Phase diagrams of heterogeneous traffic flow at a single intersection in a deterministic Fukui-Ishibashi cellular automata traffic model

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.

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A NOVEL METHOD TO ANALYZE PHASE DIAGRAMS FOR TRAFFICS ON THE CROSSROAD

International Journal of Modern Physics C ◽

10.1142/s0129183112500684 ◽

2012 ◽

Vol 23 (10) ◽

pp. 1250068 ◽

Cited By ~ 4

Author(s):

QI-LANG LI ◽

RUI JIANG ◽

BING-HONG WANG ◽

MU-REN LIU

Keyword(s):

Computer Simulation ◽

Phase Diagrams ◽

Traffic Flow ◽

Occupation Probability ◽

Traffic Model ◽

Probability Method ◽

The Novel ◽

Novel Method ◽

Simulation Results ◽

Good Agreement

Traffic flow at a single crossroad consisting of two perpendicular one-lane roads, treated earlier by Ishibashi and Fukui [J. Phys. Soc. Jpn.70, 2793 (2001); 70, 3747 (2001)], has been studied on the basis of the local occupation probability method. However, in this work, based on the novel theoretical analysis and computer simulations, we have studied this crossroad traffic model again and presented the same phase diagrams of traffic flow in the case of various maximum vehicle velocities. We have also derived the flow formulas in all regions in the phase diagrams, which are in good agreement with computer simulation results. Compared with the previous local occupation probability method, our analytical way is simpler and may be widely used for other traffic bottlenecks research.

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An Assessment of Age and Gender Characteristics of Mixed Traffic with Autonomous and Manual Vehicles: A Cellular Automata Approach

Sustainability ◽

10.3390/su12072922 ◽

2020 ◽

Vol 12 (7) ◽

pp. 2922 ◽

Cited By ~ 2

Author(s):

Muhammad Tanveer ◽

Faizan Ahmad Kashmiri ◽

Hassan Naeem ◽

Huimin Yan ◽

Xin Qi ◽

...

Keyword(s):

Cellular Automata ◽

Traffic Flow ◽

Traffic Congestion ◽

Urban Areas ◽

Autonomous Vehicles ◽

Age Groups ◽

Transportation Systems ◽

Heterogeneous Traffic ◽

And Gender ◽

The Impact

Traffic congestion has become increasingly prevalent in many urban areas, and researchers are continuously looking into new ways to resolve this pertinent issue. Autonomous vehicles are one of the technologies expected to revolutionize transportation systems. To this very day, there are limited studies focused on the impact of autonomous vehicles in heterogeneous traffic flow in terms of different driving modes (manual and self-driving). Autonomous vehicles in the near future will be running parallel with manual vehicles, and drivers will have different characteristics and attributes. Previous studies that have focused on the impact of autonomous vehicles in these conditions are scarce. This paper proposes a new cellular automata model to address this issue, where different autonomous vehicles (cars and buses) and manual vehicles (cars and buses) are compared in terms of fundamental traffic parameters. Manual cars are further divided into subcategories on the basis of age groups and gender. Each category has its own distinct attributes, which make it different from the others. This is done in order to obtain a simulation as close as possible to a real-world scenario. Furthermore, different lane-changing behavior patterns have been modeled for autonomous and manual vehicles. Subsequently, different scenarios with different compositions are simulated to investigate the impact of autonomous vehicles on traffic flow in heterogeneous conditions. The results suggest that autonomous vehicles can raise the flow rate of any network considerably despite the running heterogeneous traffic flow.

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A cellular automata model for car–truck heterogeneous traffic flow considering the car–truck following combination effect

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2014.12.020 ◽

2015 ◽

Vol 424 ◽

pp. 62-72 ◽

Cited By ~ 28

Author(s):

Da Yang ◽

Xiaoping Qiu ◽

Dan Yu ◽

Ruoxiao Sun ◽

Yun Pu

Keyword(s):

Cellular Automata ◽

Traffic Flow ◽

Heterogeneous Traffic ◽

Combination Effect ◽

Cellular Automata Model

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Flow Comparison of the Traffic Model Based on Safe Driving

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.496-500.2937 ◽

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.

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