Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6): 59-65.doi: 10.11896/jsjkx.191200165

• Databωe & Big Data & Data Science • Previous Articles     Next Articles

Application Mode and Challenges of Vehicular Big Data

GE Yu-ming1, HAN Qing-wen2, WANG Miao-qiong3, ZENG Ling-qiu2, LI Lu1   

  1. 1 Technology and Standards Research Institute,China Academy of Information and Communications Technology,Beijing 100191,China
    2 School of Microelectronics and Communication Engineering,Chongqing University,Chongqing,400030,China
    3 Cloud Computing and Big Data Research Institute,China Academy of Information and Communications Technology,Beijing 100191,China
  • Received:2019-11-26 Online:2020-06-15 Published:2020-06-10
  • About author:GE Yu-ming,born in 1985,Ph.D,senior engineer.His main research interests include connectivity,MEC,cybersecurity in the areas of connected and automated vehicles,and industrial internet.
    WANG Miao-qiong,born in 1991,postgraduate,Engineer.Her main research interests include big data infrastructure,DBMS and industrial applications of big data technology.
  • Supported by:
    This work was supported by the National Key R&D Program of China (2018YFB0105200)

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Abstract: With the technical evolution of connected vehicles,people-vehicle-road-cloud are all connected,and a large number of application services emerge which cover many parts such as manufacturing,connected vehicle products,vehicle service market and intelligenttravel service.The core of these applications is big data of vehicles.The effective utilization of vehicular big data may be an important breakthrough in the transformation and upgrading of automotive industry in the future.To promote the application of vehicular big data in connected vehicles,related works are reviewed in this paper.According to the application demands,this paperstarts from the connotation and architecture of vehicular big data,and analyzes the characteristic of data sources and corresponding applications,such as manufacturing,connected vehicle products and vehicle service market,etc.Then the key technologies of vehicular big data are discussed from four aspects,which are data collection,data processing and analysis,computing resource and privacy protection.Based on a comprehensive analysis fits development status of policy and technology,this paper anticipates the future application trend of vehicular big data.

Key words: Application, Architecture, Big data, Connected vehicles

CLC Number: 

  • U467.5+25
[1]China Academy of Information and Communications Technology.White Paper of Connected Vehicles[R].2019.
[2]GRULICH P M,ZUKUNFTO.Bringing Big Data into the Car:Does it Scale?[C]//2017 International Conference on Big Data Innovations and Applications.2017:9-16.
[3]BRAHIM M B,MENOUAR H.Optimizing V2X Data Collection and Storage for a Better Cost and Quality Trade-off[C]//2017 6th IEEE International Conference on Advanced Logistics and Transport.2017:7-12.
[4]LIU H,QIAO C L,ZHANG Y P,et al.Influence of connected vehicles on Automotive Industry[J].Shanghai Auto,2016(1):31-37.
[5]ZHU X L,ZHAO S,ZHANG L.Research on Data Integration of Automotive Industry Chain Driven by Big Data[J].Auto Industry Research,2016(1):4-11.
[6]CAI J B.Innovative Application Path of Vehicular Big Data under the Environment of Connected Vehicles[J].Automotive Electronics,2018(17):239-239.
[7]JOHANSON M,BELENKI S,JALMINGER J,et al.Big Automotive Data:Leveraging large volumes of data for knowledge-driven product development[C]// 2014 IEEE International Conference on Big Data.2014:736-741.
[8]ILLING B,WARWEG O.Achievable revenues for Electric vehicles according to current and future energy market conditions[C]//2016 13th International Conference on the European Ene-rgy Market.2016:1-5.
[9]ZHANG Q W,LI J L,SUN X H.Approaches of Big Data Innovative Application Based on the Internet of Vehicles[J].PackagingEngineering,2017(20):79-85.
[10]ZENG L,ZHANG K,HAN Q,et al.Research of Path Planning Model Based on Hotspots Evaluation[C]//2019 IEEE Intelligent Vehicles Symposium.2019:2429-2434.
[11]LIU F X,WANG Y Z,ZHU Q Q.Research on Business Model of Automotive Industry in Big Data Era[J].Telecom World,2015(18):244-245.
[12]BRAKATSOULAS S,PFOSER D,TRYFONA N.Practical data management techniques for vehicle tracking data[C]//21st International Conference on Data Engineering.2005:324-325.
[13]ZHANG H,ZHANG L,CHENG X,et al.A novel precision marketing model based on telecom big data analysis for luxury cars[C]//2016 16th International Symposium on Communications and Information Technologies.2016:307-311.
[14]TALEB I,SERHANI M A.Big Data Pre-Processing:Closing the Data Quality Enforcement Loop[C]//2017 IEEE International Congress on Big Data.2017:498-501.
[15]ZHAO Y,YANG Z,SONG C,et al.Vehicle dynamic modelbased integrated navigation system for land vehicles[C]//2018 25th Saint Petersburg International Conference on Integrated Navigation Systems.2018:1-4.
[16]ZENG L,HU X C,HAN Q W.Abnormal hotspots detection method based on region real-time congestion factor[C]//2016 IEEE 19th International Conference on Intelligent Transportation Systems.2016:749-753.
[17]ZHANG J,YUAN R,YAN D,et al.A Non-Cooperative Game Based Charging Power Dispatch in Electric Vehicle Charging Station and Charging Effect Analysis[C]//2018 2nd IEEE Conference on Energy Internet and Energy System Integration.2018:1-6.
[18]QAREBAGH A J,SABAHI F,NAZARPOUR D.Optimized Scheduling for Solving Position Allocation Problem in Electric Vehicle Charging Stations[C]//2019 27th Iranian Conference on Electrical Engineering (ICEE).2019:593-597.
[19]NOUR M,SAID S M,ALI A,et al.Smart Charging of Electric Vehicles According to Electricity Price[C]//2019 International Conference on Innovative Trends in Computer Engineering (ITCE).2019:432-437.
[20]KRASNER G,KATZ E.Automatic parking identification and vehicle guidance with road awarenes[C]//2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE).2016:1-5.
[21]BADER L,BÜRGER J C,MATZUTT R,et al.Smart Contract-Based Car Insurance Policies[C]//2018 IEEE Globecom Workshops (GC Wkshps).2018:1-7.
[22]YUN L B,YOON S Y,JOO B H.Development of insurance server system based on vehicle driving information[C]//2012 7th International Conference on Computing and Convergence Technology (ICCCT).2012:156-159.
[23]LAMBERTI F,GATTESCHI V,DEMARTINI C,et al.Blockchains Can Work for Car Insurance:Using Smart Contracts and Sensors to Provide On-Demand Coverage[J].IEEE Consumer Electronics Magazine,2018,7(4):72-81.
