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Applied Sciences
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Communication Technology for Smart Mobility Systems
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Communication Technology for Smart Mobility Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 1834

Special Issue Editors

Prof. Dr. Kyounghee Lee

E-Mail Website
Guest Editor
Department of Software Engineering, Pai-Chai University, Daejeon 35345, Republic of Korea
Interests: mobile/wireless communications; future internet; intelligent network and services; cloud computing; mobile edge computing; V2X communications
Prof. Dr. Christos J. Bouras

E-Mail Website
Guest Editor
Department of Computer Engineering and Informatics, University of Patras, 265 04 Patras, Greece
Interests: 5G and beyond networks; computer networks and protocols; e-learning; networked virtual environments

Special Issue Information

Dear Colleagues,

In line with the "Connectivity and Convergence" megatrend, “Smart Mobility” is naturally emerging as an important evolutionary direction that will make our future lives more convenient and safer. Experts anticipate that smart mobility will be driven by trends such as autonomous, connected, electric, and shared mobility. A range of diverse means of transportation, including autonomous vehicles and small personal mobility devices, need to be connected to each other with or without infrastructure. Also, the latest technological advances, such as sensors, 5G/6G communications, mixed reality, bigdata analysis, and artificial intelligence (AI), need to be integrated to a very smart and flexible system which provides seamless “mobility as a service (MaaS)” over a metropolitan area. The basis for all these possibilities could be accurate and fast information exchange among various transportation devices and management systems.

This Special Issue aims to focus on the purpose of presenting new ideas and experimental results in the field of “Communication Technology for Smart Mobility Systems” from design, algorithm, service, and theory to its practical use. We invite researchers, practitioners, and experts in this field to submit their original work, reviews, and case studies. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Communication infrastructure for smart mobility systems;
  • Vehicle-to-X (V2X) communications for autonomous vehicles;
  • Mobility as a Service (MaaS) management and applications;
  • Intelligent Transport Systems (ITSs);
  • Traffic information sharing framework and protocols;
  • Shared mobility services;
  • Connected vehicles: sensors and IoT applications;
  • Pedestrian and driver safety services;
  • AGV and robot communications for Smart Logistics Service (SLS);
  • Ultra-reliable and low-latency communication technology.

Prof. Dr. Kyounghee Lee
Prof. Dr. Christos J. Bouras
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. Applied Sciences 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 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

  • smart mobility
  • mobility as a service (MaaS)
  • autonomous vehicle
  • V2X communications
  • intelligent transport system (ITS)
  • shared mobility
  • connected car
  • low-latency communications

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Published Papers (4 papers)

