The broadcast storm problem in a mobile ad hoc network
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A two-tier data dissemination model for large-scale wireless sensor networks
Proceedings of the 8th annual international conference on Mobile computing and networking
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Floating Car Data Anaylsis of Urban Road Networks
EUROCAST '99 Proceedings on Computer Aided Systems Theory
Cellular Automata Models for Transportation Applications
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Data-centric storage in sensornets
ACM SIGCOMM Computer Communication Review
Gossip-Based Ad Hoc Routing
Still Flowing: Approaches to Traffic Flow and Traffic Jam Modeling
Operations Research
Vehicle-to-vehicle safety messaging in DSRC
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
MINE and MILE: improving connectivity in mobile ad-hoc networks
ACM SIGMOBILE Mobile Computing and Communications Review
The Wisdom of Crowds
Congestion tolls as utility alignment between agent and system optimum
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Human Behaviour and Traffic Networks
Human Behaviour and Traffic Networks
Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions
Transportation Science
Recognizing Traffic Jams with Hovering Data Clouds
ISOLA '06 Proceedings of the Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation
Ad Hoc Networking
Empirical Features of Congested Traffic States and Their Implications for Traffic Modeling
Transportation Science
Urban traffic control with co-fields
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Hovering data clouds: a decentralized and self-organizing information system
IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
Emergence versus self-organisation: different concepts but promising when combined
Engineering Self-Organising Systems
Editorial: Special issue on organic computing
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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In recent years, tremendous progress has been made in understanding the dynamics of vehicle traffic flow and traffic congestion by interpreting traffic as a multiparticle system. This helps to explain the onset and persistence of many undesired phenomena, for example, traffic jams. It also reflects the apparent helplessness of drivers in traffic, who feel like passive particles that are pushed around by exterior forces; one of the crucial aspects is the inability to communicate and coordinate with other traffic participants. We present distributed methods for solving these fundamental problems, employing modern wireless, ad-hoc, multi-hop networks. The underlying idea is to use these capabilities as the basis for self-organizing methods for coordinating data collection and processing, recognizing traffic phenomena, and changing their structure by coordinated behavior. The overall objective is a multi-level approach that reaches from protocols for local wireless communication, data dissemination, pattern recognition, over hierarchical structuring and coordinated behavior, all the way to large-scale traffic regulation. In this article, we describe three types of results: (i) self-organizing and distributed methods for maintaining and collecting data (using our concept of Hovering Data Clouds); (ii) adaptive data dissemination for traffic information systems; (iii) methods for self-recognition of traffic jams. We conclude by describing higher-level aspects of our work.