In order to construct signalized intersections which are more in line with the actual traffic operation mechanism we propose a new traffic flow model for intersections which is a hybrid between the classical cellular automata and the other microscopic traffic models, using continuous cellular automata to analyze the influence of driver heterogeneity and split. This continuity allows us embed a multiple car following model to simulate different car-following behaviors. The experimental results show that our model is able to reproduce the typical traffic flow phenomena with a variety of effects due to the heterogeneity within traffic stream.
Continuous Cellular Automata Model for Signalized Intersection Based on Driver Heterogeneity
20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)
CICTP 2020 ; 185-197
2020-12-09
Conference paper
Electronic Resource
English
Microscopic Simulation of Traffic flow at Signalized Intersection Based on Cellular Automata
British Library Conference Proceedings | 1999
|Research on Traffic Breakdown Phenomenon at Signalized Intersection Based on Cellular Automata
Springer Verlag | 2024
|Signalized intersection driver parking time prediction method
European Patent Office | 2020
|Transportation Research Record | 2023
|