Human-Computer Interaction of Networked Vehicles Based on Big Data and Hybrid Intelligent Algorithm

Abstract

Intelligent connected vehicle (ICV) refers to realizing the exchange and sharing of intelligent information between vehicles, roads, people, clouds, and so on by carrying advanced on-board sensors, controllers, actuators, and other devices and combining modern communication and network technology. In the age of big data, the information of everything can be transformed into digital resources, and transportation big data has become a basic resource. This paper constructs a big data platform for traffic data processing to realize the function of real-time collection, processing, and analysis of traffic data. Based on the proposed big data platform, the parallel programming framework of MapReduce and HDFS distributed storage system are used to process the real-time vehicle dynamic information in parallel, and the output result is used as the input of running genetic algorithm simulated annealing (GA-SA) for parallel calculation. At the same time, it studies the impact of various elements on users’ interactive behavior, constructs the demand framework and design model of automobile human-computer interaction, and then realizes fast and comprehensive search. The experimental results show that the human-computer interaction method of intelligent networked vehicle can find the optimal driving path, transmit it to each networked vehicle through the human-computer interaction system, realize human-computer interaction, reduce the impact of user unintentional operation on redundant motion, reduce the motion error accumulation of the system, and improve the performance of human-computer interaction system.

A novel MXene-based high-performance flexible pressure sensor for detection of human motion

“…With the rapid development of science and technology, flexible wearable sensors have been utilized as core components of signal acquisition, thereby stimulating great research interest and wide application in fields of bioelectronic devices [1,2], smart homes [3], electronic skin [4][5][6], intelligent robotics [7,8], and human-computer interaction [9,10], among others. According to the working mechanism, flexible pressure sensors can be divided into piezoresistive [11][12][13], capacitive [14], piezoelectric [15], and triboelectric [16,17].…”

Retracted: Human-Computer Interaction of Networked Vehicles Based on Big Data and Hybrid Intelligent Algorithm

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”