Effect of minimum headway distance on connectivity of VANETs

Abuelenin, Sherif M.; Abul-Magd, A. Y.

doi:10.1016/j.aeue.2015.01.011

Cited by 18 publications

(6 citation statements)

References 27 publications

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“…In VANETs, the constructs use various applications (Lee et al , 2012). The VANETs aims at establishing safety on the road (Abuelenin and Abul-Magd, 2015). Therefore, this study’s research model considers VANET as a dependent variable of cost, security and weather conditions affecting the success of SCM systems.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

Zeraati¹,

Rajabion

Molavi

et al. 2019

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Purpose This research specifies the factors impacting on the success of supply chain management (SCM) systems in the organizations. This paper aims to assess the effect of knowledge sharing, the vehicular ad hoc network (VANET), radio frequency identification technology (RFID) and near field communications (NFC) and the social capabilities of information technology (IT) and information and communication technology (ICT)on the success of the SCM systems and the simplification of the SCM challenges and other factors affecting its success. Design/methodology/approach A questionnaire is designed for measuring the elements of the proposed model. The questionnaires are revised by experts with experiences in SCM. For statistical analysis, SPSS 24.0 and SMART- PLS (partial least squares) 3.2.6 software package are used. The structural equation modeling (SEM) analysis procedure is conducted in two stages. The reliability analysis and confirmatory factor for analyzing the dimensions and items are included in the first stage. The second stage involves evaluating the assumptions through the SEM. Findings The results have depicted that four variables (knowledge sharing, VANET, RFID and NFC, and the social capabilities of using IT) affect the success of SCM systems. Originality/value This research specifies the factors impacting on the success of SCM in the organizations. These technologies aid companies in improving their performance in the SCM and facilitating coherence and collaboration.

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Section: Research Model and Hypothesesmentioning

confidence: 99%

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

Zeraati¹,

Rajabion

Molavi

et al. 2019

View full text Add to dashboard Cite

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“…Connectivity is a fundamental requirement in planning VANETs 23 . A wireless ad hoc network is called connected if a communication path (single‐ or multihop route) exists between any two nodes in the network 9,10 .…”

Section: Related Workmentioning

confidence: 99%

“…VANETs connectivity analyses have mostly relied on the assertion that the communication link between any two vehicles in the network is bidirectional 6,16–24 ; that is, if one vehicle can communicate with another one, then the opposite is true. This is based on the assumption that vehicles in a VANET would utilize similar communication ranges and on the reciprocity of the communication channel.…”

Section: Introductionmentioning

confidence: 99%

Connectivity analysis of directed highway vehicular ad hoc networks using graph theory

Elaraby

Abuelenin

2021

Int J Communication

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Summary Graph theory is a promising approach in handling the problem of estimating the connectivity probability of vehicular ad hoc networks (VANETs). With a communication network represented as graph, graph connectivity indicators become valid for connectivity analysis of communication networks as well. In this article, we discuss two different graph‐based methods for VANETs connectivity analysis showing that they capture the same behavior as estimated using probabilistic models. The study is, then, extended to include the case of directed VANETs, resulting from the utilization of different communication ranges by different vehicles. Overall, the graph‐based methods prove a robust performance, as they can be simply diversified into scenarios that are too complex to acquire a rigid probabilistic model for them.

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“…A super-statistical approach [16], generalized-extreme-value [3] and log-normal [18] distributions were proposed to model headway distribution in transitional traffic regime. Also, shifted exponential distribution [39] was suggested to be a better model for spacing distribution in single-lane free-flow traffic. Fig.…”

Section: A Traffic Modelingmentioning

confidence: 99%

Moment Analysis of Highway-Traffic Clearance Distribution

Abuelenin

Abul-Magd

2015

IEEE Trans. Intell. Transport. Syst.

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Abstract-To help with the planning of inter-vehicular communication networks, an accurate understanding of traffic behavior and traffic phase transition is required. We calculate inter-vehicle spacings from empirical data collected in a multi-lane highway in California, USA. We calculate the correlation coefficients for spacings between vehicles in individual lanes to show that the flows are independent. We determine the first four moments for individual lanes at regular time intervals, namely the mean, variance, skewness and kurtosis. We follow the evolution of these moments as the traffic condition changes from the low-density free flow to high-density congestion. We find that the higher moments of inter-vehicle spacings have a well defined dependence on the mean value. The variance of the spacing distribution monotonously increases with the mean vehicle spacing. In contrast, our analysis suggests that the skewness and kurtosis provide one of the most sensitive probes towards the search for the critical points. We find two significant results. First, the kurtosis calculated in different time intervals for different lanes varies smoothly with the skewness.They share the same behavior with the skewness and kurtosis calculated for probability density functions that depend on a single parameter. Second, the skewness and kurtosis as functions of the mean intervehicle spacing show sharp peaks at critical densities expected for transitions between different traffic phases.The data show a considerable scatter near the peak positions, which suggests that the critical behavior may depend on other parameters in addition to the traffic density.

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Effect of minimum headway distance on connectivity of VANETs

Cited by 18 publications

References 27 publications

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

A model for examining the effect of knowledge sharing and new IT-based technologies on the success of the supply chain management systems

Connectivity analysis of directed highway vehicular ad hoc networks using graph theory

Moment Analysis of Highway-Traffic Clearance Distribution

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