Design framework and intelligent in-vehicle information system for sensor-cloud platform and applications

Qingshu Zeng, Qijun Duan, Mingxiang Shi, Xiangjian He, Mohammad Mehedi Hassan

Research output: Journal PublicationArticlepeer-review

4 Citations (Scopus)

Abstract

The sensor-cloud system (SCS) integrates sensors, sensor networks, and the cloud for managing sensors, collecting data, and decision-making. Smart transportation based on the sensor-cloud approach is constantly improving. The sensor cloud has promoted the industrialization of the Internet of Vehicles and has also brought it to a new research stage. SCS permits users to utilize its platform as a service, and providers offer several environments to users for the development of applications, which enhances the user driving experience. However, many users have concerns with the sensor-cloud platform (SCP) and the environment. Furthermore, to save sensor resources, we propose a novel design model and method for in-vehicle information systems (IVIS) in the framework of SCS, which can optimize the SCP user experience. Our contribution has three main aspects: first, we extract the new features presented by the IVIS under the sensor-cloud environment; second, we establish a mapping between the IVIS and user needs and innovatively propose the SCP-oriented experience element-level scheme; finally, an IVIS design method based on the experience element is proposed. Furthermore, this research establishes a mapping between user experience elements and intelligent IVIS design features in the SCS environment and proposes an innovative IVIS model.

Original languageEnglish
Pages (from-to)201675-201685
Number of pages11
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Intelligent in-vehicle information system
  • Sensor cloud
  • Sensor resources
  • User experience

ASJC Scopus subject areas

  • Computer Science (all)
  • Materials Science (all)
  • Engineering (all)

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