Key Techniques of Intelligent Data Processing and Application of MITS

doi:10.3969/j.issn.1674-0696.2014.03.28

Journal of Chongqing Jiaotong University(Natural Science) ›› 2014, Vol. 33 ›› Issue (3): 129-132.DOI: 10.3969/j.issn.1674-0696.2014.03.28

Previous Articles Next Articles

Key Techniques of Intelligent Data Processing and Application of MITS

Li Zheng ¹, Lu Baichuan² , Zhi Pengfei¹ , Zhang Xinyu¹

1.Gansu Provincial Transportation Research Institute Co.Ltd., Lanzhou 730050 , Gansu , China; 2.School of Traffic & Transportation , Chongqing Jiaotong University , Chongqing 400074 , China

Received:2013-03-22 Revised:2014-03-07 Online:2014-06-15 Published:2015-01-22

MITS 中智能数据处理与应用关键技术研究

李政¹，陆百川² ，支鹏飞¹，张新雨¹

1.甘肃省交通科学研究院有限公司，甘肃兰州 730050;2.重庆交通大学交通运输学院，重庆 400074

作者简介:李政(1987—)，男，宁夏回原人，硕士，主要从交通信息士程及控制方面的研究。E-mail:422506061@qq.com
基金资助:
交通运输部科技项目(2008319814060)

Abstract

Abstract: Focusing on the characteristics of Marine Intelligent Transport Systems (MITS) and combing with the success cases of land ITS applications , the basic structure of Marine Intelligent Transport Simulation Systems (MITSS) was designed. The methods including data mining , wavelet multi -scale decomposition and reconstruction , neural networks , Kalman filtering , as well as genetic algorithms were used to study the data preprocessing , data fusion and prediction in MITS. It is indicated that the proposed technique is good for the management and security of the shipping , which can also reduce congestion , increase traffic mobility , reduce the shipping impact on environment , and improve waterway capacity and traffic efficiency. The technique provides technical support for further development of the system

Key words: traffic and transportation engineering, marine intelligent transport systems, safety, data processing

摘要： 针对航运智能运输系统(MITS)的特点，结合陆上ITS应用的成功案例，设计了航运智能运输仿真系统 (MITSS)基本架构;利用数据挖掘、小波多尺度分解与重构、神经网络、Kalman7m披以及遗传算法等技术，研究了航运智能运输系统中数据预处理、数据融合及预测技术。研究表明:该技术可提高航运的管理和安全水平、减少阻塞、增加交通的机动性、减少船舶运输对环境的影响、提高航道通行能力和交通效率的目的，为进一步的系统开发提供技术支持。

关键词: 交通运输工程, 航运智能运输系统, 安全, 数据处理

CLC Number:

U675.7

Li Zheng , Lu Baichuan , Zhi Pengfei , Zhang Xinyu. Key Techniques of Intelligent Data Processing and Application of MITS[J]. Journal of Chongqing Jiaotong University(Natural Science), 2014, 33(3): 129-132.

李政，陆百川，支鹏飞，张新雨. MITS 中智能数据处理与应用关键技术研究[J]. 重庆交通大学学报（自然科学版）, 2014, 33(3): 129-132.

References

[1] 李政,陆百川.船舶智能运输管理系统的设计与开发[J] .中国智能交通,2010(4):74-77.
Li Zheng,Lu Baichuan.The design and development on ship intelligent transportation management system[J] .China Intelligent Transportation,2010(4):74-77.
[2] 张德丰.MATLAB神经网络应用设计[M] .北京:机械工业出版社,2009:20-53.
Zhang Defeng.MATLAB Neural Network Application Design[M] .Beijing:China Machine Press,2009:20-53.
[3] 黄友锐.智能优化算法及其应用[M] .北京:国防工业出版社,2008:1-32.
Huang Yourui.Intelligent Optimization Algorithm Application[M] .Beijing:National Defense Industry Press,2008:1-32.
[4] 李政,陆百川,谭伟,等.基于小波和逻辑法的多目标跟踪数据预处理[J] .重庆交通大学学报:自然科学版,2011,30(1):171-175.
Li Zheng,Lu Baichuan,Tan Wei,et al.Multi-target tracking data preprocessing based on wavelet and logic method[J] .Journal of Chongqing Jiaotong University:Natural Science,2011,30(1):171-175.
[5] Lu Baichuan,Li Zheng.Application of wavelet,logic and neural network in multi-target tracking data processing[C] //Proceedings of the 2011 TMEE International Conference on Transportation and Mechanical&Electrical Engineering.Changchun,China:Jilin University,2011:2544-2547.
[6] 许晓剑,田康生,范锦勇,等.基于极大似然估计的最优航迹关联算法[J] .空军雷达学院学报,2010,24(1):22-24.
Xu Xiaojian,Tian Kangsheng,Fan Jinyong,et al.Algorithm of optimal track association based on maximum likelihood estimation[J] .Journal of Air Force Radar Academy,2010,24(1):22-24.
[7] 谭伟,陆百川,李政,等.基于遗传粒子群算法的船舶航迹融合研究[J] .重庆交通大学学报:自然科学版,2010,29(5):828-831.
Tan Wei,Lu Baichuan,Li Zheng,et al.Track fusion based on particle swarm optimization algorithm with genetic operator[J] .Journal of Chongqing Jiaotong University:Natural Science,2010,29(5):828-831.
[8] 雷秀娟,史忠科,孙瑰琪.基于遗传算子的粒子群优化算法的比较分析[J] .计算机工程与应用,2008,44(14):65-66.
Lei Xiujuan,Shi Zhongke,Sun Guiqi.Comparison and analysis of particle swarm optimization method based on genetic operator[J] .Computer Engineering and Applications,2008,44(14):65-66.
[9] 飞思科技产品研发中心.MATLAB 6.5辅助小波分析与应用[M] .北京:电子工业出版社,2003:1-85.
Feisi Technology R&D Center.MATLAB 6.5 Auxiliary Wavelet Analysis and Application[M] .Beijing:Publishing House of Electronic Industry,2003:1-85.

