Hasil untuk "Transportation and communication"

Sunita Sharma, S. K. Ghoshal

S. A. Bagloee, M. Tavana, Mohsen Asadi et al.

This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease the transportation cost and increase accessibility to low-income households and persons with mobility issues. This emerging technology also has far-reaching applications and implications beyond all current expectations. This paper provides a comprehensive review of the relevant literature and explores a broad spectrum of issues from safety to machine ethics. An indispensable part of a prospective AV development is communication over cars and infrastructure (connected vehicles). A major knowledge gap exists in AV technology with respect to routing behaviors. Connected-vehicle technology provides a great opportunity to implement an efficient and intelligent routing system. To this end, we propose a conceptual navigation model based on a fleet of AVs that are centrally dispatched over a network seeking system optimization. This study contributes to the literature on two fronts: (i) it attempts to shed light on future opportunities as well as possible hurdles associated with AV technology; and (ii) it conceptualizes a navigation model for the AV which leads to highly efficient traffic circulations.

Mohammad Asif Habibi, M. Nasimi, B. Han et al.

The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous mobile service with enhanced quality of service (QoS). It is also expected to enable new use-cases for various vertical industrial applications—such as automobiles, public transportation, medical care, energy, public safety, agriculture, entertainment, manufacturing, and so on. Rapid increases are predicted to occur in user density, traffic volume, and data rate. This calls for novel solutions to the requirements of both mobile users and vertical industries in the next decade. Among various available options, one that appears attractive is to redesign the network architecture—more specifically, to reconstruct the radio access network (RAN). In this paper, we present an inclusive and comprehensive survey on various RAN architectures toward 5G, namely cloud-RAN, heterogeneous cloud-RAN, virtualized cloud-RAN, and fog-RAN. We compare them from various perspectives, such as energy consumption, operations expenditure, resource allocation, spectrum efficiency, system architecture, and network performance. Moreover, we review the key enabling technologies for 5G systems, such as multi-access edge computing, network function virtualization, software-defined networking, and network slicing; and some crucial radio access technologies (RATs), such as millimeter wave, massive multi-input multi-output, device-to-device communication, and massive machine-type communication. Last but not least, we discuss the major research challenges in 5G RAN and 5G RATs and identify several possible directions of future research.

Jiateng Yin, T. Tang, Lixing Yang et al.

Milad Rahmati, Nima Rahmati

Abstract The expansion of autonomous systems across fields such as transportation, robotics, and industrial automation demands dependable real-time decision-making, particularly in environments with limited communication resources. The core problem lies in traditional Federated Reinforcement Learning (FRL) frameworks, which often disregard bandwidth constraints, leading to inefficiencies, delays, and degraded performance in dynamic settings. To address this, this study proposes a novel Bandwidth-Aware Federated Reinforcement Learning (BA-FRL) approach tailored for real-time multi-agent autonomous systems functioning in dynamic and bandwidth-variable environments. The solution plan integrates an adaptive synchronization strategy that modulates model sharing based on environmental fluctuations and network capacity, combined with gradient sparsification for efficient updates. A rigorous theoretical foundation is presented, establishing convergence guarantees even under restricted communication conditions. Experimental validation using complex vehicular and aerial multi-agent simulations reveals that BA-FRL can reduce communication overhead by up to 43% while sustaining high task performance. These findings underscore the framework’s practicality and promise for scalable, efficient deployment of autonomous systems in communication-limited real-world scenarios.

Haifeng Tang, Yongchao Fan, Ying Zhang et al.

