Design of an In-vehicle Intelligent Information System for Remote Management

차량 원격 진단 및 관리를 위한 차량 지능 정보시스템의 설계

  • Kim, Tae-Hwan (Department of Information and Communication Engineering, Daegu University) ;
  • Lee, Seung-Il (Department of Information and Communication Engineering, Daegu University) ;
  • Lee, Yong-Doo (Department of Information and Communication Engineering, Daegu University) ;
  • Hong, Won-Kee (Department of Information and Communication Engineering, Daegu University)
  • 김태환 (대구대학교 정보통신공학과) ;
  • 이승일 (대구대학교 정보통신공학과) ;
  • 이용두 (대구대학교 정보통신공학과) ;
  • 홍원기 (대구대학교 정보통신공학과)
  • Published : 2005.11.26

Abstract

In the ubiquitous computing environment, an intelligent vehicle is defined as a sensor node with a capability of intelligence and communication in a wire and wireless network space. To make it real, a lot of problems should be addressed in the aspect of vehicle mobility, in-vehicle communication, common service platform and the connection of heterogeneous networks to provide a driver with several intelligent information services beyond the time and space. In this paper, we present an intelligent information system for managing in-vehicle sensor network and a vehicle gateway for connecting the external networks. The in-vehicle sensor network connected with several sensor nodes is used to collect sensor data and control the vehicle based on CAN protocol. Each sensor node is equipped with a reusable modular node architecture, which contains a common CAN stack, a message manager and an event handler. The vehicle gateway makes vehicle control and diagnosis from a remote host possible by connecting the in-vehicle sensor network with an external network. Specifically, it gives an access to the external mobile communication network such as CDMA. Some experiments was made to find out how long it takes to communicate between a vehicle's intelligent information system and an external server in the various environment. The results show that the average response time amounts to 776ms at fixed place, 707ms at rural area and 910ms at urban area.

Keywords