Exploring Traffic Patterns and Phase Transitions with Cellular Automaton

抄録

Traffic patterns and the associated phase transitions for pure and mixed traffic are explored in this study. Local traffic parameters are defined in a spatiotemporal (3-D) domain so that the cellular automaton (CA) modeling can precisely capture the traffic features. Refined CA simulations are performed under pure and mixed traffic scenarios on a multilane stretch of road where virtual detectors are placed to measure the 3-D traffic parameters. It is found that the proposed measuring techniques with refined CA modeling can copiously explore the local traffic patterns with associated phase transitions in both upstream and downstream of a bottleneck. Finally, a comparison of the local traffic parameters with the global counterparts is also presented.