As traffic demand increases and intelligent transportation systems continue to develop, traffic signal control must operate reliably in complex and heterogeneous network environments, especially under communication instability. Traditional approaches often lack sufficient resilience when facing packet loss, delay, and other communication disturbances. This study proposes a resilient collaborative control (RCC) method for transportation hubs that explicitly considers communication reliability. A multi-layer computational framework is developed to support real-time mapping and interaction between physical and virtual networks. A fuzzy-logic-based communication state perception model is introduced to guide adaptive control-mode switching. To improve network-level performance, a recovery-oriented optimization algorithm is applied for dynamic load balancing across the hub area. Co-simulation results show that, compared with traditional adaptive control, the proposed method reduces average vehicle delay by 42.3%, increases network speed by 52.3%, shortens recovery time by 63%, and improves the resilience index to 0.87. These results support the effectiveness of the proposed framework within the evaluated co-simulation setting.

Emrah Akyol, Marcos Vasconcelos

We study binary coordination games over graphs under log-linear learning when neighbor actions are conveyed through explicit noisy communication links. Each edge is modeled as either a binary symmetric channel (BSC) or a binary erasure channel (BEC). We analyze two operational regimes. For binary symmetric and binary erasure channels, we provide a structural characterization of the induced learning dynamics. In a fast-communication regime, agents update using channel-averaged payoffs; the resulting learning dynamics coincide with a Gibbs sampler for a scaled coordination potential, where channel reliability enters only through a scalar attenuation coefficient. In a snapshot regime, agents update from a single noisy realization and ignore channel statistics; the induced Markov chain is generally nonreversible, but admits a high-temperature expansion whose drift matches that of the fast Gibbs sampler with the same attenuation. We further formalize a finite-$K$ communication budget, which interpolates between snapshot and fast behavior as the number of channel uses per update grows. This viewpoint yields a communication-theoretic interpretation in terms of retransmissions and repetition coding, and extends naturally to heterogeneous link reliabilities via effective edge weights. Numerical experiments illustrate the theory and quantify the tradeoff between communication resources and steady-state coordination quality.

Prabu P

Internet of Things (IoT) consists of sensors embed with physical objects that are connected to the Internet and able to establish the communication between them without human intervene applications are industry, transportation, healthcare, robotics, smart agriculture, etc. The communication technology plays a crucial role in IoT to transfer the data from one place to another place through Internet. This paper presents various communication protocols, namely Zigbee, Bluetooth, Near Field Communication (NFC), LoRA, etc. Later, it provides the difference between different communication protocols. Finally, the overall discussion about the communication protocols in IoT.

A. Petrillo, A. Pescapé, S. Santini

The development of autonomous connected vehicles, moving as a platoon formation, is a hot topic in the intelligent transportation system (ITS) research field. It is on the road and deployment requires the design of distributed control strategies, leveraging secure vehicular ad-hoc networks (VANETs). Indeed, wireless communication networks can be affected by various security vulnerabilities and cyberattacks leading to dangerous implications for cooperative driving safety. Control design can play an important role in providing both resilience and robustness to vehicular networks. To this aim, in this article, we tackle and solve the problem of cyber-secure tracking for a platoon that moves as a cohesive formation along a single lane undergoing different kinds of cyber threats, that is, application layer and network layer attacks, as well as network induced phenomena. The proposed cooperative approach leverages an adaptive synchronization-based control algorithm that embeds a distributed mitigation mechanism of malicious information. The closed-loop stability is analytically demonstrated by using the Lyapunov–Krasovskii theory, while its effectiveness in coping with the most relevant type of cyber threats is disclosed by using PLEXE, a high fidelity simulator which provides a realistic simulation of cooperative driving systems.

Bowen Fei, Weidong Bao, Xiaomin Zhu et al.

