Special Issue on Smartphone-Based Intelligent Transportation Systems

Submission Deadline: Jul. 10, 2020

This special issue currently is open for paper submission and guest editor application.

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Special Issue Flyer (PDF)

  • Special Issue Editor
    • Mehdi Ghatee
      Department of Computer Science, Tehran, Iran
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
    • Johan Wahlström
      Oxford University, Oxford, UK
    • Luis Carlos Gonzalez-Gurrola
      School of Engineering, Universidad Autónoma de Chihuahua Circuito Universitario, Chihuahua, Mexico
    • Amir Golroo
      Department of Computer Science, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
    • Hamid Reza Eftekhari
      Department of computer science, Malayer University, Tehran, Iran
    • Sina Dabiri
      Lime, Information Technology and Services, California, USA
  • Introduction

    Intelligent Transportation Systems (ITS) have achieved an immense positive impact on transportation in modern cities. These systems can be designed to, for example, increase safety, improve traffic management operations, reduce shipping costs, enhance information services, and protect infrastructure. They process huge amounts of data that are collected by a versatile set of sensors, extracting a lot of different traffic-related information.
    One way to collect traffic data is by using smartphones. Smartphones offer many options for collecting, saving, and processing data with a user-friendly interface. In particular, many established methods within data mining, artificial intelligence (AI), and the Internet of Things (IoT) have been proposed to solve sensing, networking, and signal processing problems that show up in transportation applications. Additionally, one may make use of knowledge from disciplines such as civil engineering, electrical engineering, communication, computer science, statistics, and psychology. The purpose of this special issue is to provide a link between academia and industry by focusing on modern AI algorithms applied to data collected from smartphone-embedded sensors to show how smartphones can improve safety and mobility in transportation. Papers that present reviews or experiment results on smartphone data by different AI technologies, or theoretical topics related to improving transportation issues, are welcome.
    Topics of interest include but are not limited to:
    1. Statistical methods for collecting data from smartphone sensors
    2. Preprocessing on smartphones data for ITS
    3. Feature extraction methods on smartphone data
    4. Feature selection methods for removing irrelevant features of smartphone data
    5. Supervised, unsupervised and semi-supervised learning methods on smartphone data
    6. Frequent patterns detection in smartphone data
    7. Shallow networks and deep networks on smartphone data
    8. Probabilistic methods on smartphone data
    9. Fuzzy methods on smartphone data
    10. Big data analysis for smartphone-based ITS
    11. Cloud computing for smartphone data analysis
    12. Identification of road anomalies
    13. Driver fingerprinting
    14. Transportation mode classification
    15. Detecting smartphone status in vehicles
    16. Driver behavior classification
    17. Usage based insurance and smartphones
    18. Advanced driver assistance system based on smartphone data
    19. Warning system on smartphones
    20. Traffic monitoring and control based on smartphones
    21. V2I , V2V and V2P (Pedestrian) based systems on smartphones

    Aims and Scope:

    1. Smartphone Applications in Transportation
    2. Intelligent Transportation Systems based on Smartphones
    3. Smartphone Data Mining
    4. Smartphone Sensors Fusion
    5. Traffic monitoring by smartphones
    6. Incident detection by smartphones
    7. Road Quality Assessment
    8. Maneuvers Recognition
    9. Driving Style Evaluation
    10. Driving Score Prediction

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajtte.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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