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Smart city article details
| Title | Optimization Of Dynamic Collection Route Of Smart Garbage Bins Considering Negative Environmental Effects; [考虑环境负效应的智能垃圾桶动态收运路径优化问题] |
|---|---|
| ID_Doc | 40625 |
| Authors | Yan F.; Deng D.-P.; Chai F.-L.; Ma Y.-F. |
| Year | 2023 |
| Published | Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 23, 1 |
| DOI | http://dx.doi.org/10.16097/j.cnki.1009-6744.2023.01.028 |
| Abstract | With the smart city construction advancement, the smart garbage bins, which are the basic supporting facilities of the smart city, are becoming more and more popular. The fill-level sensors inside the smart garbage bins can transmit the real-time waste data which is likely to be used in reducing the negative environmental effects and inefficient collection caused by the randomness of urban domestic garbage generation. This paper proposes an optimization strategy for the dynamic municipal waste collection with smart garbage bins. Considering the negative environmental effects caused by the waste overflow, the study develops a pre-optimization model and a dynamic optimization model of waste collection vehicle routing problem to minimize the total cost of collection and transportation. Then, the particle swarm algorithm is used to pre-plan the collection routes. A strategy combining periodicity and continuity is designed and heuristic rule with continuity triggering are constructed based on the real-time data transmitted by the smart bins. The standard and simulated arithmetic experiments show that the strategy combined periodic and continuous optimization exceeds the periodic optimization strategy on total cost, penalty cost and distance metrics, and especially in penalty cost. This research is helpful in reducing the negative environmental effects caused by the improper or delayed collection, and provides a theoretical support for related enterprises in making reasonable and efficient waste collection plan. © 2023 Science Press. All rights reserved. |
| Author Keywords | dynamic vehicle routing problem; logistics engineering; particle swarm algorithm; periodicity and continuity optimization strategy; smart garbage bins |
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