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ELTE Fizika Intezet


                             ORTVAY KOLLOKVIUM

                    2006. marcius 02. , csutortok, 15 orakor
  Az ELTE Pazmany Peter s. 1/A alatti epuleteben a foldszinti 0.83 eloadoban

                                 Helbing, Dirk 
   (Institute for Economics and Traffic, Dresden University of Technology ): 
  "Decentralized Approaches to the Autonomous Control of Traffic in Networks" 

Kivonatos ismertetes:

Traffic systems are highly complex multi-component systems suffering from 
instabilities and non-linear dynamics, including chaos. This is caused by the 
non-linearity of interactions, delays, and fluctuations, which can trigger 
phenomena such as stop-and-go waves, noise-induced breakdowns, or 
slower-is-faster effects. 

Recent information and communication technologies (ICT), promise new 
solutions 
for congestion avoidance. For example, future adaptive cruise control systems 
(ACC) will enhance traffic performance by increasing the stability of traffic 
flows and the capacity of the road. Vehicles will become automatic traffic 
state detectors, data management, and communication centers when forming 
adhoc 
networks through intervehicle communication (IVC) concepts. 

These concepts lead from the classical, centralized control to decentralized 
approaches in the sense of collective (swarm) intelligence and ad-hoc 
networks. 
Such concepts reach more adaptiveness, flexibility, resilience and robustness 
with respect to local requirements and temporary failures. 

Another interesting problem is adaptive traffic control in urban road 
networks. 
Synchronization is only one approach to reach coordination among neighboring 
traffic lights, including green waves. We propose an adaptive strategy of 
traffic light control which can considerably improve throughputs and travel 
times, using self-organization principles based on local interactions between 
vehicles and traffic lights. 

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