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Future Internet
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Vehicular Networking in Intelligent Transportation Systems
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Vehicular Networking in Intelligent Transportation Systems

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Network Virtualization and Edge/Fog Computing".

Deadline for manuscript submissions: closed (20 March 2024) | Viewed by 7134

Special Issue Editor

Dr. Manabu Tsukada

E-Mail Website
Guest Editor
Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Interests: intelligent transport systems; cooperative ITS; vehicular networking; V2X for autonomous driving; mobile ad hoc network; vehicular network (VANET)

Special Issue Information

Dear Colleagues,

Autonomous driving technology plays a central role in ITS technology to solve the problems of loss of human life, air pollution, energy consumption, and time loss in road traffic. However, standalone autonomous driving has the same limitations as human drivers because it replaces the driver's sensory organs, thinking ability, and operating ability with sensors, computers, and driving devices. To overcome these limitations, researchers and developers focus on connected cooperative automated mobility (CCAM), which combines technologies from the connected car, cooperative ITS, and automated driving fields, which have been studied and developed separately until now. CCAM aims to achieve a level of safety and efficiency impossible with human driving imitation. This Special Issue aims to report network technologies' contributions to supporting autonomous vehicles. 

Dr. Manabu Tsukada
Guest Editor

Manuscript Submission Information

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Keywords

  •  connected cooperative and automated mobility
  •  cooperative driving automation
  •  cooperative perception
  •  maneuver coordination
  •  infrastructure support for autonomous driving
  •  vehicle-to-Everything (V2X) and 5G systems
  •  edge computing
  •  its standards and deployment
  •  security and privacy
  •  simulation and digital twin

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Published Papers (3 papers)

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Research

17 pages, 2519 KiB  
Article
SDN-Based Secure Common Emergency Service for Railway and Road Co-Existence Scenarios
by Radheshyam Singh, Leo Mendiboure, José Soler, Michael Stübert Berger, Tidiane Sylla, Marion Berbineau and Lars Dittmann
Future Internet 2024, 16(4), 122; https://doi.org/10.3390/fi16040122 - 2 Apr 2024
Viewed by 1625
Abstract
In the near future, there will be a greater emphasis on sharing network resources between roads and railways to improve transportation efficiency and reduce infrastructure costs. This could enable the development of global Cooperative Intelligent Transport Systems (C-ITSs). In this paper, a software-defined [...] Read more.
In the near future, there will be a greater emphasis on sharing network resources between roads and railways to improve transportation efficiency and reduce infrastructure costs. This could enable the development of global Cooperative Intelligent Transport Systems (C-ITSs). In this paper, a software-defined networking (SDN)-based common emergency service is developed and validated for a railway and road telecommunication shared infrastructure. Along with this, the developed application is capable of reducing the chances of distributed denial-of-service (DDoS) situations. A level-crossing scenario is considered to demonstrate the developed solution where railway tracks are perpendicular to the roads. Two cases are considered to validate and analyze the developed SDN application for common emergency scenarios. In case 1, no cross-communication is available between the road and railway domains. In this case, emergency message distribution is carried out by the assigned emergency servers with the help of the SDN controller. In case 2, nodes (cars and trains) are defined with two wireless interfaces, and one interface is reserved for emergency data communication. To add the DDoS resiliency to the developed system the messaging behavior of each node is observed and if an abnormality is detected, packets are dropped to avoid malicious activity. Full article
(This article belongs to the Special Issue Vehicular Networking in Intelligent Transportation Systems)
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20 pages, 806 KiB  
Article
A Method for Mapping V2X Communication Requirements to Highly Automated and Autonomous Vehicle Functions
by Arpad Takacs and Tamas Haidegger
Future Internet 2024, 16(4), 108; https://doi.org/10.3390/fi16040108 - 25 Mar 2024
Cited by 2 | Viewed by 2567
Abstract
The significance of V2X (Vehicle-to-Everything) technology in the context of highly automated and autonomous vehicles can hardly be overestimated. While V2X is not considered a standalone technology for achieving high automation, it is recognized as a safety-redundant component in automated driving systems. This [...] Read more.
The significance of V2X (Vehicle-to-Everything) technology in the context of highly automated and autonomous vehicles can hardly be overestimated. While V2X is not considered a standalone technology for achieving high automation, it is recognized as a safety-redundant component in automated driving systems. This article aims to systematically assess the requirements towards V2X input data to highly automated and autonomous systems that can individually, or in combination with other sensors, enable certain levels of autonomy. It addresses the assessment of V2X input data requirements for different levels of autonomy defined by SAE International, regulatory challenges, scalability issues in hybrid environments, and the potential impact of Internet of Things (IoT)-based information in non-automotive technical fields. A method is proposed for assessing the applicability of V2X at various levels of automation based on system complexity. The findings provide valuable insights for the development, deployment and regulation of V2X-enabled automated systems, ultimately contributing to enhanced road safety and efficient mobility. Full article
(This article belongs to the Special Issue Vehicular Networking in Intelligent Transportation Systems)
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29 pages, 4818 KiB  
Article
Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X PC5 and DSRC
by Ihtisham Khalid, Vasilis Maglogiannis, Dries Naudts, Adnan Shahid and Ingrid Moerman
Future Internet 2024, 16(4), 107; https://doi.org/10.3390/fi16040107 - 23 Mar 2024
Cited by 2 | Viewed by 2215
Abstract
Cooperative communications advancements in Vehicular-to-Everything (V2X) are bolstering the autonomous driving paradigm. V2X nodes are connected through communication technology, such as a short-range communication mode (Dedicated Short Range Communication (DSRC) and Cellular-V2X) or a long-range communication mode (Uu). Conventional vehicular networks employ static [...] Read more.
Cooperative communications advancements in Vehicular-to-Everything (V2X) are bolstering the autonomous driving paradigm. V2X nodes are connected through communication technology, such as a short-range communication mode (Dedicated Short Range Communication (DSRC) and Cellular-V2X) or a long-range communication mode (Uu). Conventional vehicular networks employ static wireless vehicular communication technology without considering the traffic load on any individual V2X communication technology and the traffic dynamics in the vicinity of the V2X node, and are hence inefficient. In this study, we investigate hybrid V2X communication and propose an autonomous and intelligent technology selection algorithm using a decision tree. The algorithm uses the information from the received Cooperative Intelligent Transport Systems (C-ITS) Cooperative Awareness Messages (CAMs) to collect statistics such as inter vehicular distance, one-way end-to-end latency and CAM density. These statistics are then used as input for the decision tree for selecting the appropriate technology (DSRC, C-V2X PC5 or 5G) for the subsequent scheduled C-ITS message transmission. The assessment of the intelligent hybrid V2X algorithm’s performance in our V2X test setup demonstrates enhancements in one-way end-to-end latency, reliability, and packet delivery rate when contrasted with the conventional utilization of static technology. Full article
(This article belongs to the Special Issue Vehicular Networking in Intelligent Transportation Systems)
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