| 基于空间关联度的高铁综合客运 枢纽客流参数预测算法 |
| |
| 引用本文： | 谢征宇,贾利民,秦勇,王力.基于空间关联度的高铁综合客运 枢纽客流参数预测算法[J].北京理工大学学报,2012(S1):76-79. |
| |
| 作者姓名： | 谢征宇 贾利民 秦勇 王力 |
| |
| 作者单位： | 北京交通大学轨道交通控制与安全国家重点实验室, 北京 100044;北京交通大学交通运输学院, 北京 100044;北京交通大学轨道交通控制与安全国家重点实验室, 北京 100044;北京交通大学交通运输学院, 北京 100044;北京交通大学轨道交通控制与安全国家重点实验室, 北京 100044;北京交通大学交通运输学院, 北京 100044;北京交通大学交通运输学院, 北京 100044 |
| |
| 基金项目： | 国家科技支撑计划项目(2009BAG12A10);国家部委重点课题资助项目(2012X013-A) |
| |
| 摘 要： | 提出了基于空间关联度的高铁客运枢纽客流参数预测算法. 通过对高铁综合客运枢纽瓶颈点及其关联点之间的关联度进行研究,利用瓶颈点和关联点的实时客流参数信息,实现对瓶颈点客流参数信息的短时预测. 实验证明该算法在高铁综合客运枢纽客流安全预警实际应用中,能够快速反映客流扰动,具有较强的抗干扰能力,为高铁综合客运枢纽安全预警提供支持.
|
| 关 键 词： | 空间关联度 客流参数预测 高铁综合客运枢纽 |
| 收稿时间： | 2012/9/28 0:00:00 |
Passenger Flow Parameter Prediction Algorithm of Comprehensive Passenger Transport Hub Based on Spatial Correlation Degree |
| |
| XIE Zheng-yu,JIA Li-min,QIN Yong and WANG Li.Passenger Flow Parameter Prediction Algorithm of Comprehensive Passenger Transport Hub Based on Spatial Correlation Degree[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012(S1):76-79. |
| |
| Authors: | XIE Zheng-yu JIA Li-min QIN Yong and WANG Li |
| |
| Institution: | State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China |
| |
| Abstract: | An algorithm for predicting passenger flow parameter of comprehensive passenger transport hub was proposed. According to the study of spatial correlation degree between bottleneck and correlative points in comprehensive passenger transport hub, real passenger flow parameters of bottleneck and correlative points were used to achieve short-term prediction of passenger flow parameter in bottleneck. The results show that this algorithm can quickly respond to perturbation of passenger flow, and it has the capability of anti-interference in the passenger flow safety forewarning of high-speed railway comprehensive passenger transport hub. |
| |
| Keywords: | spatial correlation degree passenger flow parameter prediction comprehensive passenger transport hub |
|
| 点击此处可从《北京理工大学学报》浏览原始摘要信息 |
| 点击此处可从《北京理工大学学报》下载免费的PDF全文 |
|
