The influences of communication models on the simulated effectiveness of V2X applications

Protzmann, Robert; Schünemann, Björn; Radusch, Ilja

doi:10.1109/mcom.2011.6069722

Cited by 15 publications

(6 citation statements)

References 6 publications

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“…Driver behavior is the most active and unruly factor in the road traffic safety system. Accurately and timely identifying drivers' intentions (V2D technologies) and dangerous driving behaviors can not only ensure traffic safety, but also enrich the connotation of collaborative driving [5].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data

Peng

Shao

2018

Complexity

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Risky driving behavior is a major cause of traffic conflicts, which can develop into road traffic accidents, making the timely and accurate identification of such behavior essential to road safety. A platform was therefore established for analyzing the driving behavior of 20 professional drivers in field tests, in which overclose car following and lane departure were used as typical risky driving behaviors. Characterization parameters for identification were screened and used to determine threshold values and an appropriate time window for identification. A neural network-Bayesian filter identification model was established and data samples were selected to identify risky driving behavior and evaluate the identification efficiency of the model. The results obtained indicated a successful identification rate of 83.6% when the neural network model was solely used to identify risky driving behavior, but this could be increased to 92.46% once corrected by the Bayesian filter. This has important theoretical and practical significance in relation to evaluating the efficiency of existing driver assist systems, as well as the development of future intelligent driving systems.

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Section: Introductionmentioning

confidence: 99%

Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data

Peng

Shao

2018

Complexity

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“…future Intelligent Transportation Systems (ITS). Dedicated Short-Range Communications (DSRC) has been around for a decade and it is based on the IEEE 802.11p technology, which appeared as the most promising technique for V2X communication [5], [6]. However, recent studies have preferred using LTE as the V2X technology [7], [8], mainly because LTE cellular network infrastructure already exists [9].…”

Section: Introductionmentioning

confidence: 99%

System Level Performance Evaluation of LTE-V2X Network

Luoto,

Bennis,

Pirinen

et al. 2016

Preprint

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Vehicles are among the fastest growing type of connected devices. Therefore, there is a need for Vehicle-to-Everything (V2X) communication i.e. passing of information from a Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) and vice versa. In this paper, the main focus is on the communication between vehicles and road side units (RSUs) commonly referred to as V2I communication in a multi-lane freeway scenario. Moreover, we analyze network related bottlenecks such as the maximum number of vehicles that can be supported when coverage is provided by the Long Term Evolution Advanced (LTE-A) network. The performance evaluation is assessed through extensive system-level simulations. Results show that new resource allocation and interference mitigation techniques are needed in order to achieve the required high reliability requirements, especially when network load is high.

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“…Wireless access in vehicular environment (WAVE) is a dedicated short-range communication (DSRC) radio technique for supporting vehicular-to-vehicular (V2V) and vehicularto-infrastructure (V2I) communications. This combination technique is commonly referred to as vehicular-to-anything (V2X) communication [1]. In particular, inter-vehicular communications rely on the DSRC multi-hop mode, which exploits the flooding of vehicular data.…”

Section: Introductionmentioning

confidence: 99%

Density-Based Opportunistic Broadcasting Protocol for Emergency Situations in V2X Networks

Park¹,

Singh²,

Piamrat³

2014

Journal of information and communication convergence engineerin

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Vehicular-to-anything (V2X) technology is attractive for wireless vehicular ad-hoc networks (VANETs) because it allows for opportunistic choice of a vehicular protocol between vehicular-to-vehicular (V2V) and vehicular-to-infrastructure (V2I) communications. In particular, achieving seamless connectivity in a VANET with nearby network infrastructure is challenging. In this paper, we propose a density-based opportunistic broadcasting (DOB) protocol, in which opportunistic connectivity is carried out by using the nearby infrastructure and opposite vehicles for solving the problems of disconnection and long end-toend delay times. The performance evaluation results indicate that the proposed DOB protocol outperforms the considered comparative conventional schemes, i.e., the shortest path protocol and standard mobile WiMAX, in terms of the average endto-end delay, packet delivery ratio, handover latency, and number of lost packets.

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The influences of communication models on the simulated effectiveness of V2X applications

Cited by 15 publications

References 6 publications

Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data

Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data

System Level Performance Evaluation of LTE-V2X Network

Density-Based Opportunistic Broadcasting Protocol for Emergency Situations in V2X Networks

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