Submit a Manuscript to the Journal

International Journal of General Systems

For a Special Issue on

Deep Learning for Intelligent Transportation

Manuscript deadline
31 December 2023

Cover image - International Journal of General Systems

Special Issue Editor(s)

Xiaofeng Xu, China University of Petroleum, China
[email protected]

Qiang Shen, Aberystwyth University, UK
[email protected]

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Deep Learning for Intelligent Transportation

Intelligent transportation is an important physical foundation for smart cities, as well as a strong pillar to support the development of a country. Developing intelligent transportation has been recognized as an efficient way to enhance travel security, reduce energy consumption, and alleviate traffic congestion. Solving problems of intelligent transportation is a challenging task because the factors such as the multidiscipline nature and the complex traffic scenarios. Deep learning as an emerging machine learning technology is undergoing rapid development, and deep learning for intelligent transportations attracts increasing attention from both academia and industry. It provides important support for intelligent transportation in many aspects such as signal and image processing, traffic flow prediction, vehicle routing, traffic network optimization, traffic signal control, and automatic driving. Exploring the theory and application of deep learning technology in the context of intelligent transportation is timely and has real-world impact.

We invite researchers and practitioners to contribute their original research to this special issue, which aims to advance the field of deep learning in intelligent transportation and address the pressing challenges it faces. Topics of interest for submission include, but are not limited to:

  • Deep learning for traffic flow prediction
  • Deep learning for travel demand forecasting
  • Deep learning for transportation pricing
  • Deep learning for vehicle routing problem
  • Deep learning for transportation network optimization
  • Deep learning for automatic driving

We look forward to receiving your submissions and believe that your research can contribute significantly to the development of deep learning in intelligent transportation. If you have any inquiries or require further information, please feel free to contact us.


Xiaofeng Xu & Qiang Shen

Submission Instructions

Authors should go to online submission portal and indicate their intent for possible publication in the special issue. Papers will be evaluated based on their originality, presentation, relevance and contribution to the topic of deep learning in intelligent transportation and logistics, as well as their suitability and the quality in terms of both technical contribution and writing. The submitted papers must be written using correct English and describe original research which has not been published nor is currently under review by other journals or conferences. The Guest Editors will check the suitability and originality of manuscript and then will send to at least two independent referees and make an initial decision of the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review. The final collection of manuscripts must be complete and must fully comply with Instructions for Authors that are included on the Journal homepage. The expected size of the final manuscript in terms of pages including figures and tables is 15.

Instructions for AuthorsSubmit an Article