Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications

Abstract Research in Big Data and analytics offers tremendous opportunities to utilize evidence in making decisions in many application domains. To what extent can the paradigms of Big Data and analytics be used in the domain of transport? This article reports on an outcome of a systematic review of published articles in the last five years that discuss Big Data concepts and applications in the transportation domain. The goal is to explore and understand the current research, opportunities, and challenges relating to the utilization of Big Data and analytics in transportation. The review shows the potential of Big Data and analytics to garner insights and improve transportation systems through the analysis of various forms of data obtained from traffic monitoring systems, connected vehicles, crowdsourcing, and social media. We discuss some platforms and software architecture for the transport domain, along with a wide array of storage, processing, and analytical techniques, and describe challenges associated with the implementation of Big Data and analytics. This review contributes broadly to the various ways in which cities can utilize Big Data in transportation to guide the creation of sustainable and safer traffic systems. Since research in Big Data and transportation is, by and large, at infancy, this article does not prescribe recommendations to the various challenges identified, which also constitutes the limitation of the article.

[1]  Klaus Moessner,et al.  An Ingestion and Analytics Architecture for IoT Applied to Smart City Use Cases , 2018, IEEE Internet of Things Journal.

[2]  K. B. Letaief,et al.  A Survey on Mobile Edge Computing: The Communication Perspective , 2017, IEEE Communications Surveys & Tutorials.

[3]  Davide Tosi,et al.  Big Data from Cellular Networks: Real Mobility Scenarios for Future Smart Cities , 2016, 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService).

[4]  Yunhao Liu,et al.  Big Data: A Survey , 2014, Mob. Networks Appl..

[5]  Christine Collet,et al.  Aggregating and Managing Big Realtime Data in the Cloud - Application to Intelligent Transport for Smart Cities , 2015, VEHITS.

[6]  Adel M. Alimi,et al.  Big data analytics for logistics and transportation , 2015, 2015 4th International Conference on Advanced Logistics and Transport (ICALT).

[7]  Mohsen Guizani,et al.  Emerging Trends, Issues, and Challenges in Big Data and Its Implementation toward Future Smart Cities , 2017, IEEE Commun. Mag..

[8]  Dimitrios Gunopulos,et al.  Self-adaptive event recognition for intelligent transport management , 2013, 2013 IEEE International Conference on Big Data.

[9]  Xinyu Yang,et al.  A Survey on the Edge Computing for the Internet of Things , 2018, IEEE Access.

[10]  Hossam S. Hassanein,et al.  Scalable Transportation Monitoring using the Smartphone Road Monitoring (SRoM) System , 2015, DIVANet@MSWiM.

[11]  Tarik Taleb,et al.  An Unlicensed Taxi Identification Model Based on Big Data Analysis , 2016, IEEE Transactions on Intelligent Transportation Systems.

[12]  Ciprian Dobre,et al.  Intelligent services for Big Data science , 2014, Future Gener. Comput. Syst..

[13]  Siyuan Liu,et al.  Urban human mobility data mining: An overview , 2016, 2016 IEEE International Conference on Big Data (Big Data).

[14]  Tao Xie,et al.  CarStream: An Industrial System of Big Data Processing for Internet-of-Vehicles , 2017, Proc. VLDB Endow..

[15]  Youness Tabii,et al.  Security of communications in connected cars Modeling and safety assessment , 2017, BDCA'17.

[16]  J. Magtoto,et al.  Real-time traffic data collection and dissemination from an Android Smartphone using proportional computation and freesim as a practical transportation system in Metro Manila , 2012, TENCON 2012 IEEE Region 10 Conference.

[17]  Guido Gentile,et al.  Real World Applications Using Parallel Computing Techniques in Dynamic Traffic Assignment and Shortest Path Search , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[18]  Sascha Bosse,et al.  Providing Clarity on Big Data Technologies: A Structured Literature Review , 2017, 2017 IEEE 19th Conference on Business Informatics (CBI).

[19]  Natalia Sadovnikova,et al.  Strategway: web solutions for building public transportation routes using big geodata analysis , 2015, iiWAS.

[20]  Yasir Mehmood,et al.  Internet-of-Things-Based Smart Cities: Recent Advances and Challenges , 2017, IEEE Communications Magazine.

[21]  Jameela Al-Jaroodi,et al.  Applications of big data to smart cities , 2015, Journal of Internet Services and Applications.

[22]  Ping Wang,et al.  Intelligent Transportation System(ITS): Concept, Challenge and Opportunity , 2017, 2017 IEEE 3rd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS).

[23]  Eyad Abdullah,et al.  Traffic Accidents Analyzer Using Big Data , 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

[24]  Rui Sun,et al.  Estimating online vacancies in real-time road traffic monitoring with traffic sensor data stream , 2015, Ad Hoc Networks.

[25]  Maria Teresa Baldassarre,et al.  Real-time traffic-based routing, based on open data and open-source software , 2016, 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT).

[26]  Ciprian Dobre,et al.  An integrated architecture for future studies in data processing for smart cities , 2017, Microprocess. Microsystems.

[27]  Mohamed F. Mokbel,et al.  Towards Real-Time Road Traffic Analytics using Telco Big Data , 2017, BIRTE.

[28]  Ben Daniel,et al.  Big Data and analytics in higher education: Opportunities and challenges , 2015, Br. J. Educ. Technol..

[29]  Weisong Shi,et al.  The Promise of Edge Computing , 2016, Computer.

[30]  Imad Mahgoub,et al.  Autonomous vehicles safe-optimal trajectory selection based on big data analysis and predefined user preferences , 2016, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[31]  Bin Yang,et al.  Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach , 2016, IEEE Transactions on Computers.

[32]  Fahim Arif,et al.  Smart urban planning using big data analytics based internet of things , 2017, UbiComp/ISWC Adjunct.

[33]  Masaru Kitsuregawa,et al.  Visual fusion of mega-city big data: An application to traffic and tweets data analysis of Metro passengers , 2014, 2014 IEEE International Conference on Big Data (Big Data).

[34]  Dominique Genoud,et al.  A predictive data-driven model for traffic-jams forecasting in smart santader city-scale testbed , 2015, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[35]  Shashi Shekhar,et al.  Future connected vehicles: challenges and opportunities for spatio-temporal computing , 2015, SIGSPATIAL/GIS.

[36]  S. Hopewell,et al.  Cochrane methods - twenty years experience in developing systematic review methods , 2013, Systematic Reviews.

[37]  Weisong Shi,et al.  Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.

[38]  Yinhai Wang,et al.  Video Analytics towards Vision Zero , 2017 .

[39]  Samiksha Shukla,et al.  A framework for smart transportation using Big Data , 2016, 2016 International Conference on ICT in Business Industry & Government (ICTBIG).

[40]  Qi Shi,et al.  Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways , 2015 .

[41]  James Kuhr,et al.  Supporting large scale connected vehicle data analysis using HIVE , 2016, 2016 IEEE International Conference on Big Data (Big Data).

[42]  Ben Kei Daniel,et al.  Big Data and data science: A critical review of issues for educational research , 2019, Br. J. Educ. Technol..

[43]  Nicolas Saunier,et al.  Large-scale automated proactive road safety analysis using video data , 2015 .