Big Data Sensing Information Processing Platform for Intelligent Traffic

Abstract

Analysis of the intelligent traffic service platform system structure and key technology of cloud computing, proposed mass sensing information processing scheme based on the intelligent traffic service platform. First the scheme proposed system architecture, designed a multiple functional unit modules of the system, through the combination of these functional unit can realize the configured service for tens of thousands of service and tenants. Then, the system adopts Hadoop open source framework for distributed computing. Finally, the system is realized in the intelligent transportation service.

Research on Big Data Traffic Operation Based on Intelligent Holographic 3D Image Vision

“…For example, traffic congestion has become a worldwide problem as the number of vehicles has increased dramatically. As a result, intelligent transport systems have been proposed to alleviate traffic congestion, reduce traffic accidents, and improve traffic safety [2].…”

The Research of Mobile Location Privacy Protection Access Control Method Based on Game Theory

“…More and more location-based service providers can make data mining based on existing user data to improve user experience. JP Tang et al studied the platform through intelligent traffic data sensing information processing platform and used the existing traffic big data to improve the intelligent traffic service [5]. The leakage of private information greatly affects the user's service experience.…”

Cognitive management techniques for increasing the acceptance of autonomous vehicles

“…As mentioned previously in Chapter 2, in the last few decades, the automotive world is witnessing a trend related to the extensive use of newly introduced IVI systems, attributing vehicles with intelligence, which aim to improve either the drivers/passengers' safety, or the drivers/passengers' quality of driving through entertainment, or both (Dimitrakopoulos et al, 2013;Dimitrakopoulos & Demestichas, 2010). The big challenge of IVI systems is not only on how to collect and model large volumes of information but how to develop innovative services and safety applications in real-time for better support the driving task (Kephart & Chess, 2003;Tang & Li, 2014;Cao, 2015].…”