scholarly journals Modeling the Effects of Bus Stops on Bicycle Traffic Flow by Cellular Automata

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Zhaoguo Huang ◽  
Xiucheng Guo ◽  
Chunbo Zhang ◽  
Hongying Zhang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Cellular Automation ◽  
Bus Stop ◽  
Specific Effects ◽  
Ca Model ◽  
Bus Stops ◽  
Space Restriction

Since currently huge traffic demands for public bus and bicycles exist in the majority of cities of China, it is highly likely that the bus stop has undeniable impacts on the bicycle flow that is close to the bus stop. In this paper, we proposed the test in several bicycle paths beside bus stops in Nanjing and aimed at exploring the specific effects of bus stop on the bicycle flow nearby. We assumed there were two such effects: space restriction and pedestrian conflicts. Further, we built up a cellular automation (CA) model to study the feature of these effects and find out not only the outcome of these two effects, but also the inner correlation between them.

Optimization driven cellular automata for traffic flow prediction at signalized intersections

2021 ◽  
Vol 40 (1) ◽  
pp. 1547-1566
Author(s):  
Shuang You ◽  
Yaping Zhou
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Fitness Function ◽  
Traffic Density ◽  
Traffic Flows ◽  
Average Speed ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Ca Model ◽  
Signalised Intersection

The traffic flow prediction using cellular automata (CA) is a trendy research domain that identified the potential of CA in modelling the traffic flow. CA is a technique, which utilizes the basic units for describing the overall behaviour of complicated systems. The CA model poses a benefit for defining the characteristics of traffic flow. This paper proposes a modified CA model to reveal the prediction of traffic flows at the signalised intersection. Based on the CA model, the traffic density and the average speed are computed for studying the characteristics and spatial evolution of traffic flow in signalised intersection. Moreover, a CA model with a self-organizing traffic signal system is devised by proposing a new optimization model for controlling the traffic rules. The Sunflower Cat Optimization (SCO) algorithm is employed for efficiently predicting traffic. The SCO is designed by integrating the Sunflower optimization algorithm (SFO) and Cat swarm optimization (CSO) algorithm. Also, the fitness function is devised, which helps to guide the control rules evaluated by traffic simulation using the CA model. Thus, the cellular automaton is optimized using the SCO algorithm for predicting the traffic flows. The proposed Sunflower Cat Optimization-based cellular automata (SCO-CA) outperformed other methods with minimal travel time, distance, average traffic density, and maximal average speed.

Multi-fractal analysis for vehicle distribution based on cellular automation model

2015 ◽  
Vol 29 (26) ◽  
pp. 1550153
Author(s):  
Yong Zhang ◽  
Shi-Gao Li
Keyword(s):  
Traffic Flow ◽  
Relative Size ◽  
Average Density ◽  
Height Difference ◽  
Cellular Automation ◽  
Ca Model ◽  
Fractal Spectrum ◽  
Fractal Characteristics ◽  
Left And Right ◽  
Cellular Automation Model

It is well known that traffic flow presents multi-fractal characteristics at time scales. The aim of this study is to test its multi-fractality at spacial scales. The vehicular cellular automation (CA) model is chosen as a tool to get vehicle positions on a single lane road. First, multi-fractal of vehicle distribution is checked, and multi-fractal spectrums are plotted. Second, analysis results show that the width of a multi-fractal spectrum expresses the ratio of the maximum to minimum densities, and the height difference between the left and right vertexes represents the relative size between the numbers of sections with the maximum and minimum densities. Finally, the effects of the random deceleration probability and the average density on homogeneity of vehicle distribution are analyzed. The results show that random deceleration increases the ratio of the maximum to minimum densities, and deceases the relative size between the numbers of sections with the maximum and minimum densities, when the global density is limited to a specific range. Therefore, the multi-fractal spectrum can be used to quantify the homogeneity of spacial distribution of traffic flow.

