TY - GEN
T1 - Hovering data clouds
T2 - 1st International Workshop on Self-Organizing Systems, IWSOS 2006, and Third International Workshop on New Trends in Network Architectures and Services, EuroNGI 2006
AU - Wegener, Axel
AU - Schiller, Elad M.
AU - Hellbrück, Horst
AU - Fekete, Sándor P.
AU - Fischer, Stefan
PY - 2006/1/1
Y1 - 2006/1/1
N2 - With ever-increasing numbers of cars, traffic congestion on the roads is a very serious economic and environmental problem for our modern society. Existing technologies for traffic monitoring and management require stationary infrastructure. These approaches lack flexibility with respect to system deployment, and unpredictable events (e.g., accidents). Moreover, the delivery of traffic reports from radio stations is imprecise and often outdated. In the project AutoNomos we aim at developing a decentralized system for traffic monitoring and managing, based on vehicular ad-hoc networks (VANETs). Our objective is to design a system for traffic forecasting that can deliver faster and more appropriate reactions to unpredictable events. In our design, cars collect traffic information, extract the relevant data, and generate traffic reports. A key concept are so-called Hovering Data Clouds (HDCs), which are based on the insight that many crucial structures in traffic (e.g., traffic jams) lead an existence that is independent of the individual cars they are composed of. The result is an elegant, robust and self-organizing distributed information system. In this paper we demonstrate first experimental results.
AB - With ever-increasing numbers of cars, traffic congestion on the roads is a very serious economic and environmental problem for our modern society. Existing technologies for traffic monitoring and management require stationary infrastructure. These approaches lack flexibility with respect to system deployment, and unpredictable events (e.g., accidents). Moreover, the delivery of traffic reports from radio stations is imprecise and often outdated. In the project AutoNomos we aim at developing a decentralized system for traffic monitoring and managing, based on vehicular ad-hoc networks (VANETs). Our objective is to design a system for traffic forecasting that can deliver faster and more appropriate reactions to unpredictable events. In our design, cars collect traffic information, extract the relevant data, and generate traffic reports. A key concept are so-called Hovering Data Clouds (HDCs), which are based on the insight that many crucial structures in traffic (e.g., traffic jams) lead an existence that is independent of the individual cars they are composed of. The result is an elegant, robust and self-organizing distributed information system. In this paper we demonstrate first experimental results.
UR - http://www.scopus.com/inward/record.url?scp=33750007109&partnerID=8YFLogxK
U2 - 10.1007/11822035_22
DO - 10.1007/11822035_22
M3 - Conference contribution
AN - SCOPUS:33750007109
SN - 3540376585
SN - 9783540376583
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 243
EP - 247
BT - Self-Organizing Systems - First International Workshop, IWSOS 2006, and Third International Workshop on New Trends in Network Architectures and Services, EuroNGI 2006, Proceedings
PB - Springer Verlag
Y2 - 18 September 2006 through 20 September 2006
ER -