate the effectiveness of the proposed method from multiple perspectives. (1) With appropriate estimations of a geographical service area and a reasonable ratio of vehicles to charging infrastructures, the proposed system can offer users efficient service qualities while maintaining a high vehicle usage frequency simultaneously. (2) Further, we find that the electric vehicle (EV) range, the charging speed, and the vehicle supply have a significant impact on the system. Especially, it noted that a fast charging speed gains a vital operation efficiency improvement. (3) In addition, more benefits are achieved when AV and CV technologies are adopted in the system. (4) Also, the adoption of ACEVs can almost reduce the overall CO2 emissions by 42.03% and energy consumption by 31.34% than internal combustion vehicles.
Keywords: Electric vehicle; Car-sharing system; Charging infrastructure allocation; Connected and automated vehicle (CAV); Multi-objective optimization model; Hybrid parking mechanism (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:169:y:2019:i:c:p:797-818
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().