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.

scholarly journals A Cellular Automata Traffic Flow Model considering Bus Lane Changing Behavior with Scheduling Parameters

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Zun-dong Zhang ◽  
Yan-fang Yang ◽  
Wenjiao Qi ◽  
Abderrahim Chariete ◽  
Xing-xiang Lin
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Model ◽  
Flow Density ◽  
Mixed Traffic ◽  
Lane Changing ◽  
Traffic Flow Model ◽  
Mixed Traffic Flow ◽  
Bus Lane ◽  
Bus Stops

According to different driving behavioral characteristics of bus drivers, a cellular automata traffic model considering the bus lane changing behavior with scheduling parameters is proposed in this paper. Traffic bottleneck problems caused by bus stops are simulated in multiple lanes roads with no-bay bus stations. With the mixed traffic flow composed of different bus arrival rate, flow-density graph, density distribution graph, and temporal-spatial graph are presented. Furthermore, the mixed traffic flow characteristics are analyzed. Numerical experiment results show that the proposed model can generate a variety of complicated realistic phenomena in the traffic system with bus stops and provide theoretical basis for better using of traffic flow model.

scholarly journals Feature Analysis on Mixed Traffic Flow of Manually Driven and Autonomous Vehicles Based on Cellular Automata

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xinghua Hu ◽  
Mengyu Huang ◽  
Jianpu Guo
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Autonomous Vehicles ◽  
Theoretical Basis ◽  
Flow Model ◽  
Maximum Flow ◽  
Feature Analysis ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
Ca Model

This paper attempts to disclose the features of the mixed traffic flow of manually driven vehicles (MVs) and autonomous vehicles (AVs). Considering dynamic headway, the mixed traffic flow was modelled based on the improved single-land cellular automata (CA) traffic flow model (DHD) proposed by Zhang Ningxi. The established CA model was adopted to obtain the maximum flow of the mixed traffic flow and was analyzed under different proportions of AVs. On this basis, the features of the mixed traffic flow were summarized. The main results are as follows: the proportion of AVs has a significant impact on the mixed traffic flow; when the proportion reached 0.6, the flow of the whole lane was twice that of the MV traffic flow. At a low density, the AV proportion has an obvious influence on mixed traffic flow. At a high density, the mixed traffic flow changed very little, as the AV proportion increased from 0 to 5. The reason is that the flow of the whole lane is constrained by the fact that MVs cannot move faster. However, when the AV proportion reached 0.8, the flow of the whole lane became three times that at the proportion of 0.6. At the speed of 126 km/h, the flow rate was 2.5 times the speed limit of 54 km/h. The findings lay a theoretical basis for the modelling of multilane mixed traffic flow.

Time-Space Research of the Two Safety Deceleration Models

2014 ◽  
Vol 496-500 ◽  
pp. 2950-2954
Author(s):  
Wei Jun Pan ◽  
Na Lu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Original Model ◽  
Space Research ◽  
Traffic Model ◽  
Time Space ◽  
Proposed Model ◽  
Ca Model ◽  
Combined Action ◽  
Real Traffic

The SDNS cellular automata (CA) traffic model is chosen as the method to point out the fault in the original model by analyzing the condition of safety deceleration. An improved CA model is proposed in this paper through adjustment of the evolution steps and the redefinition of safe deceleration conditions. Thousands of simulations have been carried out. Comparing with SDNS model and original safety deceleration model with the proposed model in this paper, when emerging congestion, the combined action of urging and safe deceleration enabled system self-adjustment so that efficiently mitigated congestion. This proves that the stop status of the whole traffic flow has been improved, which have been observed in real traffic.

scholarly journals Cellular Automata Based Modeling for Evaluating Different Bus Stop Designs in China

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Haoyang Ding ◽  
Wei Wang ◽  
Tianming Luo ◽  
Zhen Yang ◽  
Ye Li ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Inflow Rate ◽  
Passenger Transport ◽  
Transport Capacity ◽  
Mixed Traffic Flow ◽  
Bus Stop ◽  
Traffic Conflicts ◽  
Bus Stops

