Comparison of Reproduction of Spatiotemporal Structures of Traffic Flows Using Various Ways of Averaging Data

Chechina, Antonina Alexandrovna; Churbanova, N. G.; Trapeznikova, Marina

doi:10.1134/s2070048221050070

Cited by 2 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years the original mathematical model of traffic flows based on the cellular automata approach (CAM-2D model) has been developed by the authors of the article [12,39,40]. The main focus of the model was to depict various driving tactics as well as building algorithms for vehicle movement on different road elements, such as signalized and non-signalized intersections, road widening, U-turns, etc.…”

Section: Methods Of Modeling Traffic Within Cellular Automata (Ca) Ap...mentioning

confidence: 99%

Development of Parallel Algorithms for Intelligent Transportation Systems

et al. 2022

View full text Add to dashboard Cite

This paper deals with the creation of parallel algorithms implementing macro-and microscopic traffic flow models on modern supercomputers. High-performance computing contributes to the development of intelligent transportation systems based on information technologies and aimed at the effective regulation of traffic in large cities. As a macroscopic approach, the quasi-gas-dynamic traffic model approximated by explicit finite-difference schemes is proposed. One- and two-dimensional variants of the system are considered, and the concept of lateral velocity and different equations for obtaining it are discussed. The microscopic approach is represented by the multilane cellular automata model. The previously developed model is extended to reproduce synchronized flow in accordance with Kerner’s three-phase theory. The new version starts from the Kerner–Klenov–Schreckenberg–Wolf model and operates with the concept of the synchronization gap. Macroscopic models are relevant for determining the common characteristics of road traffic, while microscopic models are useful for a detailed description of cars’ movement. Both approaches possess inner parallelism. The parallel algorithms are based on the geometrical parallelism principle with different boundary conditions at interfaces of the subdomains. Sufficiently high speedups were reached when up to 100 processors were involved in calculations. The proposed algorithms can serve as the core of ITS.

show abstract

Section: Methods Of Modeling Traffic Within Cellular Automata (Ca) Ap...mentioning

confidence: 99%