Journal of Transportation Systems Engineering and Information Technology ›› 2015, Vol. 15 ›› Issue (5): 45-52.
Previous Articles Next Articles
LU Hua-pu,SUN Zhi-yuan,QUWen-cong
Received:
2015-02-04
Revised:
2015-08-30
Online:
2015-10-25
Published:
2015-10-28
陆化普*,孙智源,屈闻聪
作者简介:
陆化普(1957-),男,辽宁铁岭人,教授.
基金资助:
“十二五”国家科技支撑计划(2014BAG01B04-03);国家自然科学基金(51408023);清华大学苏州汽车研究院(吴江)返校经费课题(2015WJ-B-02).
CLC Number:
LU Hua-pu,SUN Zhi-yuan,QUWen-cong. Big Data and Its Applications in Urban Intelligent Transportation System[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(5): 45-52.
陆化普,孙智源,屈闻聪. 大数据及其在城市智能交通系统中的应用综述[J]. 交通运输系统工程与信息, 2015, 15(5): 45-52.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.tseit.org.cn/EN/abstract/abstract19061.shtml
[1] Gore A. The digital earth: Understanding our planet in the 21st century[J]. Photogrammetric Engineering and Remote Sensing, 1999, 65(5): 528. [2] Palmisano S. A smarter planet: The next leadership agenda[R]. New York: IBM, 2008. [3] Department for Culture, Media and Sport, Department for Business, Innovation and Skills. Digital Britain final report[R]. London: Office of Public Sector Information, 2009. [4] 金江军. 韩国城市进入U-CITY时代[J]. 信息化建设, 2009(10): 9-10. [JIN J J. Korea city to the era of UCITY[ J]. Informatization Construction, 2009(10): 9-10.] [5] 郭慧鹏. 智慧城市:应用日渐丰富多彩[N]. 中国信息化周报, 2013-12-30028. [GUO H P. Smart city: applications becoming increasingly colorful[N]. China Information Weekly, 2013-12-30028.] [6] Frankel F, Reid R. Big data: Distilling meaning from data[J]. Nature, 2008, 455(7209): 30-30. [7] Los W, Wood J. Dealing with data: Upgrading infrastructure[J]. Science, 2011, 331(6024): 1515-1516. [8] 李德仁, 姚远, 邵振峰. 智慧城市中的大数据[J]. 武汉大学学报(信息科学版), 2014, 39(6): 631-640. [LI D R, YAO Y, SHAO Z F. Big data in smart city[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640.] [9] 于渊, 雷利军, 景泽涛, 等. 北斗卫星导航在国内智能交通等领域的应用分析[J]. 工程研究——跨学科视野中的工程, 2014, 6(1): 86-91. [YU Y, LEI L J, JING Z T, et al. Brief probe into the status and trend of compass navigation’ s application in domestic intelligent transportation systems[J]. Journal of Engineering Studies, 2014, 6(1): 86-91.] [10] Ahas R, Aasa A, Silm S, et al. Daily rhythms of suburban commuters’movements in the tallinn metropolitan area: Case study with mobile positioning data[J]. Transportation Research Part C: Emerging Technologies, 2010, 18(1): 45-54. [11] Gentili M, Mirchandani P. Locating sensors on traffic networks: Models, challenges and research opportunities[J]. Transportation Research Part C: Emerging Technologies, 2012, 24: 227-255. [12] Bachmann C, Abdulhai B, Roorda M J, et al. A comparative assessment of multi-sensor data fusion techniques for freeway traffic speed estimation using microsimulation modeling[J]. Transportation Research Part C: Emerging Technologies, 2013, 26: 33-48. [13] 何非, 何克清. 大数据及其科学问题与方法的探讨[J]. 武汉大学学报(理学版), 2014, 60(1): 1-12. [HE F, HE K Q. The scientific problems and methodology of big data[J]. Journal of Wuhan University (Natural Science Edition), 2014, 60(1): 1-12.] [14] Zikopoupos P C, Eaton C, de Roos D, et al. Understanding and streaming data[R]. McGraw- Hill Companies, 2012. [15] Chen M, Mao S W, Zhang Y, et al. Big data related technologies, challenges and future prospects series[M]. Springer Briefs in Computer Science, 2014. [16] 李清泉, 李德仁. 大数据GIS[J]. 武汉大学学报(信息科学版), 2014, 39(6): 641-644, 666. [LI Q Q, LI D R. Big data GIS[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 641-644, 666.] [17] Li R M, Ma H L, Lu H P, et al. Research and application of the Beijing road traffic prediction system[J]. Discrete Dynamics in Nature and Society, 2014, 316032. [18] 李嘉, 刘春华, 胡赛阳, 等. 基于交通数据融合技术的行程时间预测模型[J]. 湖南大学学报(自然科学版), 2014, 41(1): 33-38. [LI J, LIU C H, HU S Y, et al. A travel time prediction model based on traffic data fusion technology[J]. Journal of Hunan University (Natural Sciences), 2014, 41(1): 33-38.] [19] 北京市公安局公安交通管理局, 清华大学, 北京交通大学, 等. 