With the rapid development of artificial intelligence technology, the multi-UAV cooperative search has wide applications in the field of Internet of Things, such as resource exploration, emergency rescue, intelligent transportation, etc. However, the communication network in an unknown environment may be inaccessible, and the real-time information sharing among UAVs cannot be guaranteed, resulting in the failure of cooperative search. Aiming at this issue, this article is devoted to the design of the multi-UAV flight strategy to improve the cooperative search capability in an uncertain communication environment. Specifically, a new cooperative architecture oriented to a local communication network is devised to control the observation locations of multiple UAVs in the search process, and some local communication networks are established based on the distance among UAVs to meet the requirements of the search task. On this foundation, we develop a multi-UAV cooperative search model (MCSM) with communication cost and formation benefit as an optimization function to ensure the effectiveness of multi-UAV search. Moreover, in the process of model solving, an improved sparrow search algorithm (ISSA) is presented with some different search strategies to enhance the optimization capability. To verify the superiority of the proposed method, we designed several groups of simulation experiments to analyze the performance of MCSM. Experimental results illustrate that our method can not only maintain high cooperative search accuracy but also has high stability and convergence speed.

Yurui Cao, Sai Xu, Jiajia Liu et al.

Vehicle-to-everything (V2X) communication in 5G and beyond provides technical support for the future intelligent transportation system by enabling vehicles to connect everything in a smart way. Intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) can be integrated as a UAV-enabled aerial IRS (UAIRS), which shows great potential in assisting V2X communication. In this article, we introduce UAIRS to V2X communication to facilitate vehicular networks. First, we provide an overview of UAIRS-assisted V2X communication. Then, several promising application scenarios are presented, followed by intensive discussions of important research agendas. Finally, a case study demonstrates the superiority of UAIRS-assisted vehicular networks by numerical results.

Alimatussa'diyah

Hubungan komunikasi antara mahasiswa dan dosen selama proses bimbingan penyusunan skripsi biasa dilakukan melalui WhatsApp. Sayangnya, masih ada beberapa mahasiswa yang belum menerapkan prinsip kesantunan berbahasa sehingga pesan yang dikirimkan kepada dosen pembimbing dapat berpotensi tidak sopan. Penelitian ini bertujuan untuk mendeskripsikan kesantunan berbahasa mahasiswa Program Studi Transportasi Laut Polimarin kepada dosen pembimbing dalam penyusunan skripsi. Masalah yang dikaji dalam penelitian ini adalah pematuhan dan pelanggaran prinsip kesantunan berbahasa mahasiswa kepada dosen pembimbing melalui pesan WhatsApp. Metode yang digunakan dalam penelitian ini adalah metode penelitian deskriptif kualitatif. Hasil penelitian menunjukkan bahwa mahasiswa lebih banyak mematuhi prinsip kesantunan berbahasa daripada melakukan pelanggaran prinsip kesantunan berbahasa. Pematuhan kesantunan berbahasa yang dilakukan oleh mahasiswa yaitu pematuhan bidal ketimbangrasaan, bidal kemurahhatian, bidal kesetujuan, dan bidal keperkenaan dengan jumlah tuturan 20. Selanjutnya, pada pelanggaran kesantunan berbahasa terdapat sebanyak 15 tuturan mahasiswa yang melanggar prinsip kesantunan berbahasa. Berdasarkan hasil tersebut, mahasiswa sebenarnya sudah memiliki kesadaran akan pentingnya kesantunan berbahasa saat berkomunikasi.

muhnad aleasiwi, Emad Kareem Abbas

Objectives: Writing on topics related to the role of Arab tribes in the Ottoman era gives us an impression of the relations Which linked these tribes to the Ottoman Empire and the extent of their influence on the Ottoman decision regarding many matters, especially the economic and military aspects, and this appeared clearly in the text of the research.Methodology: We followed a methodology that would achieve the objectives of the study by analyzing the Ottoman documents that were the basis of this study, which dealt with all the information related to the Mawali tribe and its relationship with the Ottoman Empire, and working to provide an in-depth study on the important information that these documents contain.Results: The Mawali tribe played a major role in drawing up Ottoman policy in the areas of its presence, starting from the state of Raqqa in northern Syria to the city of Anah in western Iraq, especially with regard to transportation and communication routes, their protection, and tax collection, in addition to their management of many Ottoman sanjaks.Recommendations: Emphasizing the necessity of studying many other Arab tribes that deserve study and that had a prominent role in drawing up Ottoman policy in the areas where they were located, as there are many tribes with a clear influence in drawing up Ottoman policy that should have a clear study, for example the Zobaa tribe.

