PARAMICS: Microscopic traffic simulation. The use of computers to model traffic flow is an essential tool for transport planners. While most traffic simulators treat traffic as a fluid, microscopic traffic simulation models individual vehicles, giving more realistic congestion and flow patterns. Supercomputing power enabled PARAMICS to study large-scale traffic patterns at high speeds.
Keywords for this software
References in zbMATH (referenced in 7 articles )
Showing results 1 to 7 of 7.
- Zhang, Yue; Cassandras, Christos G.; Li, Wei; Mosterman, Pieter J.: A discrete-event and hybrid traffic simulation model based on SimEvents for intelligent transportation system analysis in Mcity (2019)
- Chen, Gang; Yang, Zhong-Zhen: Methods for estimating vehicle queues at a marine terminal: a computational comparison (2014)
- Jiang, Yu; Gong, Shuli: Bus holding strategy based on shuffled complex evolution method (2012) ioport
- Yu, Bin; Yang, Zhongzhen: A dynamic holding strategy in public transit systems with real-time information (2009) ioport
- Xu, Yang; Recker, Wilfred W.: Modeling dynamic vehicle navigation in a self-organizing, peer-to-peer, distributed traffic information system (2006)
- Sheu, Jiuh-Biing; Chou, Yi-Hwa; Chen, Allen: Stochastic modeling and real-time prediction of incident effects on surface street traffic congestion (2004)
- Sheu, Jiuh-Biing; Chou, Yi-Hwa; Weng, Mei-Chuan: Stochastic system modeling and optimal control of incident-induced traffic congestion (2003)