北京市科技计划课题任务书 (Z12110000031210) [R]. 北京: 北京市科学技术委员会, 2012. [Beijing Traffic Management Bureau, Tsinghua University, Beijing Jiaotong University, et al. Topics mission statement of beijing science and technology program (Z12110000031210) [R]. Beijing: Beijing Municipal Science and Technology Commission, 2012.] [20] Tao S, Corcoran J, Mateo-Babiano I, et al. Exploring bus rapid transit passenger travel behaviour using big data[J]. Applied Geography, 2014, 53: 90-104. [21] Sun J, Zhang C, Zhang L H, et al. Urban travel behavior analyses and route prediction based on floating car data[J]. Transportation Letters, 2014, 6 (3): 118-125. [22] Abdulazim T, Abdelgawad H, Habib K, et al. Using smartphones and sensor technologies to automate collection of travel data[J]. Transportation Research Board, 2013(2383): 44-52. [23] 冉斌. 手机数据在交通调查和交通规划中的应用[J]. 城市交通, 2013, 11(1): 72- 81. [RAN B. Use of cellphone data in travel survey and transportation planning[J]. Urban Transport of China, 2013, 11(1): 72- 81.] [24] 汪成亮, 张晨. 面向车联网的交通流参数检测[J]. 计算机工程与应用, 2012, 48(23): 212-218. [WANG C L, ZHANG C. Detection model of traffic flow parameters oriented internet of vehicles[J]. Computer Engineering and Applications, 2012, 48(23): 212-218.] [25] 段宗涛, 康军, 唐蕾, 等. 车联网大数据环境下的交通信息服务协同体系[J]. 长安大学学报(自然科学版). 2014, 34(2): 108-114. [DUAN Z T, KANG J, TANG L, et al. Traffic information service cooperation architecture based on vehicular network big data[J]. Journal of Chang’an University (Natural and Science Edition), 2014, 34(2): 108-114.] [26] Gonzalez MC, Hidalgo CA, Barabasi AL. Understanding individual human mobility patterns[J]. Nature, 2008, 453 (7196): 779-782. [27] Aguiléra V, Allio S, Benezech V, et al. Using cell phone data to measure quality of service and passenger flows of 51Paris transit system[J]. Transportation Research Part C, 2014, 43: 198-211. [28] Al Azri A, Chilamkurti N. Priority-based vehicle-toinfrastructure communication (PV2I) in UMTS[C]. 6th International Symposium on Wireless and Pervasive Computing, Hong Kong, 2011. [29] Sun X, Lu H P, Wu J. Bus detection based on sparse representation for transit signal priority[J]. Neurocomputing, 2013, 118: 1-9. [30] 廖律超, 蒋新华, 邹复民, 等. 基于交通视频的交通拥堵状态自动识别方法[J]. 公路交通科技, 2014, 31(1): 110-117. [LIAO L C, JIANG X H, ZOU F M, et al. An automatic recognition approach for traffic congestion states based on traffic video[J]. Journal of Highway and Transportation Research and Development, 2014, 31(1): 110-117.] [31] 公安部交通管理科学研究所. 公安交通集成指挥平台通信协议[S]. GA/T1049, 2014. [Institute of Traffic Management Research, Ministry of Public Security. Communication protocols of public security traffic integrated command platform[S]. GA/T1049, 2014.] [32] 王璐, 孟小峰. 位置大数据隐私保护研究综述[J]. 软件学报, 2014, 25(4): 693-712. [WANG L, MENG X F. Location privacy preservation in big data era: A survey[J]. Journal of Software, 2014, 25(4): 693-712.] [33] 刘智慧, 张泉灵. 大数据技术研究综述[J]. 浙江大学学报(工学版), 2014, 48(6): 957-972. [LIU Z H, ZHANG Q L. Research overview of big data technology[J]. Journal of Zhejiang University (Engineering Science), 2014, 48(6): 957-972.] [34] 钱哨, 张云鹏, 黄少波. 智能交通云: 基于云计算的智能交通系统[J]. 计算机与现代化, 2010, 11: 168-171. [QIAN S, ZHANG Y P, HUANG S B. Intelligent transport cloud: ITS based on cloud computing[J]. Computer and Modernization, 2010, 11: 168-171.] [35] 周云, 黄柯棣, 胡德文. 动态数据驱动应用系统的概念研究[J]. 系统仿真学报, 2009, 21(8): 2138- 2141. [ZHOU Y, HUANG K D, HU D W. Conceptual study on dynamic data driven application system[J]. Journal of System Simulation, 2009, 21(8): 2138-2141.] [36] Qu J G, Cui Y H, Zhou G C, et al. Application of multiple linear regression model in the performance analysis of traffic rules[J]. Journal of Chemical and Pharmaceutical Research, 2014, 6(3): 164-169. [37] Gao J W, Zhang Bin, Leng Z W, et al. Short-term traffic flow forecasting based on phase space reconstruction and optimized RBF neural network[J]. ICIC Express Letters, Part B: Applications, 2015, 6(1): 19-26. [38] Ding L, Yu F, Peng S, et al. A classification algorithm for network traffic based on improved support vector machine[J]. Journal of Computers (Finland), 2013, 8(4): 1090-1096. [39] Chan K Y, Dillon T S. On- road sensor configuration design for traffic flow prediction using fuzzy neural networks and taguchi method[J]. IEEE Transactions on Instrumentation and Measurement, 2013, 62(1): 50-59. [40] El-Tantawy S, Abdulhai B, Abdelgawad H. Design of reinforcement learning parameters for seamless application of adaptive traffic signal control[J]. