Cooperative-Intelligent Transport Systems: New Challenges

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: closed (30 January 2024) | Viewed by 5513

Special Issue Editors

Département Mathématiques, Université de Reims Champagne-Ardenne, 51454 Reims, France
Interests: wireless sensor networks; VANET; routing; C-ITS; cooperative intelligent transport systems
Special Issues, Collections and Topics in MDPI journals
Escuela Tecnica Superior de Ingenieros de Telecomunicacion, Madrid, 28040 Madrid, Spain
Interests: embedded systems; wireless sensor networks; cognitive radio; wireless human networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Automated and connected vehicles are currently both promising and challenging. Many objectives are expected to support new transportation aspects, such as platooning, better green light management, etc. However, there are still many areas that need to be addressed in respect of future co-operation between autonomous vehicles and other vehicles. In order to assist with the dissemination of the research and developments in such areas, this Special Issue aims to attract contributions on various C-ITS-related topics, such as:

  • Communications between vehicles and from vehicle to anything (infrastructure, pedestrians, motocycles, etc.);
  • Security and privacy mechanisms adapted to vechicle communications;
  • New use cases to be considered within smart cities and smart roads (eco and green driving, road worker protection, multi-modal co-operation, etc.).

A range of different types of studies are welcome in this Special Issue, including surveys, research papers, and results regarding applied solutions papers.The dissemination of research results, testing results, and applications developments is very important for better deployment of intelligent vehicles in the future.

Dr. Hacene Fouchal
Dr. Alvaro Araujo Pinto
Guest Editors

Manuscript Submission Information

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Keywords

  • VANETs
  • C-ITS
  • V2X
  • security
  • privacy

Published Papers (3 papers)

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Research

14 pages, 1900 KiB  
Article
Efficient Traffic Flow Guidance Feedback Strategy Considering Drivers’ Disobedience in ITS
Appl. Sci. 2023, 13(9), 5788; https://doi.org/10.3390/app13095788 - 08 May 2023
Viewed by 799
Abstract
Some research claims that the cultural features of people may have a major impact on driving behavior and can play a serious role in the driving safety. Indeed, unlike machines that follow the instructions strictly, drivers have their own will and may disobey; [...] Read more.
Some research claims that the cultural features of people may have a major impact on driving behavior and can play a serious role in the driving safety. Indeed, unlike machines that follow the instructions strictly, drivers have their own will and may disobey; they sometimes do things completely opposite to the instructions given by the central vehicle system. On the other side, it is proven that the traffic flow guidance feedback strategy has a significant effect on improving road traffic flow capacity. This paper deals with traffic flow dynamics while real-time information is integrated. Drivers’ obedience rate to the instructions provided by an intelligent transportation system (ITS) is also considered. In addition, we implemented the process of pre-filtering the drivers for better managing the traffic, to the best of our knowledge; thus this process is not considered in the related literature. We introduced a dynamic weighted vehicle density feedback strategy (DWVDFS) with SUMO software 19.386-16 for determining whether traffic congestion happens or not. The simulation model considers three-route scenarios with one entrance and one exit. The added value of the proposed pre-filtering process and DWVDFS is also evaluated. Full article
(This article belongs to the Special Issue Cooperative-Intelligent Transport Systems: New Challenges)
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41 pages, 980 KiB  
Article
A Novel Cloud Approach for Connected Vehicles
Appl. Sci. 2023, 13(9), 5514; https://doi.org/10.3390/app13095514 - 28 Apr 2023
Viewed by 905
Abstract
Cooperative intelligent transport systems (C-ITSs) are being deployed all around the world. Shortly, in addition to vehicles, bicycles, pedestrians, buses, and all moving equipment will be compatible with C-ITS. These systems are connected through wireless local area networks based on WIFI IEEE 802.11p. [...] Read more.
Cooperative intelligent transport systems (C-ITSs) are being deployed all around the world. Shortly, in addition to vehicles, bicycles, pedestrians, buses, and all moving equipment will be compatible with C-ITS. These systems are connected through wireless local area networks based on WIFI IEEE 802.11p. The large number of C-ITSs and services will lead to a glut in the bandwidth of wireless networks. To overcome this limitation, we propose in this paper a new approach using the information-centric networking (ICN) paradigm which allows vehicles to communicate with the cloud environment. This scheme is denoted by vehicular central data networking (GeoVCDN). Our approach aims to reduce bandwidth consumption and improve data freshness by taking benefit from the existing application beacons and the geographical routing used by C-ITS actors. We have compared the performances (in terms of the network overhead and data freshness) of our solution to two other well-known ICN-based solutions. Each of them represents one of ICN categories, in particular, rendez-vous network (RENE) and named data networking (NDN). To do so, we have proposed a probabilistic model that allows us to evaluate the freshness and the load of the network. Furthermore, we have implemented these methods in a simulator. Our proposal outperforms the other methods in terms of network overhead and data freshness. Full article
(This article belongs to the Special Issue Cooperative-Intelligent Transport Systems: New Challenges)
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13 pages, 4376 KiB  
Article
Usage of V2X Applications in Road Tunnels
Appl. Sci. 2022, 12(9), 4624; https://doi.org/10.3390/app12094624 - 04 May 2022
Cited by 10 | Viewed by 2922
Abstract
Many smart city applications work with calculated position and time using the Global Navigation Satellite System (GNSS) signals for enhanced precision. However, there are many places where the availability of GNSS is limited, e.g., road tunnels, which are an essential part of transport [...] Read more.
Many smart city applications work with calculated position and time using the Global Navigation Satellite System (GNSS) signals for enhanced precision. However, there are many places where the availability of GNSS is limited, e.g., road tunnels, which are an essential part of transport infrastructure. Tunnels also require greater attention and greater importance of approaches to ensure the safety and security aspects of traffic. The safety, distribution of information, awareness, and smooth traffic can also be ensured by V2X applications, but the current position is also needed. An experimental analysis of data connection and communication availability was performed in the Blanka tunnel (Prague) and its surroundings. The main objective of the work was to find and clearly describe the tunnel blind spots, with an emphasis on communication between cars and potentially between cars and infrastructure. This article summarizes the evaluation results of the V2X tunnel experimental test, the outputs from the analysis of these blind spots, and it provides a future perspective and suggestions that make tunnels smart by using advanced positioning approaches. Full article
(This article belongs to the Special Issue Cooperative-Intelligent Transport Systems: New Challenges)
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