Generalized Simulation Models of Vehicle Movements for Road and Railway Traffic Using Cellular Automata with Braking Reference Distance

2012 ◽  
pp. 335-340
Author(s):  
Yonghua Zhou ◽  
Chao Mi ◽  
Yaqin Yin
Keyword(s):  
Cellular Automata ◽  
Simulation Models ◽  
Railway Traffic ◽  
Reference Distance

scholarly journals Modeling Patterns of Land Use in Chinese Cities Using an Integrated Cellular Automata Model

2018 ◽  
Vol 7 (10) ◽  
pp. 403 ◽  
Author(s):  
Yanlei Feng ◽  
Yi Qi
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Simulation Model ◽  
Large Scale ◽  
Driving Forces ◽  
Simulation Models ◽  
Simulation Studies ◽  
Cellular Automata Model ◽  
Urban Simulation ◽  
Land Use And Cover

This paper introduces an urban growth simulation model applied to the full scope of China. The model uses a multicriteria decision analysis to calculate the land conversion probability and then integrates it with a cellular automata model. A nonlinear relationship is incorporated in to the model to interpret the impacts of different Land Use and Cover Change driving forces. The Analytical Hierarchical Process is also implemented to compute the variance between weights of different factors. Multiple sizes of neighborhood and different urban ratios in the model rules are tested, and a 5 × 5 neighborhood and an urban threshold of 0.33 are chosen. The study demonstrates the importance of spatial analysis on socioeconomic factors, population, and Gross Domestic Product in land use change simulation modeling. The model fills the gap between the purely economic theory simulation model and the geographic simulation model. The nationwide urban simulation is an example that addresses the lack of urban simulation studies in China and among large-scale simulation models.

scholarly journals Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Dan Zhou ◽  
Sheng Jin ◽  
Dongfang Ma ◽  
Dianhai Wang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Simulation Models ◽  
Transportation Systems ◽  
Simulation Approach ◽  
Lane Changing ◽  
Slowing Down ◽  
Ca Model ◽  
Stable Performance ◽  
Motorized Vehicles

Simulation, as a powerful tool for evaluating transportation systems, has been widely used in transportation planning, management, and operations. Most of the simulation models are focused on motorized vehicles, and the modeling of nonmotorized vehicles is ignored. The cellular automata (CA) model is a very important simulation approach and is widely used for motorized vehicle traffic. The Nagel-Schreckenberg (NS) CA model and the multivalue CA (M-CA) model are two categories of CA model that have been used in previous studies on bicycle traffic flow. This paper improves on these two CA models and also compares their characteristics. It introduces a two-lane NS CA model and M-CA model for both regular bicycles (RBs) and electric bicycles (EBs). In the research for this paper, many cases, featuring different values for the slowing down probability, lane-changing probability, and proportion of EBs, were simulated, while the fundamental diagrams and capacities of the proposed models were analyzed and compared between the two models. Field data were collected for the evaluation of the two models. The results show that the M-CA model exhibits more stable performance than the two-lane NS model and provides results that are closer to real bicycle traffic.

The Computational Paradigm of Cellular Automata in Crowd Evacuation

2015 ◽  
Vol 26 (07) ◽  
pp. 851-872 ◽  
Author(s):  
Georgios Ch. Sirakoulis
Keyword(s):  
Cellular Automata ◽  
Real World ◽  
Queuing Theory ◽  
High Speed ◽  
Low Cost ◽  
Computational Cost ◽  
Simulation Models ◽  
Pedestrian Dynamics ◽  
Crowd Management ◽  
Crowd Evacuation

During last decades, Cellular Automata (CAs) as bio-inspired parallel computational tools have been proven rather efficient and robust on modeling and simulating many different physical processes and systems and solving scientific problems, in which global behavior arises from the collective effect of simple components that interact locally. Among others of most renowned and well established CA applications, crowd evacuation and pedestrian dynamics are considered ones of the most timely and lively topics. Numerous models and computational paradigms of CAs either as standalone models or coupled with other theoretical and practical modeling approaches have been introduced in literature. All these crowd models are taking advantage of the fact that CA show evidence of a macroscopic nature with microscopic extensions, i.e. they provide adequate details in the description of human behavior and interaction, whilst they retain the computational cost at low levels. In this aspect, several CA models for crowd evacuation focusing on different modeling principles, like potential fields techniques, obstacle avoidance, follow the leader principles, grouping and queuing theory, long memory effects, etc. are presented in this paper. Moreover, having in mind the inherent parallelism of CA and their straightforward implementation in hardware, some anticipative crowd management systems based on CAs are also shown when operating on medium density crowd evacuation for indoor and outdoor environments. Real world cases and different environments were examined proving the efficiency of the proposed CA based anticipative systems. The proposed hardware implementation of the CAs-based crowd simulation models is advantageous in terms of low-cost, high-speed, compactness and portability features. Finally, robot guided evacuation with the help of CAs is also presented. The proposed framework relies on the well established CAs simulation models, while it employs a real-world evacuation implementation assisted by a mobile robotic guide, which in turn guides people towards a less congestive exit at a time.

MODELING THE RAILWAY TRAFFIC USING CELLULAR AUTOMATA MODEL

2005 ◽  
Vol 16 (06) ◽  
pp. 921-932 ◽  
Author(s):  
KE-PING LI ◽  
ZI-YOU GAO ◽  
BIN NING
Keyword(s):  
Cellular Automata ◽  
Signaling System ◽  
Highway Traffic ◽  
Cellular Automata Model ◽  
Railway Traffic ◽  
Probabilistic Cellular Automaton ◽  
Block Scheme ◽  
Ca Model ◽  
Simulation Results ◽  
Flow States

The NaSch model is a probabilistic cellular automaton (CA) model for the description of single-lane highway traffic. Based on this model, we propose a new cellular automata model for the railway traffic. The signaling system adopted in this work is the moving block signaling system. In our model, the distance between the following train and its leading train takes into account the velocity of the leading train. The simulation results demonstrate that our model is suitable for simulating the railway traffic. Compared our scheme to the traditional moving-space-block scheme, it is obvious that using our scheme, not only the line capacity can be increased, but also the traffic flow states are safer.

MODELING FIXED-BLOCK RAILWAY SIGNALING SYSTEM USING CELLULAR AUTOMATA MODEL

2005 ◽  
Vol 16 (11) ◽  
pp. 1793-1801 ◽  
Author(s):  
BIN NING ◽  
KE-PING LI ◽  
ZI-YOU GAO
Keyword(s):  
Cellular Automata ◽  
Time Diagram ◽  
Signaling System ◽  
Cellular Automata Model ◽  
Railway Traffic ◽  
Proposed Model ◽  
Railway System ◽  
Ca Model ◽  
Complex Phenomena ◽  
Insight Into

In this paper, we propose a new cellular automata model to simulate the railway traffic. The proposed model is based on deterministic NaSch traffic model. The signaling system adopted in this work is the three-aspect fixed-block signaling system. In order to obtain insight into the characteristic behavior of the railway signaling system, we analyze the space-time diagram of traffic flow and the trajectory of train movement etc. The simulation results demonstrate that the proposed CA model can be successfully used for the simulations of railway signaling system. Some complex phenomena observed in railway system can be reproduced.

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