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Research

17 pages, 1384 KB  
Article
Forming Teams of Smart Objects to Support Mobile Edge Computing for IoT-Based Connected Vehicles
by Fabrizio Messina, Domenico Rosaci and Giuseppe M. L. Sarnè
Appl. Sci. 2025, 15(17), 9483; https://doi.org/10.3390/app15179483 - 29 Aug 2025
Viewed by 135
Abstract
This paper proposes a collaborative framework to support task offloading in connected vehicular environments. The approach relies on the dynamic formation of temporary teams of connected vehicles in a mobile edge computing scenario. A novel trust model is introduced, which integrates both quality [...] Read more.
This paper proposes a collaborative framework to support task offloading in connected vehicular environments. The approach relies on the dynamic formation of temporary teams of connected vehicles in a mobile edge computing scenario. A novel trust model is introduced, which integrates both quality of service and quality of results into a unified reliability score, and combines this score with distributed reputation to build a comprehensive trust metric. This trust metric is then exploited to guide a decentralized team formation algorithm, ensuring lightweight, interpretable, and scalable decision-making processes. Simulation results demonstrate that the proposed framework improves task execution quality and fairness, especially for low-performing vehicles. These contributions highlight the novelty and strengths of our collaborative model, positioning it as a promising solution for enhancing cooperation in vehicular edge systems. Full article
(This article belongs to the Special Issue Communication Technology for Smart Mobility Systems)
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17 pages, 2946 KB  
Article
Generalized Frequency Division Multiplexing—Based Direct Mapping—Multiple-Input Multiple-Output Mobile Electroencephalography Communication Technique
by Chin-Feng Lin and Kun-Yu Chen
Appl. Sci. 2025, 15(17), 9451; https://doi.org/10.3390/app15179451 - 28 Aug 2025
Viewed by 152
Abstract
Electroencephalography (EEG) communication technology with ultra-low power consumption, high transmission data rates, and low latency plays a significant role in mHealth, telemedicine, and Internet of Medical Things (IoMT). In this paper, generalized frequency division multiplexing (GFDM)-based direct mapping (DM) multi-input—multi-output (MIMO) mobile EEG [...] Read more.
Electroencephalography (EEG) communication technology with ultra-low power consumption, high transmission data rates, and low latency plays a significant role in mHealth, telemedicine, and Internet of Medical Things (IoMT). In this paper, generalized frequency division multiplexing (GFDM)-based direct mapping (DM) multi-input—multi-output (MIMO) mobile EEG communication technology (MECT) is proposed for implementation with the above-mentioned applications. The (2000, 1000) low-density parity-check (LDPC) code, four-quadrature amplitude modulation (4-QAM), a power assignment mechanism, and the 3rd Generation Partnership Project (3GPP) cluster delay line (CDL) channel model D were integrated into the proposed EEGCT. The transmission bit error rates (BERs), mean square errors (MSEs), and Pearson-correlation coefficients (PCCs) of the original and received EEG signals were evaluated. Simulation results show that, with a signal to noise ratio (SNR) of 14.51 dB, with a channel estimation error (CEE) of 5%, the BER, MSE, and PCC of the original and received EEG signals were 9.9777 × 10−8, 1.440 × 10−5 and 0.999999998, respectively, whereas, with an SNR of 15.0004 dB and a CEE of 10%, they were 9.9777 × 10−8, 1.4368 × 10−5, and 0.999999997622151, respectively. As the BER value, and PS saving are 9.9777 × 10−8, and 40%, respectively. With the CEE changes from 0% to 5%, and 5% to 10%, the N0 values of the proposed MECT decrease by approximately 0.0022 and 0.002, respectively. The MECT has excellent EEG signal transmission performance. Full article
(This article belongs to the Special Issue Communication Technology for Smart Mobility Systems)
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22 pages, 5403 KB  
Article
SSF-Roundabout: A Smart and Self-Regulated Roundabout with Right-Turn Bypass Lanes
by Marco Guerrieri and Masoud Khanmohamadi
Appl. Sci. 2025, 15(16), 8971; https://doi.org/10.3390/app15168971 - 14 Aug 2025
Viewed by 241
Abstract
This paper presents the novel, smart, commutable, and self-regulated SSF-Roundabout as one of the potential solutions in the environment of smart mobility. The SSF-Roundabout implements traffic counting systems, smart cameras, LED road markers, and Variable Message Signs (VMS) on arms. Based on the [...] Read more.
This paper presents the novel, smart, commutable, and self-regulated SSF-Roundabout as one of the potential solutions in the environment of smart mobility. The SSF-Roundabout implements traffic counting systems, smart cameras, LED road markers, and Variable Message Signs (VMS) on arms. Based on the instantaneous detection of the traffic demand level, vehicles can be properly channelled or not into right-turn bypass lanes, which the roundabout is equipped with in every arm, to guarantee the requested capacity, Level of Service (LOS), and safety. In total, fifteen very different layout configurations of the SSF-Roundabout are available. Several traffic analyses were performed by using ad hoc traffic engineering closed-form models and case studies based on many origin-destination traffic matrices (MO/D(t)) and proportions of CAVs in the traffic stream (from 0% to 100%). Simulation results demonstrate the correlation between layout scenarios, traffic intensity, distribution among arms, and composition in terms of CAVs and their impact on entry and total capacity, control delay, and LOS of the SSF-Roundabout. For instance, the right-turn bypass lane activation may produce an entry capacity increase of 48% and a total capacity increase of 50% in the case of 100% of CAVs in traffic streams. Full article
(This article belongs to the Special Issue Communication Technology for Smart Mobility Systems)
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18 pages, 3964 KB  
Article
Region-of-Interest Extraction Method to Increase Object-Detection Performance in Remote Monitoring System
by Hyeong-GI Jeon and Kyoung-Hee Lee
Appl. Sci. 2025, 15(10), 5328; https://doi.org/10.3390/app15105328 - 10 May 2025
Viewed by 668
Abstract
This study proposes an image data preprocessing method to improve the efficiency of transmitting and processing images for object detection in distributed IoT systems such as digital CCTV. The proposed method prepares a background image using Gaussian Mixture-based modeling with a series of [...] Read more.
This study proposes an image data preprocessing method to improve the efficiency of transmitting and processing images for object detection in distributed IoT systems such as digital CCTV. The proposed method prepares a background image using Gaussian Mixture-based modeling with a series of continuous images in the video. Then it is used as the reference to be compared with a target image to extract the ROIs by our DSSIM-based area filtering algorithm. The background areas beside the ROIs in the image are filled with a single color—either black or white to reduce data size, or a highly saturated color to improve object detection performance. Our implementation results confirm that the proposed method can considerably reduce the network overhead and the processing time at the server side. From additional experiments, we found that the model’s inference time and accuracy for object detection can be significantly improved when our two new ideas are applied: expanding ROI areas to improve the objectness of each object in the image and filling the background with a highly saturated color. Full article
(This article belongs to the Special Issue Communication Technology for Smart Mobility Systems)
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