Special Issue "Vehicular Networks and Applications"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (1 December 2018)

Special Issue Editor

Guest Editor
Dr. Jinhua Guo

Department of Computer & Information Science, University of Michigan-Dearborn, Dearborn, MI 48128, USA
Website | E-Mail
Interests: networking; vehicular networking; data center networking; distributed systems

Special Issue Information

Dear Colleagues,

With the recent developments in short- and medium-range communication, such as DSRC (Dedicated Short Range Communication), as well as in long-range cellular communication networks, vehicles will soon be able to talk to one another, as well as to their environments. By offering real-time traffic information, collision-avoidance assistance, automatic emergency incident notification, or vision enhancement systems, vehicular communications will help drivers to make better informed, more coordinated, and more intelligent decisions, increasing the overall safety and efficiency of transportation systems.

This Special Issue seeks to publish high quality peer-reviewed papers in the area of vehicular networks and applications. The topics cover all types of vehicular communications, including vehicle-to-vehicle, vehicle-to-infrastructure, vehicle-to-pedestrian, and intra-vehicle.

Topics of interest include, but are not limited to:

  • DSRC (Dedicated Short Range Communication)
  • Channel modeling, modulation and coding
  • Congestion control and scalability issues
  • Medium access control protocols
  • Safety and non-safety applications
  • Vehicle-to-vehicle/roadside/pedestrian/cloud communication
  • Vehicular IoT
  • Cellular V2X (e.g., LTE-D, mmWave, 5G)
  • Information and sensor fusion
  • Security and privacy issues
  • Wireless in-car networks
  • Automotive Ethernet

Dr. Jinhua Guo

Guest Editor

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 papers will be 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. Information is an international peer-reviewed open access monthly 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 1000 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

  • DSRC
  • Cellular V2X
  • Connected Vehicles
  • Intra-Vehicle Networks
  • Intelligent Transportation Systems
  • Automotive Ethernet

Published Papers (5 papers)

View options order results:
result details:
Displaying articles 1-5
Export citation of selected articles as:

Research

Jump to: Review

Open AccessArticle Smart Traffic Lights over Vehicular Named Data Networking
Information 2019, 10(3), 83; https://doi.org/10.3390/info10030083
Received: 6 December 2018 / Revised: 21 January 2019 / Accepted: 4 February 2019 / Published: 26 February 2019
PDF Full-text (1881 KB) | HTML Full-text | XML Full-text
Abstract
The existing traffic light system fails to deal with the increase in vehicular traffic requirements due to fixed time programming. Traffic flow suffers from vehicle delay and congestion. A new networking technology called vehicular ad hoc networking (VANET) offers a novel solution for [...] Read more.
The existing traffic light system fails to deal with the increase in vehicular traffic requirements due to fixed time programming. Traffic flow suffers from vehicle delay and congestion. A new networking technology called vehicular ad hoc networking (VANET) offers a novel solution for vehicular traffic management. Nowadays, vehicles communicate with each other (V2V), infrastructure (V2I), or roadside units (V2R) using IP-based networks. Nevertheless, IP-based networks demonstrate low performance with moving nodes as they depend on communication with static nodes. Currently, the research community is studying a new networking architecture based on content name called named data networking (NDN) to implement it in VANET. NDN is suitable for VANET as it sends/receives information based on content name, not content address. In this paper, we present one of VANET’s network applications over NDN, a smart traffic light system. Our system solves the traffic congestion issue as well as reducing the waiting time of vehicles in road intersections. This system replaces the current conventional system with virtual traffic lights (VTLs). Instead of installing traffic lights at every intersection, we utilize a road side unit (RSU) to act as the intersection controller. Instead of a light signal, the RSU collects the orders of vehicles that have arrived or will arrive at the intersection. After processing the orders according to the priority policy, the RSU sends an instant message for every vehicle to pass the intersection or wait for a while. The proposed system mimics a human policeman intersection controlling. This approach is suitable for autonomous vehicles as they only receive signals from the RSU instead of processing many images. We provide a map of future work directions for enhancing this solution to take into account pedestrian and parking issues. Full article
(This article belongs to the Special Issue Vehicular Networks and Applications)
Figures

Figure 1

Open AccessArticle Efficient Security Scheme for Disaster Surveillance UAV Communication Networks
Information 2019, 10(2), 43; https://doi.org/10.3390/info10020043
Received: 4 October 2018 / Revised: 9 January 2019 / Accepted: 24 January 2019 / Published: 29 January 2019
PDF Full-text (1813 KB) | HTML Full-text | XML Full-text
Abstract
The Unmanned Aerial Vehicles (UAVs) play a significant role to alleviate the negative impacts of disasters by providing essential assistance to the rescue and evacuation operations in the affected areas. Then, the reliability of UAV connections and the accuracy of exchanged information are [...] Read more.
The Unmanned Aerial Vehicles (UAVs) play a significant role to alleviate the negative impacts of disasters by providing essential assistance to the rescue and evacuation operations in the affected areas. Then, the reliability of UAV connections and the accuracy of exchanged information are critical parameters. In this paper, we propose networking and security architecture for disaster surveillance UAV system. The networking scheme involves a two-tier cluster network based on IEEE 802.11ah, which can provide traffic isolation between the tiers. The security scheme guarantees the accuracy and availability of the collected information from the disaster area applying fingerprint features and data redundancy techniques; the proposed scheme also utilizes the lightweight Ring-Learning with Errors (Ring-LWE) crypto-system to assure the confidentiality of the transmitted data with low overhead. Full article
(This article belongs to the Special Issue Vehicular Networks and Applications)
Figures

