Big Data Technology and Applications in Intelligent Transportation

Submission Deadline: 31 March 2020

IEEE Access invites manuscript submissions in the area of Big Data Technology and Applications in Intelligent Transportation.

Intelligent transportation is an emerging trending topic in the frontier of world transportation development. It relies on the integration of transport infrastructure and vehicle technology, and aims at building a safe, convenient, efficient and green transportation system through the integration of modern information, communication and control. It includes four main parts: intelligent transport, intelligent vehicle, intelligent traffic management, intelligent plan and applications.

With the improvement of the Internet of Vehicles, road network monitoring, navigation systems, logistics supervision and other platforms, the sources and categories of traffic big data have increased in recent years. Massive multi-source traffic big data provides valuable data resources for intelligent traffic management. Based on big data, emerging technologies such as cloud computing and artificial intelligence make traffic more intelligent, green and safe.

This Special Section in IEEE Access aims to provide researchers and practitioners a platform to present innovative solutions based on Big Data Technology and Applications. The focus of this Special Section is to address the current research challenges by encouraging submissions related to the advanced Big Data Technology and Applications in Intelligent Transportation System.

The topics of interest include, but are not limited to:

  • Urban Traffic Big Data
  • Road Network Travel Big Data Analysis
  • Rail Traffic Big Data Analysis
  • Civil Aviation Big Data Application
  • Big Data and Traffic Safety
  • Big Data and Traffic Optimization
  • Big Data in Ports, Waterways, Inland Navigation, and Vessel Traffic Management
  • Big Data in Detection of Vulnerable Road Users and Animals
  • Big Data and Air, Road, and Rail Traffic Management
  • Big Data in ITS User Services
  • Big Data in Emergency Management
  • Big Data in Transportation Electrification
  • Big Data in Emissions, Noise, Environment
  • Big Data in Management of Exceptional Events
  • Big Data in Intelligent Logistics
  • Big Data in Sensing, Detectors and Actuators
  • Big Data in Intelligent Vehicles
  • Big Data in Vision, and Environment Perception
  • Smart Mobility
  • Shared Mobility
  • Big Data in Safety Systems
  • Testing for Big Data Application in ITS

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.


Associate Editor:  Sabah Mohammed, Lakehead University, Canada

Guest Editors:

    1. Xiaobo QU, Chalmers University of Technology, Sweden
    2. Hamid Arabnia, The University of Georgia, USA
    3. Jiandong Zhao, Beijing Jiaotong University, China
    4. Dalin Zhang, Beijing Jiaotong University, China
    5. Tai-Hoon Kim, University of Tasmania, Australia, Beijing Jiaotong University, China


Relevant IEEE Access Special Sections:

  1. Data Mining for Internet of Things
  2. Urban Computing and Intelligence
  3. Distributed Computing Infrastructure for Cyber-Physical Systems

IEEE Access Editor-in-Chief:
  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact: