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Applications of Advanced Sensors and Interoperability Technologies in Autonomous Transportation...
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Applications of Advanced Sensors and Interoperability Technologies in Autonomous Transportation Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 20 December 2025 | Viewed by 1179

Special Issue Editors

Dr. Yilong Ren

E-Mail Website
Guest Editor
Research Institute for Frontier Science, Beihang University, Beijing 100191, China
Interests: autonomous transportation systems; interoperability technologies; vehicle-road integration; traffic control; intelligent decision-making
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhiyong Cui

E-Mail Website
Guest Editor
School of Transportation Science and Engineering, Beihang University, Beijing, 100191, China
Interests: traffic data science; artificial intelligence; traffic prediction and control; intelligent connected vehicles; autonomous transportation
Special Issues, Collections and Topics in MDPI journals
Dr. Kun Wang

E-Mail Website
Guest Editor
College of Civil Engineering, Anhui Jianzhu University, Hefei 230009, China
Interests: road traffic safety; traffic human factors engineering; intelligent transportation and human-computer interaction; autonomous transportation; vehicle-road coordination
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the ongoing evolution of transportation systems toward greater intelligence and autonomy, autonomous transportation systems characterized by the deep integration of various transportation elements represent a significant milestone in the development of intelligent transportation. The advancement of autonomous transportation will play a pivotal role in shaping the future of mobility, where diverse transportation agents will collaborate through cutting-edge sensing and interoperability technologies to enhance both efficiency and safety. This Special Issue seeks to gather a series of pioneering research efforts focused on the application of interoperability technologies in autonomous transportation systems, supported by advanced sensor capabilities. We invite original contributions that have neither been previously published nor are under consideration elsewhere. Submissions are welcome in the form of both theoretical studies and cutting-edge practical applications. All submitted papers will undergo peer review and be selected based on their scientific merit, quality, and relevance to the theme of this Special Issue.

The topics of interest for this Special Issue include, but are not limited to, the following:

  • Autonomous transportation systems
  • Interoperability technologies
  • Consistent interaction semantics
  • Integration of sensor, communication, and computing resources
  • Interoperability requirements and mechanisms
  • Crowd intelligence and decision control
  • Multi-agent cooperative control
  • Crowd sensing
  • Simulation and testing of interoperability technologies
  • Collaborative perception technologies

Dr. Yilong Ren
Prof. Dr. Zhiyong Cui
Dr. Kun Wang
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • autonomous transportation systems
  • interoperability technologies
  • consistent interaction semantics
  • integration of sensor, communication, and computing resources
  • interoperability requirements and mechanisms
  • crowd intelligence and decision control
  • multi-agent cooperative control
  • crowd sensing
  • simulation and testing of interoperability technologies
  • collaborative perception technologies

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

Published Papers (2 papers)

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Research

19 pages, 26419 KiB  
Article
Pulse–Glide Behavior in Emerging Mixed Traffic Flow Under Sensor Accuracy Variations: An Energy-Safety Perspective
by Mengyuan Huang, Jinjun Sun, Honggang Li and Qiqi Miao
Sensors 2025, 25(13), 4189; https://doi.org/10.3390/s25134189 - 5 Jul 2025
Viewed by 295
Abstract
Pulse and Glide (PnG), as a fuel-saving technique, has primarily been applied to manual transmission vehicles. So, its effectiveness when integrated with a novel vehicle type like connected and automated vehicles (CAVs) remains largely unexplored. On the other hand, CAVs have evidently received [...] Read more.
Pulse and Glide (PnG), as a fuel-saving technique, has primarily been applied to manual transmission vehicles. So, its effectiveness when integrated with a novel vehicle type like connected and automated vehicles (CAVs) remains largely unexplored. On the other hand, CAVs have evidently received less attention regarding energy conservation, and their prominent perception capabilities clearly exhibit individual variations. In light of this, this study investigates the impacts of PnG combined with CAVs on energy conservation and safety within the emerging mixed traffic flow composed of CAVs with varying sensing accuracies. The results indicate the following: (i) compared to the traditional driving modes, the PnG can achieve a maximum fuel-saving rate of 39.53% at Fuel Consumption with Idle (FCI), reducing conflicts by approximately 30% on average; (ii) CAVs, equipped with sensors boasting a greater detection range, markedly enhance safety during vehicle operation and contribute to a more uniform distribution of individual fuel consumption; (iii) PnG modes with moderate acceleration, such as 1–2 m/s2, can achieve excellent fuel consumption while ensuring safety and may even slightly enhance the operational efficiency of the intersection. The findings could provide a theoretical reference for the transition of transportation systems toward sustainability. Full article
(This article belongs to the Special Issue Applications of Advanced Sensors and Interoperability Technologies in Autonomous Transportation Systems)
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21 pages, 8626 KiB  
Article
LSCD-Pose: A Feature Point Detection Model for Collaborative Perception in Airports
by Ruifeng Meng, Jinlei Wang, Yuanhao Huang, Zhaofeng Xue, Yihao Hu and Biao Li
Sensors 2025, 25(10), 3176; https://doi.org/10.3390/s25103176 - 18 May 2025
Viewed by 472
Abstract
Ensuring safety on busy airport aprons remains challenging, particularly in preventing aircraft wingtip collisions. In this study, first, a simplified coordinate mapping method converts pixel detections into accurate spatial coordinates, improving aircraft position and velocity estimates. Next, an innovative dynamic warning area with [...] Read more.
Ensuring safety on busy airport aprons remains challenging, particularly in preventing aircraft wingtip collisions. In this study, first, a simplified coordinate mapping method converts pixel detections into accurate spatial coordinates, improving aircraft position and velocity estimates. Next, an innovative dynamic warning area with a classification mechanism is introduced to enable faster responses from airport staff. Finally, this study proposes LSCD-Pose, a real-time detection network enhanced by lightweight shared modules, significantly reducing model size and computational load without sacrificing accuracy. Experiments on real airport datasets representing various apron scenarios demonstrate frame rates up to 461.7 FPS and a 90.5% reduction in model size compared with the baseline. Visualizations confirm the solution’s versatility and efficiency in effectively mitigating wingtip collisions and enhancing apron safety. Full article
(This article belongs to the Special Issue Applications of Advanced Sensors and Interoperability Technologies in Autonomous Transportation Systems)
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