TCA 2012 - international workshop on Traffic and Cellular Automata
Topics/Call fo Papers
Cellular Automata are powerful tools for modeling complex systems used in various research fields. One of the growing topics for the last few decades is traffic modeling, which includes vehicular traffic on highway networks, city traffic with signal control and public conveyance. The investigation of such systems is important for both practical and scientific reasons. Reducing traffic congestion contributes to economic efficiency and modeling of traffic flow allows for new insights into nonequilibrium systems of self-driven particles.
The aim of this workshop is to bring together interdisciplinary researchers studying traffic-related topics, and discuss methods for modeling, analysis and practical applications. Topics of either theoretical or applied interest include, but are not limited to the following:
traffic modeling (highway and urban traffic, public transport etc.)
analytical method
computer simulation
empirical results, experiments and data analysis
engineering applications
traffic networks
related systems (biological transport, granular flow etc.)
The aim of this workshop is to bring together interdisciplinary researchers studying traffic-related topics, and discuss methods for modeling, analysis and practical applications. Topics of either theoretical or applied interest include, but are not limited to the following:
traffic modeling (highway and urban traffic, public transport etc.)
analytical method
computer simulation
empirical results, experiments and data analysis
engineering applications
traffic networks
related systems (biological transport, granular flow etc.)
Other CFPs
- international workshop on Crowd and Cellular Automata
- Second international workshop on Asynchronous Cellular Automata
- International Conference on Cellular Automata for Research and Industry (ACRI).
- The 2012 Circuits and Systems Society Forum on Emerging and Selected Topics (CAS-FEST)
- 2012 International Workshop on Statistical Machine Learning for Speech Processing (IWSML)
Last modified: 2011-12-07 19:17:08