[1]	LI Jing1,2, ZHONG Peng1, LYU Jing1,2. Interaction between Land Port and Urban Economy Based on System Dynamics [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 1-7.
[2]	LI Jun1, ZHU Yunsheng2. Application of Comprehensive Evaluation of Triangular Fuzzy Analytic Hierarchy Process in Ship Safety Assessment of the Yellow River Reservoir Area [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 16-22.
[3]	DENG Ping1,2, SONG Lian1, HUANG Chengfeng1,2. Estimation of Congestion Costs for Lockage Ship in Three Gorges Dam Area and Its Impact on the Total Value of Goods in the Dam Area [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 23-30.
[4]	CHENG Qian1, ZHU Xiaoning2, LU Wansheng3. Travel Mode Choice Behavior Model of Intercity Passengers with Medium and Long Haul — A Case Study of High-Speed Railway and Air Transport [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 39-45.
[5]	LIAN Qicai1, LI Han1, SHI Xiaolin1, YAN Zhangcun2. Autonomous Driving Choice Behavior Based on Panel Data Mixed Logit Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 46-52.
[6]	QI Chunhua, WANG Xiaonan, ZHU Shoulin, LI Hangtian. Traffic Engineering Facility Information Threshold Based on Drivers Visual Area of Interest [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 53-60.
[7]	LI Shengchao, WU Yue, BAI Xuemeng, WANG Yue, ZHANG Hai. Violation Alarm of Dangerous Goods Vehicle Based on TOPSIS and Gray Correlation [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 61-66.
[8]	YANG Qingfang1,2,3, WANG Liqiang2, ZHENG Lili1,2,3, MENG Fanyun2. Traffic Emission and Fuel Consumption Model of Roundabout [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 67-73.
[9]	ZHANG Hua1, ZHANG Zhengqi2, CHENG Gao3,4, TIAN Boke1. Rational Distance of Pile Foundation in Precipitous Cliff Section of Loess Area [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 93-98.
[10]	BAI Han, ZHANG Kangyu, WANG Xiuguang, YAN Xiang, FENG Qilong. Traffic Capacity of Urban Intersection under the Conditions of Mixed Release of Traffic Flow [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 12-20.
[11]	ZHANG Chongyang, HUANG Shuping. Seismic Reliability of Road Network and Route Selection of Post-Earthquake Transportation [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 43-51.
[12]	GUO Wenwen1, JI Mingjun2, ZHU Huiling3, ZHOU Wenjie2. Optimization Model of Yard Crane Scheduling in a Container Terminal [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 66-72.
[13]	LI Guangru, ZHANG Xin, ZHU Qinghui. Prediction Method of Port Throughput with Improved Elman Neural Network Based on Adaboost [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 1-5.
[14]	SUN Yuanguang1, JIAN Min2, JIN Hua2, CHEN Shaokuan2. Calculation and Simulation of Delay during Train Failure Rescue of Urban Rail Transit [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 6-12.
[15]	WANG Honggang1,2, BAI Peng1, ZOU Qingru2, ZHAO Ling1. Optimization Model of Track Application for Metro Depots [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 13-18.

Key Techniques of Intelligent Data Processing and Application of MITS

MITS 中智能数据处理与应用关键技术研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics