Vehicles of the Future: A Survey of Research on Safety Issues

Bila, Cem; Sivrikaya, Fikret; Khan, Manzoor Ahmed; Albayrak, Şahin

doi:10.1109/tits.2016.2600300

Cited by 122 publications

(66 citation statements)

References 58 publications

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“…Various wireless communication technologies were proposed to support V2V and V2I communications. These technologies include IEEE 802.11 (WLAN or WiFi), IEEE 802.11p Dedicated Short Range Communications (DSRC) and Wireless Access in a Vehicular Environment (WAVE) [26] and the aforementioned 2G-4G communication technologies.…”

Section: Data Sources and Necessities Of Bdamentioning

confidence: 99%

Big Data Analytics for Large-scale Wireless Networks

et al. 2019

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The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large scale wireless networks. Big data of large scale wireless networks has the key features of wide variety, high volume, real-time velocity and huge value leading to the unique research challenges that are different from existing computing systems. In this paper, we present a survey of the state-of-art big data analytics (BDA) approaches for large scale wireless networks. In particular, we categorize the life cycle of BDA into four consecutive stages: Data Acquisition, Data Preprocessing, Data Storage and Data Analytics. We then present a detailed survey of the technical solutions to the challenges in BDA for large scale wireless networks according to each stage in the life cycle of BDA. Moreover, we discuss the open research issues and outline the future directions in this promising area.

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Section: Data Sources and Necessities Of Bdamentioning

confidence: 99%

Big Data Analytics for Large-scale Wireless Networks

et al. 2019

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“…(1) The vehicle with greater signal strength wins the priority and has the ability to beat another signal. (2) The probability that the ith vehicle signal beat the jth another signal is assumed equal from both vehicle. (3) The outcome is only based on the signal strength.…”

Section: League Championship Priority Scheduling Algorithmmentioning

confidence: 99%

“…The wireless sensor network, the wireless ad hoc network, and partially the future fifth generation technology are highly focused on the development of intelligent transportation system (ITS) . The main function of communication in transportation system is specialized for some requirements such as increasing efficiency, safety, and reliability . In vehicle communication, the vehicles cannot track each other and it must be secured.…”

Section: Introductionmentioning

confidence: 99%

“…1 The main function of communication in transportation system is specialized for some requirements such as increasing efficiency, safety, and reliability. 2 In vehicle communication, the vehicles cannot track each other and it must be secured. For example, in the vehicle, drivers have a 360-degree awareness about the hazard and they cannot see long distance.…”

Section: Introductionmentioning

confidence: 99%

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A hybrid V2V system for collision‐free high‐speed internet access in intelligent transportation system

Guchhait

Maji

Kandar

2018

Trans Emerging Tel Tech

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Vehicle‐to‐vehicle communication can be effective in avoiding accident and traffic collision using dedicated short‐range communication (DSRC) in intelligent transportation systems. The problem of DSRC is it works in a short range of 1000 m and its frequency band cannot support a large number of users simultaneously, which leads to multiaccess interference, (MAI) noise, and low transmission rate. Multiaccess interference is referred as the overlapping of signals from different users in the network. A combination of the Worldwide Interoperability for Microwave Access (WiMAX) and the DSRC is proposed to improve the quality of service and network congestion using multiuser detection (MUD) and scheduling technique. This paper proposes a scheduling algorithm called league championship priority scheduling algorithm. In the league championship priority scheduling algorithm, the message will be sent on priority basis, depending on the bandwidth values and network coverage, so that MAI can be avoided. Moreover, MUD plays a major role in identifying the active users and nonactive users based on the condition of the threshold frequency and bandwidth. Thus, the implementation result shows that the proposed algorithm provides high‐transmission data rate and multiaccess interference can be avoided. The performance is evaluated to validate and estimate the performance of MUD and scheduling algorithm.

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“…Because of this uniqueness of a dedicated network, the communication scheme has the chance to be optimized further with low complexity and without loss of optimality [16]. (iii) Guaranteeing QoS for ultrareliable low latency applications: safety-critical vehicular applications can be broadly classified as vehicle detection, road detection, lane detection, pedestrian detection, drowsiness detection, collision avoidance, and so forth [17]. All these applications assist drivers and reduce potential accident risks and therefore require ultrareliability and low latency (e.g., the allowable latency for Traffic Signal Violation Warning (V2I) is 100 ms, while the allowable latency for vehicle collision warning (V2V) is 20 ms).…”

Section: Gsm-r Qos Parameter For Etcs Requirementmentioning

confidence: 99%

Wireless Communications in Smart Rail Transportation Systems

Briso-Rodríguez

Guan

Yin

et al. 2017

Wireless Communications and Mobile Computing

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Railway, subway, airplane, and other transportation systems have drawn an increasing interest on the use of wireless communications for critical and noncritical services to improve performance, reliability, and passengers experience. Smart transportation systems require the use of critical communications for operation and control, and wideband services can be provided using noncritical communications. High speed train (HST) is one of the best test cases for the analysis of communication links and specification of the general requirements for train control and supervision, passenger communications, and onboard and infrastructure wireless sensors. In this paper, we analyze in detail critical and noncritical networks mainly using the HST as a test case. First, the different types of links for smart rail transportation are described, specifying the main requirements of the transportation systems, communications, and their applications for different services. Then, we propose a network architecture and requirements of the communication technologies for critical and noncritical data. Finally, an analysis is made for the future technologies, including the fifth-generation (5G) communications, millimeter wave (mmWave), terahertz (THz), and satellites for critical and high-capacity communications in transportation.

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Vehicles of the Future: A Survey of Research on Safety Issues

Cited by 122 publications

References 58 publications

Big Data Analytics for Large-scale Wireless Networks

Big Data Analytics for Large-scale Wireless Networks

A hybrid V2V system for collision‐free high‐speed internet access in intelligent transportation system

Wireless Communications in Smart Rail Transportation Systems

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