Advance in Machine Learning with Symmetry/Asymmetry in Transportation

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 101

Special Issue Editors

College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China
Interests: traffic safety; traffic simulation and optimization; traffic big data and machine learning; driving behavior
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
Interests: intelligent transportation and traffic big data analysis; the integrated public transport system is intelligent; optimization of transportation and logistics systems; planning and management of transportation and logistics systems

Special Issue Information

Dear Colleagues,

The continuous advancement of traffic safety relies heavily on innovative algorithmic solutions. Leveraging symmetry principles in the design of traffic safety systems can lead to significant improvements in predicting and preventing accidents. The integration of machine learning algorithms and symmetry analysis offers promising directions for enhancing road safety. Key areas of interest include the symmetrical and asymmetrical design of traffic control systems, dynamic modeling and parameter identification of traffic flow, and advanced methods for real-time accident risk assessment.

This Special Issue, therefore, invites all original and reviewed papers covering the challenging aspects of traffic safety algorithms, including, but not limited to, the following topics:

  • Symmetrical/asymmetrical design of traffic control systems;
  • Dynamic modeling and parameter identification of traffic flow;
  • Real-time traffic accident prediction and risk assessment;
  • Advanced machine learning algorithms for traffic safety optimization;
  • Environmental perception and decision-making for traffic management;
  • High-performance trajectory tracking and control for accident prevention;
  • Functional safety and reliability of intelligent traffic systems;
  • Symmetry/Asymmetry analysis in traffic safety algorithms.

Dr. Gen Li
Prof. Dr. Yangsheng Jiang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • traffic safety algorithms
  • symmetry design
  • dynamic modeling
  • parameter identification
  • real-time accident prediction
  • risk assessment
  • environmental perception
  • decision planning
  • trajectory tracking control

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop