Path decision-making of regional agricultural products distribution with fusion of PM2.5 emissions and transportation distance(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2017年02期
- Page:
- 99-106
- Research Field:
- 交通工程
- Publishing date:
Info
- Title:
- Path decision-making of regional agricultural products distribution with fusion of PM2.5 emissions and transportation distance
- Author(s):
- ZHANG Xun-xun; XU Hong-ke; YU Jia-qing
- 1. School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, Shaanxi, China; 2. Research Institute of Highway Ministry of Transport, Beijing 100088, China
- Keywords:
- traffic engineering; agricultural product distribution; path decision-making; PM2.5 emission; transportation distance; customer’s need; evolutionary algorithm
- PACS:
- U492.3
- DOI:
- -
- Abstract:
- With the establishment of mandatory carbon emissions control targets, it has become an urgent objective to implement the emissions reduction of regional agricultural products distribution through the path optimization. To achieve the emissions reduction of regional agricultural products distribution, a bi-object path decision-making method of regional agricultural products distribution was proposed with the fusion of least PM2.5 emissions and transportation distance. Firstly, a path decision-making model of PM2.5 emissions and transportation distance was constructed. To solve the model, a similarity-based selection bi-objective evolutionary algorithm was put forward, which could not only avoid the premature phenomenon of the traditional evolutionary algorithm, but also could improve the diversity of population. Meanwhile, for the urgent need of some customers during the distribution process, a bi-object path decision-making model based on the requirements of customers was established by introducing virtual task points. Finally, the proposed algorithm was verified by test example, and a satisfaction index was proposed to assess the superiority of the algorithm. The results show that the proposed algorithm can not only reduce PM2.5 emissions but also shorten the transportation distance. Compared with the traditional ant colony algorithm and evolutionary algorithm, satisfaction indexes of the proposed algorithm increase by about 2.3% and 1.4%, respectively. For the bi-object path decision-making with the urgent need of some customers, PM2.5 emissions and transportation distance increase, but the demands of customers are met in time. What’s more, satisfaction indexes of the proposed algorithm increase by about 1.9% and 2.7%, respectively. In a word, the proposed method can reduce PM2.5 emission and transport distance, and can provide valuable suggestions to vehicle scheduling of the practical agricultural products distribution.
Last Update: 2017-04-07