eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand
In the emerging paradigm of embodied intelligence, eVTOL technology holds significant potential to transform the low-altitude economy, particularly in short-distance emergency logistics and urban distribution. Companies like Meituan and Shunfeng (SF) are pioneering fixed low-altitude routes to reduc...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/16/4/220 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850179965175201792 |
|---|---|
| author | Tao Li Yingjun Du Zemin Zhang Yushun Wang |
| author_facet | Tao Li Yingjun Du Zemin Zhang Yushun Wang |
| author_sort | Tao Li |
| collection | DOAJ |
| description | In the emerging paradigm of embodied intelligence, eVTOL technology holds significant potential to transform the low-altitude economy, particularly in short-distance emergency logistics and urban distribution. Companies like Meituan and Shunfeng (SF) are pioneering fixed low-altitude routes to reduce reliance on human delivery. We first investigate the performance and routing of Meituan’s eVTOL system, focusing on the dynamic optimization of eVTOL reserves and total costs at distribution stations under fluctuating order surges and charging constraints. An iterative algorithm is constructed, supported by numerical examples and Monte Carlo simulations. Our results reveal that cost parameters and demand characteristics jointly shape eVTOL incremental decision-making and its economic performance. To optimize costs, strategies like multi-period decentralized scheduling or low-frequency centralized decision-making are proposed. Future research will address limitations such as 2C charging effects and joint battery-eVTOL replenishment to further advance urban logistics and low-altitude economy development. |
| format | Article |
| id | doaj-art-29f0c14a7dd247eeaf0cdd881cf5aead |
| institution | OA Journals |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-29f0c14a7dd247eeaf0cdd881cf5aead2025-08-20T02:18:21ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-04-0116422010.3390/wevj16040220eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery DemandTao Li0Yingjun Du1Zemin Zhang2Yushun Wang3School of Artificial Intelligence Technology, Guangxi Technological College of Machinery and Electricity, No. 101 Da Xue Dong Road, Nanning 530007, ChinaSchool of Artificial Intelligence Technology, Guangxi Technological College of Machinery and Electricity, No. 101 Da Xue Dong Road, Nanning 530007, ChinaSchool of Artificial Intelligence Technology, Guangxi Technological College of Machinery and Electricity, No. 101 Da Xue Dong Road, Nanning 530007, ChinaSchool of Photoelectric Engineering, Changzhou Institute of Technology, Changzhou 213032, ChinaIn the emerging paradigm of embodied intelligence, eVTOL technology holds significant potential to transform the low-altitude economy, particularly in short-distance emergency logistics and urban distribution. Companies like Meituan and Shunfeng (SF) are pioneering fixed low-altitude routes to reduce reliance on human delivery. We first investigate the performance and routing of Meituan’s eVTOL system, focusing on the dynamic optimization of eVTOL reserves and total costs at distribution stations under fluctuating order surges and charging constraints. An iterative algorithm is constructed, supported by numerical examples and Monte Carlo simulations. Our results reveal that cost parameters and demand characteristics jointly shape eVTOL incremental decision-making and its economic performance. To optimize costs, strategies like multi-period decentralized scheduling or low-frequency centralized decision-making are proposed. Future research will address limitations such as 2C charging effects and joint battery-eVTOL replenishment to further advance urban logistics and low-altitude economy development.https://www.mdpi.com/2032-6653/16/4/220low-altitude economylow-altitude logisticseVTOL catering deliveryembodied intelligencesmart city complex terrainMonte Carlo simulation |
| spellingShingle | Tao Li Yingjun Du Zemin Zhang Yushun Wang eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand World Electric Vehicle Journal low-altitude economy low-altitude logistics eVTOL catering delivery embodied intelligence smart city complex terrain Monte Carlo simulation |
| title | eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand |
| title_full | eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand |
| title_fullStr | eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand |
| title_full_unstemmed | eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand |
| title_short | eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand |
| title_sort | evtol dispatch cost optimization under time varying low altitude delivery demand |
| topic | low-altitude economy low-altitude logistics eVTOL catering delivery embodied intelligence smart city complex terrain Monte Carlo simulation |
| url | https://www.mdpi.com/2032-6653/16/4/220 |
| work_keys_str_mv | AT taoli evtoldispatchcostoptimizationundertimevaryinglowaltitudedeliverydemand AT yingjundu evtoldispatchcostoptimizationundertimevaryinglowaltitudedeliverydemand AT zeminzhang evtoldispatchcostoptimizationundertimevaryinglowaltitudedeliverydemand AT yushunwang evtoldispatchcostoptimizationundertimevaryinglowaltitudedeliverydemand |