2020/04/14 by Boris S. Kerner, Kerner, Boris S.
Engineering · Social Sciences · #Cellular Automata and Lattice Gases (nlin.CG) #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Traffic Prediction and Management Techniques #Traffic control and management #Transportation Planning and Optimization
paper · pdf · doi:10.48550/arxiv.2004.06504
openalex publication_date 2020/04/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A critical analysis of the effect of autonomous driving vehicles on traffic\nbreakdown in mixed traffic flow is made. Classical adaptive cruise control\n(ACC) and ACC based on three-phase traffic theory (TPACC) are considered. We\nshow that within a wide range of dynamic parameters of classical ACC, the\nACC-vehicles can initiate traffic breakdown and reduce highway capacity.\nContrarily, in the same range of parameters of TPACC, the TPACC-vehicles do not\ninitiate traffic breakdown. To understand physical reasons for the effect of\nclassical ACC- and TPACC-vehicles on traffic breakdown, we introduce a model of\nACC that can be considered a combination of dynamic features of classical ACC\nand TPACC. With the use of this model, we find how the amplitude of a local\nspeed disturbance caused by the ACC in a vicinity of a bottleneck and the\nprobability of traffic breakdown depend on the dynamic parameters of the ACC.\n