The Use of Heterogeneous Cellular Automata to Study the Capacity of the Roundabout

Małecki, Krzysztof

doi:10.1007/978-3-319-59060-8_28

Cited by 15 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The N-Sch model proved to be a powerful and simple road traffic simulation tool and it began various modifications and extensions [62][63][64][65][66][67][68][69][70][71], but all these new solutions are based on direct neighbourhood (neighbouring, closest cells) and they are focused mostly on one-way roads.…”

Section: Traffic Model On the Basis Of A Graph Cellular Automatonmentioning

confidence: 99%

Graph Cellular Automata with Relation-Based Neighbourhoods of Cells for Complex Systems Modelling: A Case of Traffic Simulation

Małecki

2017

Symmetry

Self Cite

View full text Add to dashboard Cite

Abstract:A complex system is a set of mutually interacting elements for which it is possible to construct a mathematical model. This article focuses on the cellular automata theory and the graph theory in order to compare various types of cellular automata and to analyse applications of graph structures together with cellular automata. It proposes a graph cellular automaton with a variable configuration of cells and relation-based neighbourhoods (r-GCA). The developed mechanism enables modelling of phenomena found in complex systems (e.g., transport networks, urban logistics, social networks) taking into account the interaction between the existing objects. As an implementation example, modelling of moving vehicles has been made and r-GCA was compared to the other cellular automata models simulating the road traffic and used in the computer simulation process.

show abstract

Section: Traffic Model On the Basis Of A Graph Cellular Automatonmentioning

confidence: 99%

Graph Cellular Automata with Relation-Based Neighbourhoods of Cells for Complex Systems Modelling: A Case of Traffic Simulation

Małecki

2017

Symmetry

Self Cite

View full text Add to dashboard Cite

show abstract

“…These models have received support by advances in computer systems, allowing to manage an extremely large number of events, albeit with considerable efforts in calibration and application to real cases, including modern intelligent transport systems and automated vehicles [39]. The recent literature proposes numerous models and solutions based on commercial (e.g., Paramics [40], Aimsun [41], and Vissim [42]) or open source (e.g., SUMO [43]) proprietary microscopic simulation programs, or using for example discrete event simulations (e.g., [44]), game theory (e.g., [45,46]), multi agent systems (e.g., [47]), cellular automata (e.g., [48][49][50]), and various artificial intelligence learning approaches (e.g., [51][52][53]).…”

Section: Introductionmentioning

confidence: 99%

New Extensions and Applications of the Modified Chumanov Model for Calculating Entry Capacity of Single-Lane Roundabouts

2020

View full text Add to dashboard Cite

Over the past decades many models for roundabout capacity have been proposed. Attention to this research sector has never stopped and still today new formulations are always being studied, especially in view of their direct application in design practice. This paper reports the first noteworthy results of a research concerning the Modified Chumanov (MC) model, which can be used to estimate the capacity of single-lane roundabout entrances. After a detailed examination of the original model recommended by the Russian guidelines for small urban roundabouts, the paper proposes some extensions which allow using the revised model even for larger intersections. The MC model also includes some parameterizations that allow its application with different road pavement surface conditions (i.e., dry and wet conditions). The MC entry capacity model, as function of circulating flow and other parameters dependent on geometry and environmental conditions, was compared with 15 widespread models considering a typical medium-sized single-lane roundabout. A validation test was carried out considering four capacity–circulating flow datasets from the literature. The proposed MC model showed good flexibility in adapting to data. This flexibility appears better than the most recent models by Highway Capacity Manual, in the absence of local calibration of the psychotechnical parameters.

show abstract

“…It is worth noting that, although it is possible to obtain context-specific information thanks to widespread traffic data acquisition technologies, psychotechnical time values from literature are often used, without delving into the specificity of the design site. Micro-simulations models have spread enormously in recent years, with varied solutions based on commercial (e.g., Paramics (SIAS, 2019), Aimsun (TSS, 2019), and Vissim (PTV, 2019)) or open source (e.g., SUMO (Behrisch et al, 2019)) proprietary simulation programs, or using for example discrete event simulations (e.g., (Bakhsh, 2020)), game theory (e.g., (Banjanovic-Mehmedovic et al, 2016;Tian et al, 2018)), multi agent systems (e.g., (Doniec et al, 2008)), cellular automata (e.g., (Wang et al, 2005;Małecki, 2017)), and various artificial intelligence learning approaches (e.g., (Gritschneder et al, 2016;Zhao et al, 2017;Capasso et al, 2020)). Despite having a great flexibility allowing to manage an extremely large number of events, these models require significant efforts to produce case-by-case implementations, with considerable efforts in calibration and application to real cases.…”

Section: Introductionmentioning

confidence: 99%

Testing roundabout capacity models: a practical aid for choosing the right one based on total capacity calculation

Mauro¹

2020

European Transport/Trasporti Europei

View full text Add to dashboard Cite

The determination of efficiency measures, under a known traffic demand, is a central aspect of roundabouts analysis. Many capacity formulations have been available for some time in different countries relating to different roundabout layouts. This paper refers to fifteen roundabout entry capacity models used above all in the European countries, highlighting their input requirements and their algorithm complexity. The formulations reviewed are then compared referring to a test roundabout, with a simple and widespread layout. Monte Carlo simulation have been performed considering 5,000 traffic distribution matrices for each capacity model. The results obtained are critically assessed resorting to the calculation of roundabout total capacity. The probability distributions of total capacity allow finding a model that stands out among all as an advisable choice for a suitable capacity formulation, acting as a synthesis of all those examined. This can be of considerable use in view of practical applications, for the design of efficient and safe roundabout intersections in situations in which a country-specific capacity formulation is not available.

show abstract

The Use of Heterogeneous Cellular Automata to Study the Capacity of the Roundabout

Cited by 15 publications

References 21 publications

Graph Cellular Automata with Relation-Based Neighbourhoods of Cells for Complex Systems Modelling: A Case of Traffic Simulation

Graph Cellular Automata with Relation-Based Neighbourhoods of Cells for Complex Systems Modelling: A Case of Traffic Simulation

New Extensions and Applications of the Modified Chumanov Model for Calculating Entry Capacity of Single-Lane Roundabouts

Testing roundabout capacity models: a practical aid for choosing the right one based on total capacity calculation

Contact Info

Product

Resources

About