Multi-agent Simulation for Online Fresh Food Autonomous Delivery

Authors

Miaojia Lu, Tongji University, Shanghai 201804, China;Follow
Chengyuan Huang, Tongji University, Shanghai 201804, China;
Jing Teng, Tongji University, Shanghai 201804, China;Follow

Abstract

Abstract: Autonomous delivery can solve the last-mile delivery problems of low efficiency, high manual cost, and potential safety hazard. The autonomous delivery of the online fresh food in urban communities is discussed and a data-driven agent-based platform with the actual spatial-temporal demand is built. Three kinds of agents including the autonomous vehicles, customers, and distribution center and the simulation environment based on the actual road network are construct. To achieve the objectives of the minimum total operating costs and maximum customer satisfaction, the different static and dynamic order dispatch strategies and the route planning strategies with the principle of the closest and most urgent are designed and tested. Based on the real order data collected from a fresh food e-commerce platform in Shanghai, the scenario simulation and sensitivity analysis are conducted based on the different strategies to optimize the transport capacity resource of autonomous vehicle.

Recommended Citation

Lu, Miaojia; Huang, Chengyuan; and Teng, Jing (2022) "Multi-agent Simulation for Online Fresh Food Autonomous Delivery," Journal of System Simulation: Vol. 34: Iss. 6, Article 2.
DOI: 10.16182/j.issn1004731x.joss.20-1050
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss6/2

First Page

1185

Revised Date

2021-04-28

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-1050

Last Page

1195

CLC

TP391

Recommended Citation

Miaojia Lu, Chengyuan Huang, Jing Teng. Multi-agent Simulation for Online Fresh Food Autonomous Delivery[J]. Journal of System Simulation, 2022, 34(6): 1185-1195.

Corresponding Author

Jing Teng,tengjing@tongji.edu.cn

DOI

10.16182/j.issn1004731x.joss.20-1050