[1] Hu Qizhou, Deng Wei, Tan Minjia, Bian Lishuang, et al. Projection pursuit model of vehicle emission on air pollutionat intersections based on the improved bat algorithm [J]. Journal of Southeast University (English Edition), 2019, 35 (3): 389-392. [doi:10.3969/j.issn.1003-7985.2019.03.016]
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Projection pursuit model of vehicle emission on air pollutionat intersections based on the improved bat algorithm(
)
基于改进蝙蝠算法的交叉口车辆排放对空气污染的投影寻踪模型
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 35
- Issue:
- 2019 3
- Page:
- 389-392
- Research Field:
- Computer Science and Engineering
- Publishing date:
- 2019-09-30
Info
- Title:
- Projection pursuit model of vehicle emission on air pollutionat intersections based on the improved bat algorithm
- 基于改进蝙蝠算法的交叉口车辆排放对空气污染的投影寻踪模型
- Author(s):
- Hu Qizhou1; Deng Wei2; Tan Minjia1; Bian Lishuang1
-
1 School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2 School of Transportation, Southeast University, Nanjing 210096, China
- Keywords:
- intersection; vehicle emission; pollutants; projection pursuit; bat algorithm
- PACS:
- TP311
- DOI:
- 10.3969/j.issn.1003-7985.2019.03.016
- Abstract:
- The projection pursuit model is used to study the assessment of air pollution caused by vehicle emissions at intersections. Based on the analysis of the characteristics and regularities of vehicle emissions at intersections, a vehicle emission model based on projection pursuit is established, and the bat algorithm is used to solve the optimization function. The research results show that the projection pursuit model can not only measure the air pollution of vehicle emissions at intersections, but also effectively evaluate the level of vehicle exhaust emissions at intersections. Taking the air pollution caused by vehicle emissions at intersections as the research object and considering the influence factors of vehicle emissions on air pollution comprehensively, the evaluation index system of vehicle emissions at intersections on air pollution is constructed. Based on large data analysis, a prediction model of air pollution caused by vehicle emissions at intersections is constructed, and an improved bat algorithm is used to realize the assessment process. The application results show that the prediction model of vehicle emissions at intersections can define the degree of air pollution caused by vehicle emissions, and it has good guiding significance and practical value for solving the problem of air pollution caused by vehicle emissions.
- 利用投影寻踪模型研究交叉口车辆排放对大气污染评估的监测问题.在分析交叉口机动车排放特性和规律基础上, 建立基于投影寻踪的机动车排放模型, 并利用蝙蝠算法进行优化函数求解研究.研究结果表明投影寻踪模型不但能够测定车辆排放对交叉口大气污染问题, 而且能有效评估交叉口汽车尾气排放水平.以交叉口车辆排放对大气污染为研究对象, 在综合考虑车辆排放对大气污染影响因素的基础上, 构建了交叉口车辆排放对大气污染的评估指标体系.通过大数据分析, 构建了交叉口车辆排放对大气污染的预测模型, 并利用改进的蝙蝠算法实现评估过程.应用结果表明, 交叉口车辆排放的预测模型能界定车辆排放对大气的污染程度, 而且对解决车辆排放对大气污染有较好的指导意义和实用价值.
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Memo
- Memo:
-
Biography: Hu Qizhou(1975—), male, doctor, associate professor, qizhouhu@163.com.
Foundation items: The National Natural Science Foundation of China(No.51178157), High-Level Project of the Top Six Talents in Jiangsu Province(No.JXQC-021), Key Science and Technology Program in Henan Province(No.182102310004), the Humanities and Social Science Research Programs Foundation of the Ministry of Education of China(No.18YJAZH028).
Citation: Hu Qizhou, Deng Wei, Tan Minjia, et al. Projection pursuit model of vehicle emission on air pollution at intersections based on the improved bat algorithm.[J].Journal of Southeast University(English Edition), 2019, 35(3):389-392.DOI:10.3969/j.issn.1003-7985.2019.03.016.