A cellular automaton model is proposed to simulate mixed traffic flow composed of motor vehicles and bicycles near bus stops. Three typical types of bus stops which are common in China are considered in the model, including two types of curbside bus stops and one type of bus bay stops. Passenger transport capacity of three types of bus stops, which is applied to evaluate the bus stop design, is calculated based on the corresponding traffic flow rate. According to the simulation results, the flow rates of both motor vehicles and bicycles exhibit phase transition from free flow to the saturation one at the critical point. The results also show that the larger the interaction between motor vehicle and bicycle flow is near curbside bus stops, the more the value of saturated flows drops. Curbside bus stops are more suitable when the conflicts between two flows are small and the inflow rate of motor vehicles is low. On the contrary, bus bay stops should be applied due to their ability to reduce traffic conflicts. Findings of this study can provide useful suggestions on bus stop selection considering different inflow rate of motor vehicles and bicycles simultaneously.

Flow Comparison of the Traffic Model Based on Safe Driving

2014 ◽  
Vol 496-500 ◽  
pp. 2937-2941
Author(s):  
Wei Jun Pan ◽  
Chen Yu Huang
Keyword(s):  
Cellular Automata ◽  
Numerical Simulations ◽  
Traffic Flow ◽  
Critical Density ◽  
Stable State ◽  
Traffic Model ◽  
Safe Driving ◽  
Model Based ◽  
Ca Model ◽  
The Stability

Based on the SDNS cellular automata (CA) traffic model, the safe driving CA model has been proposed by considering the condition of having a stationary vehicle ahead. In this paper, this model was improved by analyzing the condition of safe deceleration, and also another single lane traffic CA model emphasizing high safety was proposed. The new safe driving rule was introduced based on the ascertained deceleration and distance ahead. Numerical simulations have been carried out. The results indicate the increase of traffic flow and the stability of the whole system, and also reveal the presence of meta-stable state near the critical density.

The influence of bus stop on traffic flow with velocity-difference-separation model

2016 ◽  
Vol 27 (11) ◽  
pp. 1650135 ◽  
Author(s):  
Pengjun Zheng ◽  
Wei Wang ◽  
Hongxia Ge
Keyword(s):  
Traffic Flow ◽  
Urban Traffic ◽  
Traffic Density ◽  
Mixed Traffic ◽  
Velocity Difference ◽  
Mixed Traffic Flow ◽  
Bus Stop ◽  
Traffic State ◽  
Bus Stops ◽  
Separation Model

Based on velocity-difference-separation model, the mixed traffic flow on two-lane road is investigated. For a fixed road length, the influence of bus and bus stops on traffic flow is studied with the increasing traffic density. Compared with the result without bus stops given by Li et al., a new traffic state is found, which is valuable for studying the impacts of public transport on urban traffic flow.

A Cellular Automaton Model for Highway: Considering Multi-Lane Traffic Rules

2014 ◽  
Vol 587-589 ◽  
pp. 2213-2219 ◽  
Author(s):  
Hong Jia Zhu ◽  
Dan Wang ◽  
Ji Biao Zhou
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Maximum Speed ◽  
Lane Changing ◽  
Traffic Characteristics ◽  
Microscopic Models ◽  
Daunting Task ◽  
Micro Simulation ◽  
Ca Model ◽  
The Impact

Vehicular flow in highway is inherently complex and development of microscopic models of vehicular flow has been a daunting task for researchers. This paper presents the use of Cellular automata (CA) micro simulation for modeling multi-lane traffic characteristics in highway, as well as considering the average speed difference (ASD) and lane-changing rules (LCR) in the CA model. Firstly, on the base of the Symmetric Two-Lane Cellular Automata (STCA) model, we analyzed the impact on traffic characteristics, through adjusting the maximum speed and lane-changing rules. Secondly, by the micro simulation, the relationships between speed and density in traffic flow were given considering the ASD and the LCR. The simulation results showed that, (a) the more obvious of speed dispersion, the more serious about speed declining, (b) the speed of overall traffic flow slowed down by 163% under extreme conditions, (c) the more reckless of lane-changing rule drivers used, the higher speed of traffic flow can reach.

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