Siatta Leemu Alberta Gray, Tolbert Geewleh Nyenswah, Julius Saye Miator Gilayeneh Sr et al.

Introduction: In 2014, Ebola Virus Disease (EVD) outbreak struck West Africa, leaving Liberia as the most affected nation. Two years later, a Joint External Evaluation (JEE) conducted in Liberia revealed gaps within the disease surveillance system. These gaps existed due to limited implementation of the International Health Regulation (IHR) 2005 which was adopted by Liberia in 2007. The IHR 2005 is a legally binding document which guides nations to ensure global public health security, with the establishment of minimum core capacities at ports of entry (PoEs) as a requirement to reduce the risk of disease spread. We evaluated the core capacities at eight designated ports of entry in Liberia to assess the implementation of the IHR 2005, measure progress, and set benchmarks for future interventions. Methods: A descriptive cross-sectional study was employed to evaluate the designated PoEs using the WHO PoE assessment checklist. The capacities assessed included vector control, cross-border coordination, quarantine, handwashing, communication, mobility, electricity, portable nearby water sources, and a trained workforce. Key informant interviews, document reviews, and direct observations at PoEs were also conducted. The result of the assessment was summarized in proportions and charts. Thematic analysis of the key informant interviews was also carried out. Results: All the eight PoEs assessed had electricity and workforce trained on IHR. Cross-border meetings and information sharing were held with neighbouring countries in two-thirds of the PoEs assessed. The majority (7/8) of the PoEs had a portable water source, however handwashing facilities were only available in three. Similarly, only one had communication equipment, two had vector control mechanisms in place, and two had quarantine space for suspected ill travelers. None of the PoEs had functional transportation services to move sick passengers to the designated treatment facilities. Conclusion: Core capacities at the study PoEs are partially established and there is a need to strengthen infrastructural, human resource, surveillance and response, communication, and vector control capacities.

T. Aditya Sai Srinivas, Ranjeet Yadav, V. Gowri et al.

Physical situations that are duplicated in virtual settings are what the term ''digital twin'' refers to. Utilizing the Internet of Things and sensors to improve microgrid operation, the Microgrid Digital Twin (MGDT) exhibits bidirectional data sharing and sophisticated communication characteristics. Smart grid functionality is enhanced, limits are set in real-time, and data is securely stored by MGDT. It directs the planning and execution phases of microgrid operations. Concurrently, industry and transportation innovation is propelled by the Industrial Revolution. AI-driven ground-dependent controls, communication systems, and sensors are essential for breakthroughs in unmanned vehicle safety. This abstract clarifies how important digital twins more specifically, MGDTs are to system operations optimization. In addition to highlighting technological advancement and the use of AI to ensure the safety of unmanned vehicles, it provides insights into the potentially revolutionary applications of digital twins across a range of industries.

Ahmad Halimi Razlighi, Maximilian H. V. Tillmann, Edgar Beck et al.

In this paper, we explore a multi-task semantic communication (SemCom) system for distributed sources, extending the existing focus on collaborative single-task execution. We build on the cooperative multi-task processing introduced in [1], which divides the encoder into a common unit (CU) and multiple specific units (SUs). While earlier studies in multi-task SemCom focused on full observation settings, our research explores a more realistic case where only distributed partial observations are available, such as in a production line monitored by multiple sensing nodes. To address this, we propose an SemCom system that supports multi-task processing through cooperation on the transmitter side via split structure and collaboration on the receiver side. We have used an information-theoretic perspective with variational approximations for our end-to-end data-driven approach. Simulation results demonstrate that the proposed cooperative and collaborative multi-task (CCMT) SemCom system significantly improves task execution accuracy, particularly in complex datasets, if the noise introduced from the communication channel is not limiting the task performance too much. Our findings contribute to a more general SemCom framework capable of handling distributed sources and multiple tasks simultaneously, advancing the applicability of SemCom systems in real-world scenarios.