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2014, 18(3): 227-245. |
[1] | GUO Lie , XU Lin-li, QIN Zeng-ke, WANG Xu. Analysis and Overview of Influencing Factors on Autonomous Driving Takeover [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(2): 72-90. |
[2] | XU Meng , LIU Tao , ZHONG Shao-peng , JIANG Yu. Urban Smart Public Transport Studies: A Review and Prospect [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(2): 91-108. |
[3] | CHENG Jun, ZHANG Li-yan, CHEN Qi-hong. A Map Aided Visual-inertial Fusion Localization Method for Autonomous Vehicles [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(2): 117-126. |
[4] | WANG Guo-dong , LIU Li , MENG Yu , MA Zhi-ping, ZHENG Hao-qing , GU Qing, BAI Guo-xing. Integrated Control of Trajectory Planning and Tracking for Vehicle Collision Avoidance [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(2): 127-136. |
[5] | MA Dong-fang , CHEN Xi , WU Xiao-dong , JIN Sheng. Mixed-coordinated Decision-making Method for Arterial Signals Based on Reinforcement Learning [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(2): 145-153. |
[6] | TIAN Hui-juan, LIU Jia-wei, ZHAI Jia-hao, DENG Lin-lin. Video-based Vehicle Speed Measurement Method Using Multiple Intrusion Lines [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(1): 49-56. |
[7] | JIA Yan-feng, QU Da-yi, ZHAO Zi-xu, WANG Tao, SONG Hui. Car-following Decision-making and Model for Connected and Autonomous Vehicles Based on Safety Potential Field [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(1): 85-97. |
[8] | ZHAO Jian-dong , CHEN Qin , JIAO Yan-li , ZHANG Kai-li , HAN Ming-min. Recognition of Abnormal Driving Behavior of Key Commercial Vehicles [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(1): 282-291. |
[9] | HU Jie, HE Chen, ZHU Xue-ling, YANG Guang-yu. Predicting Remaining Useful Life of Electric Vehicle Battery Based on Real Vehicle Data [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(1): 292-300. |
[10] | XU Dong-wei , PENG Hang , SHANG Xue-tian , WEI Chen-chen , YANG Yan-fang . Road Network Data Repair Based on Graph Autoencoder-generative Adversarial Network [J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(6): 33-41. |
[11] | YOU Feng , LIANG Jian-zhong , CAO Shui-jin, XIAO Zhi-hao, WU Zhen-jiang , WANG Hai-wei. Dense Pedestrian Crowd Trajectory Extraction and Motion Semantic Information Perception Based on Multi-object Tracking [J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(6): 42-54. |
[12] | WANG Fu-jian, YU Jia-hao , ZHAO Jin-huan , MEI Zhen-yu. Short-term Public Traffic Passenger Volume Forecasting Method Based on Real-time Relevance of Stations [J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(6): 131-144. |
[13] | ZHANG Yi , YAO Dan-ya , LI Li , PEI Hua-xin , YAN Song , GE Jing-wei. Technologies and Applications for Intelligent Vehicle-infrastructure Cooperation Systems [J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(5): 40-51. |
[14] | LONG Jian-cheng, GUO Jia-qi. Review and Prospect of Dynamic Traffic Assignment Research [J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(5): 125-138. |
[15] | YU Zu-jun, ZHANG Chen-guang , GUO Bao-qing. Vehicle Simultaneous Localization and Mapping Algorithm with Lidar-camera Fusion [J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(4): 72-81. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||