Title
Mechanisms for a reliable cooperation of vehicles
Abstract
The final objective of the described project is to develop and implement techniques for a reliable cooperation of autonomous mobile systems that can be used for future traffic management systems. The approach relies on the ability of the systems to communicate among themselves in order to make efficient use of available shared resources (e.g. road space). In the context of automotives this means that computer-based driving assistants not only support humans in handling their own vehicles but also in interacting with the individual vehicles in the neighborhood The vision is an embedded, distributed traffic control system that is provided by the cooperation of the participating units, and thus is more robust and scalable than centralized approaches. Besides the 'obvious' requirements on high assurance computing in traffic control systems, the design and implementation of such systems require the ability of coordination while obeying the necessary real-time and safety constraints. This paper motivates the approach, presents an envisaged system architecture and sketches the design of the basic communication layers of this architecture that can fulfill the realtime and safety requirements. Finally, it introduces a lab-scale evaluation and demonstration scenario that proves the feasibility of the concepts
Year
DOI
Venue
2001
10.1109/HASE.2001.966809
Boco Raton, FL
Keywords
Field
DocType
automobiles,mobile robots,traffic information systems,automotives,autonomous mobile systems,computer-based driving assistants,distributed traffic control system,high assurance computing,lab-scale evaluation,reliable cooperation of vehicle,system architecture,traffic control systems,traffic management systems
Advanced Traffic Management System,Computer security,Computer science,Floating car data,Vehicle Information and Communication System,Control system,Systems architecture,Traffic engineering,Reliability engineering,Mobile robot,Distributed computing,Scalability
Conference
ISSN
ISBN
Citations 
1530-2059
0-7695-1275-5
3
PageRank 
References 
Authors
0.60
12
3
Name
Order
Citations
PageRank
Edgar Nett134554.29
Martin Gergeleit2204.39
Michael Mock317525.30