20.500.12556/RUL-176182 The influence of different driving parameters on traffic with a cellular automata model Reliable traffic simulations with high-quality results contribute to the understanding of the traffic system and effective planning. In this article, firstly, an existing cellular automata (CA) model is modified to perform a comprehensive analysis of the influence of key parameters on traffic flow and average velocity. The simulations are conducted with realistic parameter values under heterogeneous conditions. Based on a safety analysis, a novel adaptive acceleration capability is developed, allowing vehicles to accelerate or decelerate at the desired acceleration/deceleration rate depending on the current road conditions. Secondly, the reaction time parameter is introduced into the model to study its impact on traffic under homogeneous and heterogeneous conditions. Thirdly, the model can simulate traffic flow according to different maximum velocities. Additionally, the influence of the maximum acceleration rate on traffic is studied. The results show t hat the maximum traffic flow at a maximum velocity of 60 km/h and a reaction time of 1 s is 2198 vehicles/h at a density of 0.29 vehicle/cell in adaptive acceleration mode. Generally, the adaptive acceleration capability increases traffic flow by up to 30% at densities of less than 0.7 vehicle/cell and even more at higher densities. Similarly, a 0.2 s lower reaction time increases traffic flow by up to 40%. At a maximum velocity of 110 km/h, the maximum traffic flow is 23% higher than at 50 km/h. However, the maximum velocity has little effect on traffic flow at higher densities. The maximum acceleration rate has a limited impact on traffic flow. adaptive acceleration heterogeneous conditions microscopic traffic flow models cellular automata reaction time prilagodljiv pospešek heterogeni pogoji mikroskopski modeli prometnega toka celična avtomata reakcijski čas true false true Angleški jezik Slovenski jezik Članek v reviji 2025-11-24 12:16:44 2025-11-24 12:16:53 2025-12-18 04:09:35 0000-00-00 00:00:00 2025 0 0 27 str. issue 23 , art. 12404 Vol. 15 Nov. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.94:656.1 2076-3417 10.3390/app152312404 258410755 Rigler,_Turk-The_Influence_of_Different_Driving_Parameters_on_Traffic_with_a_Cellular_Automata_Model.pdf Rigler,_Turk-The_Influence_of_Different_Driving_Parameters_on_Traffic_with_a_Cellular_Automata_Model.pdf 1 1CBC0C032B25F2E31F485811337C6848 161bd705563ef0ebc90bf6175bb0ff6c0d84f6f98853a32c97bf1a2cb0cb8d8e e5658e75-c926-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=222430 https://www.mdpi.com/2076-3417/15/23/12404 1 b9459a81-c926-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=222429 Fakulteta za gradbeništvo in geodezijo Filozofska fakulteta 0 0 0