[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. |