[24]ZHANG M,WO T,XIE T.A Platform Solution of Data-Quality Improvement for Internet-of-Vehicle Services[C]//2018 IEEE International Conference on Pervasive Computing and Communications (PerCom).2018:1-7.
[25]LUAN X,CHENG L,ZHOU Y,et al.Strategies of Car-Sharing Promotion in Real Market[C]//2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE).2018:159-163.
[26]LIANG J,LAN G H,ZHANG W W,et al.Study on Five Dimensional Quantitative Evaluation Method of Driving Active Service System by Vehicle Networking Environment[J].Journal of Chongqing University of Technology(Natural Science),2018,32(1):58-67.
[27]ZHAO Y,HOU J J,YU C L.Study and Application of Industrial Big Data in Production Management and Control[J].Computer Science,2019,46(S1):45-51.
[28]ABU A M,AL S M J,NASER S S A.The Role of Knowledge-Based Comput erized Management Information Systems in the AdministrativeDecision-Making Process[J].International Journal of Information Technology and Electrical Engineering,2017,6(2):1-9.
[29]THORNBURG D,SCHMOTZER J,THROOP M.SAE Technical Paper Series [SAE International WCX 17:SAE World Congress Experience-(APR.04,2017)] SAE Technical Paper Series-Vehicle Deep Data:A Case Study in Robust Scalable Data Collection[OL].https://xueshu.baidu.com/usercenter/paper/show?paperid=cd2483190f0093f8d8d03711a60644e5&site=xue-shu_se.
[30]WANG P,YU H,WANG L,et al.Development of a Novel Vehicle-Mounted Data Collection Terminal with Multisource Information Fusion for Connected Vehicles[C]// CICTP 2017.2018:544-553.
[31]JAN B,FARMAN H,KHAN M,et al.Designing a Smart Transportation System:An Internet of Things and Big Data Approach[J].IEEE Wireless Communications,2019,26(4):73-79.
[32]CHAQFEH M,MOHAMED N,JAWHAR I.Vehicular Cloud data collection for Intelligent Transportation Systems[C]// Smart Cloud Networks & Systems.IEEE,2017.
[33]JI C,SHAO Q,SUN J,et al.Device Data Ingestion for Industrial Big Data Platforms with a Case Study[J].Sensors,2016,16(3):279.
[34]ABIRAMI U,SRIDEVI S.Traffic flow prophecy with mapreduce job for big data driven[C]// Eighth International Confe-rence on Advanced Computing.IEEE,2017.
[35]IMT-2020(5G) C-V2X.MEC C-V2X White Paper [R].2019.
[36]WANG H,LI X,JI H,et al.Dynamic Offloading Scheduling cheme for MEC-enabled Vehicular Networks[C]// 2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops).IEEE,2018.
[37]ZHOU S,NETALKAR P P,CHANG Y,et al.The MEC-Based Architecture Design for Low-Latency and Fast Hand-Off Vehicular Networking[C]// IEEE Vehicular Technology Conference (VTC).IEEE,2018.
[38]XIE J D,JIA Y J,CHEN Z C,et al.Efficient Task Completion for Parallel Offloading in Vehicular Fog Computing[J].China Communications,2019,16(11):42-55.
[39]HUANG C M,CHIANG M S,DAO D T,et al.V2V Data Offloading for Cellular Network based on the Software Defined Network (SDN) inside Mobile Edge Computing (MEC) Architecture[J].IEEE Access,2018,6:17741-17755.
[40]ZENG L,ZHANG J,HAN Q,et al.A Bus-Oriented Mobile FCNs Infrastructure and Intra-Cluster BSM Transmission Mechanism[J].IEEE Access,2019,7:24308-24320.
[41]SHRIVASTVA K M P,RIZVI M A,SINGH S.Big Data Privacy Based on Differential Privacy a Hope for Big Data[C]//2014 International Conference on Computational Intelligence and Communication Networks.2014:776-781.
[42]NAWRATH T,FISCHER D,MARKSCHEFFEL B.Privacysensitive data in connected cars[C]// Internet Technology & Secured Transactions.IEEE,2017.
[43]ENDO T,NAWA K,KATO N,et al.Study on privacy setting acceptance of drivers for data utilization on connected cars[C]// 2016 14th Annual Conference on Privacy,Security and Trust (PST).IEEE,2016.
[44]KOCH A,ALTSCHAFFEL R,KILTZ S,et al.Exploring the Processing of Personal Data in Modern Vehicles－A Proposal of a Testbed for Explorative Research to Achieve Transparency for Privacy and Security[C]//2018 11th International Conference on IT Security Incident Management & IT Forensics (IMF).2018:15-26.
[45]XU H T.Research on Personal Data Protection of Automobile Consumers in Big Data Era[J].Journal of Hubei University of Automotive Technology,2018,32(1):72-76.
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