Phanindra Dewan, Sumantra Sarkar

Molecular communication (MC) is a model of information transmission where the signal is transmitted by information-carrying molecules through their physical transport from a transmitter to a receiver through a communication channel. Prior efforts have identified suitable "information molecules" whose efficacy for signal transmission has been studied extensively in diffusive channels (DC). Although easy to implement, DCs are inefficient for distances longer than tens of nanometers. In contrast, molecular motor-driven nonequilibrium or active transport can drastically increase the range of communication and may permit efficient communication up to tens of micrometers. In this paper, we investigate how active transport influences the efficacy of molecular communication, quantified by the mutual information between transmitted and received signals. We consider two specific scenarios: (a) active transport through relays and (b) active transport through a mixture of active and diffusing particles. In each case, we discuss the efficacy of the communication channel and discuss their potential pitfalls.

P. Rito, Ana Almeida, Andreia Figueiredo et al.

This article presents the deployment and experimentation architecture of the Aveiro Tech City Living Lab (ATCLL) in Aveiro, Portugal. This platform comprises a large number of Internet of Things (IoT) devices with communication, sensing, and computing capabilities. The communication infrastructure, built on fiber and millimeter-wave (mmWave) links, integrates a communication network with radio terminals [WiFi, ITS-G5, cellular vehicular-to-everything, 5G and LoRa(WAN)], multiprotocol, spread throughout 44 connected points of access in the city. Additionally, public transportation has also been equipped with communication and sensing units. All these points combine and interconnect a set of sensors, such as mobility (radars, light detection and rangings (LiDARs), and video cameras) and environmental sensors. Combining edge computing and cloud management to deploy the services and manage the platform, and a data platform to gather and process the data, the living lab supports a wide range of services and applications: IoT, intelligent transport systems (ITSs) and assisted driving, environmental monitoring, emergency and safety, and among others. This article describes the architecture, implementation, and deployment to make the overall platform to work and integrate researchers and citizens. Moreover, it showcases some examples of the performance metrics achieved in the city infrastructure, the data that can be collected, visualized, and used to build services and applications to the cities, and, finally, different use cases in the mobility and safety scenarios.

Dr. S. Srinivasan, Prof. Abhinav Shrivastava, Dr. Ramakrishnan Raman et al.

Crosswalk accidents involving pedestrians remain a major problem in highly populated places. It provides a unique solution to this problem by connecting vehicles with pedestrians through the Internet of Things (IoT) and improving pedestrian safety through vehicle-to-Pedestrian (V2P). V2P communication prevents pedestrian accidents in the proposed system. Smart crossing management systems collect real-time pedestrian and traffic data from IoT sensors. These IoT devices include cameras, sensors, and connections. V2P communicates between vehicles and pedestrians at the crossing. The smart crossing management system improves traffic safety and efficiency and reduces pedestrian accident risk. This system might increase pedestrian safety in high-traffic areas during peak hours. IoT and V2P communication provides more intelligent and linked transportation to the environment, helping smart cities become mobility.

F. Liébana-Cabanillas, S. Molinillo, Miguel Ruiz-Montañez

There is growing interest in our society in making payments using mobile phones as an alternative to using cash, checks or credit cards. The objective of this study is to analyze the status of Near Field Communication (NFC) mobile payment systems in public transportation, as well as the factors that affect users' intentions to continue using said systems. To meet this objective, a personal survey was conducted on a sample of 180 users with experience using this type of system. A comprehensive review of the scientific literature justifies the development of a behavioral model that explains the continuance intention of NFC mobile payments through a structural equation model. The results show that satisfaction, service quality, effort expectancy, and perceived risk are determining factors of the continuance intention to use this technology. Finally, the managerial conclusions and implications offer the companies that manage these public services new business opportunities based on user behaviors.