An Analysis of the Use and Difficulties in Introducing Information Technology and Information Systems in Transport and the Transport Infrastructure

Kabanov, Artem S.; Azarov, Vladimir N.; Mayboroda, Valery P.

doi:10.1109/itqmis.2019.8928298

Cited by 10 publications

(1 citation statement)

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“…In this way, the measured statistic via traffic transportation monitoring is necessary to fully model the distribution of both vehicles and obstacles within the urban area according to the real applications. Besides, the deployment of JCS road infrastructures should also comply with the European installation standard of transportation equipment on cantilever poles, traffic gantry, and other traffic-spot structures [29] within the urban area, as shown in Fig. 1.…”

Section: B Related Workmentioning

confidence: 99%

Performance of Cooperative Detection in Joint Communication-Sensing Vehicular Network: A Data Analytic and Stochastic Geometry Approach

Wei

et al. 2023

IEEE Trans. Veh. Technol.

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The increasing complexity of urban environments introduces additional uncertainty to the deployment of the autonomous vehicular network. A novel road infrastructure cooperative detection model using Joint Communication and Sensing (JCS) technology is proposed in this article to simultaneously achieve high-efficient communication and obstacle detection for urban autonomous vehicles. To suppress the performance fluctuation caused by shadowing and obstruction to the JCS signals, we first derive the statistic of road obstacles from the Geographic Information System (GIS). Then, the analysis of JCS channel characteristics and shadowing factors are presented using Line-of-Sight and Non-Line-of-Sight (LoS and NLoS) channel models under the complex urban scenario. A stochastic geometry approach is applied to analyze the interference factors and the probability distribution of successful JCS detection and communication. Simulations have been made to verify the cooperative detection model by probability analysis based on LoS and NLoS channels, and the numerical results demonstrate several different optimization methods for the deployment of JCS road infrastructures. Finally, we simulated and analyzed a deployment optimization method for JCS road infrastructures that complied with the standard of urban traffic-spot structure placement.

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Section: B Related Workmentioning

confidence: 99%