This paper investigates the challenges and feasibility of developing intelligent driving system providing time-sensitive information about traffic conditions and roadside facilities. The architecture for collaborative vehicle communication system is presented using the concepts of wireless networks and Bluetooth protocol. The paper further describes how vehicles can form mobile ad-hoc networks and exchange data through the on-board Bluetooth sensors and analyzes the key design concepts of the intelligent driving service infrastructure. The paper indicates that the collaborative fusion of multiple positional data can give a better understanding of the surrounding traffic conditions for collaborative driving. The technical feasibility of using Bluetooth for data exchange among moving vehicles is evaluated. Includes color illustrations and charts.
Table of Contents:
Abstract
Introduction
Intelligent Transport Environment
Vehicle and Environment Settings
Motivating Scenarios
Query Messages
Alert Messages
Access Control
Architectural Design
Simulations and Discussions
Conclusions and Future Works
From the Paper:
"Vehicles participating in the service infrastructure are equipped with an embedded microprocessor with a display interface, a GPS receiver, a class 1 Bluetooth sensor node, and an onboard diagnostics (ODI) interface. Some vehicles may have alternative wireless network connectivity support based on an on-board cellular communication device. The ODI is used to acquire a small set of data values from mechanical and electronic sensors mounted on the vehicle. All subsystems (GPS, ODI, wireless networking and Bluetooth links) are connected and forward data to the embedded microprocessor."
Sample of Sources Used:
W. Kellerer, "(Auto)Mobile Communication in a Heterogeneous and Converged World," IEEE Personal Communications, vol. 8, no. 6, pp. 41-47, December 2001.
"General motors collaborative laboratory website," http://gm.web.cmu.edu/ (accessed on 20th January 2008)
Z. Chen, H. Kung, and D. Vlah, "Ad hoc relay wireless networks over moving vehicles on highways," in Proceedings of the 2nd ACM International Symposium on Mobile Ad-hoc Networking and Computing, Long Beach, CA, Oct 2001, pp. 247-250.
R. Miller and Q. Huang, "An adaptive peer-to-peer collision warning system," in IEEE Vehicular Technology Conference (VTC), Birmingham, AL, May 2002.
C. Schwingenschloegl and T. Kosch, "Geocast enhancements for aodv in vehicular networks," ACM Mobile Computing and Communications Review, vol. 6, no. 3, July 2002.
More papers on Collaborative Driving Support Systems:
Collaborative Driving Support Systems (2012, January 15). Retrieved February 14, 2012, from http://www.academon.com/Research-Paper-Collaborative-Driving-Support-Systems/107220