Symmetry/Asymmetry in Intelligent Transportation System

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

Deadline for manuscript submissions: 30 September 2026 | Viewed by 289

Special Issue Editors


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Guest Editor
FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32310, USA
Interests: traffic signal control; public transit; CAVs; EVs; traffic demand management; machine learning applications in smart mobility; traffic state estimation and prediction; traffic flow theory; transportation network optimization; dynamic traffic assignment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
Interests: transportation infrastructure resilience; infrastructure risk management; sustainable transportation materials; intelligent transportation systems
Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
Interests: emergency management; intelligent transportation systems; brain-inspired computing; system optimisation; energy efficiency and energy conservation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on exploring the role of symmetry and asymmetry theories in advancing intelligent transportation systems (ITSs). ITSs integrate mathematics, computer science, control theory, artificial intelligence, sensors, and IoT technologies to enhance safety, efficiency, and sustainability across multimodal transportation networks. However, real-world ITS applications still face challenges such as system complexity, data uncertainty, and the need for symmetry breaking in modeling and optimization. We are pleased to invite you to contribute to the Special Issue ‘Symmetry/Asymmetry in Intelligent Transportation System’. This Special Issue aims to explore the role of symmetry and asymmetry theories in advancing ITS research and applications. By highlighting theoretical developments, data-driven methods, and engineering applications, this Issue seeks to bridge the gap between theory and practice in the perception, prediction, and control of transportation systems. The topic aligns closely with the journal’s scope by emphasizing the interplay between mathematical principles and engineering innovations for building resilient, adaptive, and intelligent transportation infrastructures.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Symmetry and asymmetry in modeling and optimization of transportation systems.
  • Big data analytics and AI-enhanced traffic management.
  • Connected and autonomous vehicles.
  • Multimodal transport modeling and control.
  • Digital twin-based system optimization.
  • Applications of mathematical symmetry theory in ITS design and operation.

We look forward to receiving your valuable contributions.

Sincerely,

Dr. Yuyan Annie Pan
Dr. Bingyan Cui
Dr. Huibo Bi
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 250 words) can be sent to the Editorial Office for assessment.

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

  • intelligent transportation systems (ITSs)
  • symmetry and asymmetry
  • artificial intelligence and big data
  • connected and autonomous vehicles (CAVs)
  • transportation network modeling
  • symmetry breaking in optimization
  • digital twin
  • infrastructure resilience
  • traffic flow prediction and control
  • multimodal transportation systems

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Published Papers (1 paper)

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Research

23 pages, 11512 KB  
Article
Realizing Fuel Conservation and Safety for Emerging Mixed Traffic Flows: The Mechanism of Pulse and Glide Under Signal Coordination
by Ayinigeer Wumaierjiang, Jinjun Sun, Hongang Li, Wei Dai and Chongshuo Xu
Symmetry 2025, 17(12), 2170; https://doi.org/10.3390/sym17122170 - 17 Dec 2025
Abstract
Pulse and glide (PnG) has limited application in urban traffic flows, particularly in emerging mixed traffic flows comprising connected and automated vehicles (CAVs) and human-driven vehicles (HDVs), as well as at signalized intersections. In light of this, green wave coordination is applied to [...] Read more.
Pulse and glide (PnG) has limited application in urban traffic flows, particularly in emerging mixed traffic flows comprising connected and automated vehicles (CAVs) and human-driven vehicles (HDVs), as well as at signalized intersections. In light of this, green wave coordination is applied to the urban network of multiple signalized intersections. Under perception asymmetries, HDVs lack environmental perception capabilities, while CAVs are equipped with perception sensors of varying performance. CAVs could activate the PnG mode and set its average speed based on signal phase and safety status, enabling assessment of fuel savings and safety. The findings reveal that (i) excluding idling fuel consumption, when the traffic volume is low and market penetration rate (MPR) of CAVs exceeds 70%, CAVs could significantly reduce regional average fuel consumption by up to 8.8%. (ii) Compared to HDVs, CAVs could achieve a fuel saving rate (FSR) ranging from 7.1% to 50%. In low-traffic-volume conditions, CAVs with greater detection ranges could swiftly activate the PnG mode to achieve fuel savings, while in higher-traffic-volume conditions, more precise sensing aids effectiveness. (iii) the PnG mode could ensure safety for CAVs and HDVs, with CAVs equipped with highly precise sensing exhibiting particularly robust safety performance. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry in Intelligent Transportation System)
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