scholarly journals VLC Network Design for High Mobility Users in Urban Tunnels

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 88
Author(s):  
Edmundo Torres-Zapata ◽  
Victor Guerra ◽  
Jose Rabadan ◽  
Martin Luna-Rivera ◽  
Rafael Perez-Jimenez
Keyword(s):  
Network Design ◽  
Intelligent Transportation Systems ◽  
High Speed ◽  
Vehicular Networks ◽  
Low Cost ◽  
High Mobility ◽  
Visible Light Communication ◽  
Transportation Systems ◽  
System Level ◽  
On The Road

Current vehicular systems require real-time information to keep drivers safer and more secure on the road. In addition to the radio frequency (RF) based communication technologies, Visible Light Communication (VLC) has emerged as a complementary way to enable wireless access in intelligent transportation systems (ITS) with a simple design and low-cost deployment. However, integrating VLC in vehicular networks poses some fundamental challenges. In particular, the limited coverage range of the VLC access points and the high speed of vehicles create time-limited links that the existing handover procedures of VLC networks can not be accomplished timely. Therefore, this paper addresses the problem of designing a vehicular VLC network that supports high mobility users. We first modify the traditional VLC network topology to increase uplink reliability. Then, a low-latency handover scheme is proposed to enable mobility in a VLC network. Furthermore, we validate the functionality of the proposed VLC network design method by using system-level simulations of a vehicular tunnel scenario. The analysis and the results show that the proposed method provides a steady connection, where the vehicular node is available more than 99% of the time regardless of the number of vehicular nodes on this network. Additionally, the system is able to achieve a Frame-Error-Rate (FER) performance lower than 10−3.

Challenges and Opportunities of VLC Application in Intelligent Transportation Systems

2021 ◽  
pp. 1051-1064
Author(s):  
Aleksandra Kostic-Ljubisavljevic ◽  
Branka Mikavica
Keyword(s):  
Visible Light ◽  
Intelligent Transportation Systems ◽  
Early Stage ◽  
Low Cost ◽  
Large Data ◽  
Visible Light Communication ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Light Spectrum ◽  
Challenges And Opportunities

With the development of light emitting diodes (LEDs), the communication in visible light spectrum, visible light communication (VLC), becomes an alternative to the existing wireless technologies. Integration of VLC systems with intelligent transportation systems (ITS) can significantly improve many aspects of transportation and traffic. The use of unlicensed bandwidth and wider implementation of VLC LED lighting, both in infrastructure and in vehicles, provide an energy-efficient data transmission with sufficiently large data rates at low cost. The application of VLC systems is still at an early stage of the development. However, due to numerous advantages, the wider adoption of VLC systems is expected in near future. This chapter presents an analysis of the possibilities of VLC application in ITS scenarios. Main characteristics of VLC in ITS in terms of architecture, modulation and standardization are addressed. Some challenges and open issues are also emphasized.

scholarly journals Low-Latency VLC System with Fresnel Receiver for I2V ITS Applications

2020 ◽  
Vol 9 (3) ◽  
pp. 35 ◽  
Author(s):  
Tassadaq Nawaz ◽  
Marco Seminara ◽  
Stefano Caputo ◽  
Lorenzo Mucchi ◽  
Jacopo Catani
Keyword(s):  
Intelligent Transportation Systems ◽  
Low Cost ◽  
Red Light ◽  
Visible Light Communication ◽  
Fresnel Lens ◽  
Transportation Systems ◽  
Packet Error Rate ◽  
Low Latency ◽  
Traffic Light

This work presents a characterization of a low-cost, low-latency Visible Light Communication (VLC) prototype for infrastructure-to-vehicle (I2V) communication for future Intelligent Transportation Systems (ITS). The system consists of a regular traffic light as a transmitter (the red light is modulated with the information), and a photodetector as a receiver. The latter is equipped with low-cost Fresnel lenses as condensers, namely, 1 ′ ′ Fresnel and 2 ′ ′ Fresnel, to increase the optical gain of the system at the receiver. The system is capable of Active Decode and Relay (ADR) of information to further incoming units. The experimental characterization of amplitude and Packet Error Rate (PER) for the proposed system has been performed for distances up to 50 m. The results show that by incorporating the 2 ′ ′ Fresnel lens in the photodetector, an error free ( PER ≤ 10 − 5 ) I2V communication is established up to 50 m. Furthermore, the prototype can be used for both broadcast and beaconing transmission modes. This low-cost VLC-based system could offer sub-millisecond latency in the full ADR process for distances up to 36 m, which makes it suitable for integration in Cellular-V2X (C-V2X) and 5G platforms.

scholarly journals A Multi-Loop Vehicle-Counting Method under Gray Mode and RGB Mode

2021 ◽  
Vol 11 (15) ◽  
pp. 6831
Author(s):  
Yue Chen ◽  
Jian Lu
Keyword(s):  
Intelligent Transportation Systems ◽  
High Efficiency ◽  
Road Traffic ◽  
Low Cost ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Counting Method ◽  
Moving Vehicle ◽  
Available Information

With the rapid development of road traffic, real-time vehicle counting is very important in the construction of intelligent transportation systems (ITSs). Compared with traditional technologies, the video-based method for vehicle counting shows great importance and huge advantages in its low cost, high efficiency, and flexibility. However, many methods find difficulty in balancing the accuracy and complexity of the algorithm. For example, compared with traditional and simple methods, deep learning methods may achieve higher precision, but they also greatly increase the complexity of the algorithm. In addition to that, most of the methods only work under one mode of color, which is a waste of available information. Considering the above, a multi-loop vehicle-counting method under gray mode and RGB mode was proposed in this paper. Under gray and RGB modes, the moving vehicle can be detected more completely; with the help of multiple loops, vehicle counting could better deal with different influencing factors, such as driving behavior, traffic environment, shooting angle, etc. The experimental results show that the proposed method is able to count vehicles with more than 98.5% accuracy while dealing with different road scenes.

scholarly journals Multi-Target Detection Method Based on Variable Carrier Frequency Chirp Sequence

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3386 ◽  
Author(s):  
Wei Wang ◽  
Jinsong Du ◽  
Jie Gao
Keyword(s):  
Intelligent Transportation Systems ◽  
Simple Structure ◽  
Low Cost ◽  
Doppler Frequency ◽  
Transportation Systems ◽  
Practical Application ◽  
Frequency Aliasing ◽  
Application Requirements ◽  
Relationship Of ◽  
Cw Radar

Continuous waveform (CW) radar is widely used in intelligent transportation systems, vehicle assisted driving, and other fields because of its simple structure, low cost and high integration. There are several waveforms which have been developed in the last years. The chirp sequence waveform has the ability to extract the range and velocity parameters of multiple targets. However, conventional chirp sequence waveforms suffer from the Doppler ambiguity problem. This paper proposes a new waveform that follows the practical application requirements, high precision requirements, and low system complexity requirements. The new waveform consists of two chirp sequences, which are intertwined to each other. Each chirp signal has the same frequency modulation, the same bandwidth and the same chirp duration. The carrier frequencies are different and there is a frequency shift which is large enough to ensure that the Doppler frequencies for the same moving target are different. According to the sign and numerical relationship of the Doppler frequencies (possibly frequency aliasing), the Doppler frequency ambiguity problem is solved in eight cases. Theoretical analysis and simulation results verify that the new radar waveform is capable of measuring range and radial velocity simultaneously and unambiguously, with high accuracy and resolution even in multi-target situations.

scholarly journals Privacy Preserving Data Transmission in Malicious Vehicular Adhoc Networks

2021 ◽  
Vol 12 (3) ◽  
pp. 5757-5761
Author(s):  
Mrs.R.M.Rajeshwari Et. al.
Keyword(s):  
Data Storage ◽  
Data Transmission ◽  
Intelligent Transportation Systems ◽  
Privacy Preservation ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Third Party ◽  
Mobile Nodes ◽  
Legitimate User ◽  
On The Road

Vehicle Adhoc Network is deployed on the road, where vehicles constitute mobile nodes in which active security and intelligent transportation are important applications of VANET. VANETs are a key part of the intelligent transportation systems (ITS) framework. Sometimes, VANETs are referred as Intelligent Transportation Networks. However, authentication and privacy of users are still two vital issues in VANETs.  In the traditional mode, the transactional data storage provides no distributed and decentralized security, so that the third party initiates the dishonest behaviors possibly. VANET has  temporary participants , communication between vehicles are short-lived messages. Possible situation might happens , adversary may play as an legitimate user and able to perform malicious activity .To address these challenges this paper proposes timestamp based message between users to  perform secure data transmission and give the negligible probability of the attacker. With the help of Certificate Authority (CA) and the RoadSide Units (RSUs), our proposal attains the confidentiality and  trace the identity of the unauthenticated vehicle in the anonymous announcements as well. Finally, through the theoretical analysis and simulations, our scheme is able to implement a secure VANET framework with accountability and privacy preservation

A Differential Evolution Based Multiclass Vehicle Detector and Classifier for Urban Environments

