Forecasting method of trip generation for higher education zone based on model selection and integration
Article Text (Baidu Translation)
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摘要: 为了提高高教园区出行生成预测数据的可靠性, 提出了一种基于模型优选及融合的出行生成预测方法。根据选取的模型评价指标, 借助ELECTRE方法对区域出行产生模型进行优选, 利用证据理论方法, 对优选模型的权重进行标定, 最后借助标定后的权重对区域交通生成量进行数据融合预测, 并与实际结果进行了对比。分析结果表明: 多模型融合预测相对误差在10%以下, 预测结果与实际情况非常接近, 该预测方法有效。Abstract: To improve the forecasting data reliability of trip generation for higher education zone, a forecasting method of trip generation was presented based on model selection and model integration. According to the model's evaluation indices, the trip generation models of zone were optimally selected by using ELECTRE method. The weights of optimal selected models were demarcated by using D-S evidence theory. Based on the weights, the trip generation of higher education zone was forecasted by using data fusion, and the forecasting result was contrasted with actual result. Analysis result indicates that the relative error of multi-model integration forecast is below 10%, and the forecast data is very close to actual situation, so the method is effective.
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Key words:
- traffic forecast /
- model selection /
- D-S evidence theory /
- model integration /
- trip generation forecast
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表 1 决策矩阵
Table 1. Decision-making matrix
表 2 计算结果
Table 2. Calculation result
表 3 模型优选
Table 3. Model selection
表 4 单一模型的权重
Table 4. Weights of single modle
表 5 融合预测结果
Table 5. Integration forecasting result
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[1] 徐从富, 耿卫东, 潘云鹤. 面向数据融合的DS方法综述[J]. 电子学报, 2001, 29(3): 393-396. doi: 10.3321/j.issn:0372-2112.2001.03.027XU Cong-fu, GENG Wei-dong, PAN Yun-he. Review of Dempster-Shafer method for data fusion[J]. Acta Electronica Sinica, 2001, 29(3): 393-396. (in Chinese) doi: 10.3321/j.issn:0372-2112.2001.03.027 [2] 徐毅, 金德琨, 敬忠良. 数据融合研究的回顾与展望[J]. 信息与控制, 2002, 31(3): 250-255. doi: 10.3969/j.issn.1002-0411.2002.03.012XU Yi, JIN De-kun, JING Zhong-liang. Status and development of data fusion[J]. Information and Control, 2002, 31(3): 250-255. (in Chinese) doi: 10.3969/j.issn.1002-0411.2002.03.012 [3] 周忠军, 张尊沛, 易杰忠, 等. 基于相关分析的一元非线性回归模型优选方法探讨[J]. 中国农学通报, 2008, 24(9): 132-136. https://www.cnki.com.cn/Article/CJFDTOTAL-ZNTB200809032.htmZHOU Zhong-jun, ZHANG Zun-pei, YI Jie-zhong, et al. Study on optimal selection method of the unitary nonlinear regression model based on correlation analysis[J]. Chinese Agricultural Science Bulletin, 2008, 24(9): 132-136. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZNTB200809032.htm [4] 谢煜, 张智光. 林业经济预测模型库系统的设计与多模型组合研究[J]. 林业经济问题, 2006, 26(5): 397-400, 460. doi: 10.3969/j.issn.1005-9709.2006.05.004XIE Yu, ZHANG Zhi-guang. Design for the forecasting model base system of forestry economy and research for combining models[J]. Problems of Forestry Economics, 2006, 26(5): 397-400, 460. (in Chinese) doi: 10.3969/j.issn.1005-9709.2006.05.004 [5] 曾成, 赵保军, 何佩琨. 不完备识别框架下的证据组合方法[J]. 电子与信息学报, 2005, 27(7): 1043-1046. https://www.cnki.com.cn/Article/CJFDTOTAL-DZYX200507009.htmZENG Cheng, ZHAO Bao-jun, HE Pei-kun. The combination of evidences in an incomplete frame of discernment[J]. Journal of Electronics & Information Technology, 2005, 27(7): 1043-1046. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DZYX200507009.htm [6] 石飞, 王炜, 陆建. 居民出行生成预测方法的归纳和创新[J]. 城市交通, 2005, 3(1): 43-46. https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT200501012.htmSHI Fei, WANG Wei, LU Jian. Improvement and conclusion about resident trip generation[J]. Urban Transport of China, 2005, 3(1): 43-46. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT200501012.htm [7] 金安. LOGIT模型参数估计方法研究[J]. 交通运输系统工程与信息, 2004, 4(1): 71-75. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT200401014.htmJIN An. On methodology of parameter estimation in LOGIT model[J]. Journal of Transportation Systems Engineering and Information Technology, 2004, 4(1): 71-75. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT200401014.htm [8] 江晖. 工程招标决策方法及风险管理[D]. 武汉: 武汉水利电力大学, 2000.JIANG Hui. The project of bidding decision-making methods and risk management[D]. Wuhan: Wuhan University of Hydraulic and Electrical Engineering, 2000. (in Chinese) [9] 彭跃春. 飞机全寿命费用预测参数模型系研究[D]. 西安: 西北工业大学, 2002.PENG Yue-chun. Research on parameters of the aircraft life cycle cost prediction model[D]. Xi'an: Northwestern Polytechnical University, 2002. (in Chinese) [10] 吴蔚, 王道席. 主/客观证据融合模型在洪水预测研究中的应用[J]. 计算机工程与应用, 2006, 42(12): 197-199, 216. https://www.cnki.com.cn/Article/CJFDTOTAL-JSGG200612057.htmWU Wei, WANG Dao-xi. Application of subjective and objective evidences fusion model in study of flood prediction[J]. Computer Engineering and Applications, 2006, 42(12): 197-199, 216. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSGG200612057.htm [11] 曾鸣, 冯义, 刘达, 等. 基于证据理论的多模型组合电价预测[J]. 中国电机工程学报, 2008, 28(16): 84-89. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDC200816016.htmZENG Ming, FENG Yi, LIU Da, et al. Electricity price forecasting based on multi-models combined by evidential theory[J]. Proceedings of the CSEE, 2008, 28(16): 84-89. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDC200816016.htm -
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