An improved multi-value cellular automata model for heterogeneous bicycle traffic flow

Publication Type:
Journal Article
Citation:
Physics Letters, Section A: General, Atomic and Solid State Physics, 2015, 379 (39), pp. 2409 - 2416
Issue Date:
2015-10-16
Full metadata record
Files in This Item:
Filename Description Size
curt.pdfPublished Version2.38 MB
Adobe PDF
© 2015 Elsevier B.V. This letter develops an improved multi-value cellular automata model for heterogeneous bicycle traffic flow taking the higher maximum speed of electric bicycles into consideration. The update rules of both regular and electric bicycles are improved, with maximum speeds of two and three cells per second respectively. Numerical simulation results for deterministic and stochastic cases are obtained. The fundamental diagrams and multiple states effects under different model parameters are analyzed and discussed. Field observations were made to calibrate the slowdown probabilities. The results imply that the improved extended Burgers cellular automata (IEBCA) model is more consistent with the field observations than previous models and greatly enhances the realism of the bicycle traffic model.
Please use this identifier to cite or link to this item: