TY - JOUR
T1 - An intelligent green vehicle management system for urban food reliably delivery:A case study of Shanghai, China
AU - Fu, Zhengtang
AU - Dong, Peiwu
AU - Ju, Yanbing
AU - Gan, Zhenkun
AU - Zhu, Min
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10/15
Y1 - 2022/10/15
N2 - Efficient and trustable food delivery systems have a great impact on our daily life. Considering environmental protection, Electric Cold-chain Vehicle (ECV) has been adopted to support the food delivery system in urban area. However, the drivers of ECV has the motivation to power off the refrigerator for saving electricity, which would lead to the food safety issue. Driven by this, we proposed a novel blockchain-based Electric Cold-chain Delivery System (BECDS) and concentrated on the EV charging and scheduling problem in the distribution network. In terms of methodology innovation, the Dynamic charging and service schedule model (DCSSM) is proposed based on the multi-agent-based simulation. Meanwhile, Internet of Things (IOT) devices are used to monitor the environment data of food, which would be recorded in the blockchain. Furthermore, this paper carries out numerical experiments to verify the feasibility of this system via realistic data. Interestingly, the result shows that the new cold-chain delivery system could serve retailers more efficiently with zero emissions. Hence, this paper could broaden and defined a promising green and digital urban food delivery prototype in the future.
AB - Efficient and trustable food delivery systems have a great impact on our daily life. Considering environmental protection, Electric Cold-chain Vehicle (ECV) has been adopted to support the food delivery system in urban area. However, the drivers of ECV has the motivation to power off the refrigerator for saving electricity, which would lead to the food safety issue. Driven by this, we proposed a novel blockchain-based Electric Cold-chain Delivery System (BECDS) and concentrated on the EV charging and scheduling problem in the distribution network. In terms of methodology innovation, the Dynamic charging and service schedule model (DCSSM) is proposed based on the multi-agent-based simulation. Meanwhile, Internet of Things (IOT) devices are used to monitor the environment data of food, which would be recorded in the blockchain. Furthermore, this paper carries out numerical experiments to verify the feasibility of this system via realistic data. Interestingly, the result shows that the new cold-chain delivery system could serve retailers more efficiently with zero emissions. Hence, this paper could broaden and defined a promising green and digital urban food delivery prototype in the future.
KW - Blockchain
KW - Electric vehicle
KW - Food traceability
KW - Multi-agent simulation
KW - Vehicle schedule problem
UR - http://www.scopus.com/inward/record.url?scp=85134509418&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2022.124642
DO - 10.1016/j.energy.2022.124642
M3 - Article
AN - SCOPUS:85134509418
SN - 0360-5442
VL - 257
JO - Energy
JF - Energy
M1 - 124642
ER -