2017 ◽  
Vol 8 (3) ◽  
pp. 19-42 ◽  
Author(s):  
Deepak Dawar ◽  
Simone A. Ludwig
Keyword(s):  
Differential Evolution ◽  
Intelligent Transportation Systems ◽  
Classification System ◽  
Flow Analysis ◽  
Transportation Systems ◽  
Urban Environments ◽  
Vehicle Classification ◽  
Discrete Parameter ◽  
On The Road ◽  
Transportation Agencies

Video analytics is emerging as a high potential area supplementing intelligent transportation systems (ITSs) with wide ranging applications from traffic flow analysis to surveillance. Object detection and classification, as a sub part of a video analytical system, could potentially help transportation agencies to analyze and respond to traffic incidents in real time, plan for possible future cascading events, or use the classification data to design better roads. This work presents a specialized vehicle classification system for urban environments. The system is targeted at the analysis of vehicles, especially trucks, in urban two lane traffic, to empower local transportation agencies to decide on the road width and thickness. The main thrust is on the accurate classification of the vehicles detected using an evolutionary algorithm. The detector is backed by a differential evolution (DE) based discrete parameter optimizer. The authors show that, though employing DE proves expensive in terms of computational cycles, it measurably improves the accuracy of the classification system.

scholarly journals A Survey on Fault Tolerance Techniques for Wireless Vehicular Networks

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1358 ◽  
Author(s):  
João Almeida ◽  
João Rufino ◽  
Muhammad Alam ◽  
Joaquim Ferreira
Keyword(s):  
Fault Tolerance ◽  
Intelligent Transportation Systems ◽  
Vehicular Networks ◽  
Road Traffic ◽  
Fault Tolerant ◽  
Human Life ◽  
Transportation Systems ◽  
Vehicular Communications ◽  
Self Driving Cars ◽  
Meta Analyses

Future intelligent transportation systems (ITS) hold the promise of supporting the operation of safety-critical applications, such as cooperative self-driving cars. For that purpose, the communications among vehicles and with the road-side infrastructure will need to fulfil the strict real-time guarantees and challenging dependability requirements. These safety requisites are particularly important in wireless vehicular networks, where road traffic presents several threats to human life. This paper presents a systematic survey on fault tolerance techniques in the area of vehicular communications. The work provides a literature review of publications in journals and conferences proceedings, available through a set of different search databases (IEEE Xplore, Web of Science, Scopus and ScienceDirect). A systematic method, based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA) Statement was conducted in order to identify the relevant papers for this survey. After that, the selected articles were analysed and categorised according to the type of redundancy, corresponding to three main groups (temporal, spatial and information redundancy). Finally, a comparison of the core features among the different solutions is presented, together with a brief discussion regarding the main drawbacks of the existing solutions, as well as the necessary steps to provide an integrated fault-tolerant approach to the future vehicular communications systems.

scholarly journals Eco-Efficient Mobility in Smart City Scenarios

2020 ◽  
Vol 12 (20) ◽  
pp. 8443
Author(s):  
Ramon Sanchez-Iborra ◽  
Luis Bernal-Escobedo ◽  
José Santa
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Smart Cities ◽  
Low Cost ◽  
Transportation Systems ◽  
Area Network ◽  
Wide Area Network ◽  
Fully Integrated ◽  
Personal Mobility ◽  
Traffic Efficiency

Cooperative-Intelligent Transportation Systems (C-ITS) have brought a technological revolution, especially for ground vehicles, in terms of road safety, traffic efficiency, as well as in the experience of drivers and passengers. So far, these advances have been focused on traditional transportation means, leaving aside the new generation of personal vehicles that are nowadays flooding our streets. Together with bicycles and motorcycles, personal mobility devices such as segways or electric scooters are firm sustainable alternatives that represent the future to achieve eco-friendly personal mobility in urban settings. In a near future, smart cities will become hyper-connected spaces where these vehicles should be integrated within the underlying C-ITS ecosystem. In this paper, we provide a wide overview of the opportunities and challenges related to this necessary integration as well as the communication solutions that are already in the market to provide these moving devices with low-cost and efficient connectivity. We also present an On-Board Unit (OBU) prototype with different communication options based on the Low Power Wide Area Network (LPWAN) paradigm and several sensors to gather environmental information to facilitate eco-efficiency services. As the attained results suggest, this module allows personal vehicles to be fully integrated in smart city environments, presenting the possibilities of LoRaWAN and Narrow Band-Internet of Things (NB-IoT) communication technologies to provide vehicle connectivity and enable mobile urban sensing.

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