Figure 1

Open AccessArticle Towards Personal Virtual Traffic Lights
Information 2019, 10(1), 32; https://doi.org/10.3390/info10010032
Received: 28 November 2018 / Revised: 9 January 2019 / Accepted: 14 January 2019 / Published: 17 January 2019
Cited by 1 | PDF Full-text (2289 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Traffic control management at intersections, a challenging and complex field of study, aims to strike a balance between safety and efficient traffic control. Nowadays, traffic control at intersections is typically done by traffic light systems which are not optimal and exhibit several drawbacks, [...] Read more.
Traffic control management at intersections, a challenging and complex field of study, aims to strike a balance between safety and efficient traffic control. Nowadays, traffic control at intersections is typically done by traffic light systems which are not optimal and exhibit several drawbacks, such as poor efficiency and real-time adaptability. With the advent of Intelligent Transportation Systems (ITS), vehicles are being equipped with state-of-the-art technology, enabling cooperative decision-making which will certainly overwhelm the available traffic control systems. This solution strongly penalizes users without such capabilities, namely pedestrians, cyclists, and other legacy vehicles. Therefore, in this work, a prototype based on an alternative technology to the standard vehicular communications, Bluetooth Low Energy (BLE), is presented. The proposed framework aims to integrate legacy and modern vehicular communication systems into a cohesive management system. In this framework, the movements of users at intersections are managed by a centralized controller which, through the use of networked retransmitters deployed at intersections, broadcasts alerts and virtual light signalization orders. Users receive the aforementioned information on their own smart devices, discarding the need for dedicated light signalization infrastructures. Field tests, carried out with a real-world implementation, validate the correct operation of the proposed framework. Full article
(This article belongs to the Special Issue Vehicular Networks and Applications)
Figures

Figure 1

Open AccessArticle Accident Prediction System Based on Hidden Markov Model for Vehicular Ad-Hoc Network in Urban Environments
Information 2018, 9(12), 311; https://doi.org/10.3390/info9120311
Received: 22 October 2018 / Revised: 24 November 2018 / Accepted: 5 December 2018 / Published: 7 December 2018
PDF Full-text (4590 KB) | HTML Full-text | XML Full-text
Abstract
With the emergence of autonomous vehicles and internet of vehicles (IoV), future roads of smart cities will have a combination of autonomous and automated vehicles with regular vehicles that require human operators. To ensure the safety of the road commuters in such a [...] Read more.
With the emergence of autonomous vehicles and internet of vehicles (IoV), future roads of smart cities will have a combination of autonomous and automated vehicles with regular vehicles that require human operators. To ensure the safety of the road commuters in such a network, it is imperative to enhance the performance of Advanced Driver Assistance Systems (ADAS). Real-time driving risk prediction is a fundamental part of an ADAS. Many driving risk prediction systems have been proposed. However, most of them are based only on vehicle’s velocity. But in most of the accident scenarios, other factors are also involved, such as weather conditions or driver fatigue. In this paper, we proposed an accident prediction system for Vehicular ad hoc networks (VANETs) in urban environments, in which we considered the crash risk as a latent variable that can be observed using multi-observation such as velocity, weather condition, risk location, nearby vehicles density and driver fatigue. A Hidden Markov Model (HMM) was used to model the correlation between these observations and the latent variable. Simulation results showed that the proposed system has a better performance in terms of sensitivity and precision compared to state of the art single factor schemes. Full article
(This article belongs to the Special Issue Vehicular Networks and Applications)
Figures

Figure 1

Review

Jump to: Research

Open AccessReview Forecasting Issues of Wireless Communication Networks’ Cyber Resilience for An Intelligent Transportation System: An Overview of Cyber Attacks
Information 2019, 10(1), 27; https://doi.org/10.3390/info10010027
Received: 18 November 2018 / Revised: 1 January 2019 / Accepted: 10 January 2019 / Published: 14 January 2019
PDF Full-text (739 KB) | HTML Full-text | XML Full-text
Abstract
During the last decade there has been an essential development of wireless communication technologies for intelligent transportation system (ITS) applications for motor transport; these advanced infocommunication technologies are called vehicular ad hoc networks (VANET). VANET/ITS, in particular, inform and warn drivers about possible [...] Read more.
During the last decade there has been an essential development of wireless communication technologies for intelligent transportation system (ITS) applications for motor transport; these advanced infocommunication technologies are called vehicular ad hoc networks (VANET). VANET/ITS, in particular, inform and warn drivers about possible obstacles, and also the possibility of how to organize coordinated actions. Therefore, any violation of its functioning by cyber attacks automatically influences the safety of people and automotive engineering on the road. The purpose of this article is to provide an analytical overview of cyber attacks on VANET/ITS, presented in state-of-the-art publications on this topic by the prediction of its cyber resistance. We start with an analysis of the top 10 cyber threats, considered according to the following schemes: attack mechanism, vulnerability, damage, object of attack, and a counter measure. We then set out a synergistic approach for assessing the cyber resistance of the forward-looking VANET/ITS conceptual model, formed by the merger of the internet of vehicles and software-defined networking technology. Finally, we identify open issues and associated research opportunities, the main ones being the formalization of threats, vulnerability stratification, the choice of the level of network management centralization and, last but not least, the modeling and prediction of VANET/ITS cyber resistance. Full article
(This article belongs to the Special Issue Vehicular Networks and Applications)
Figures

Figure 1

Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top