CELLULAR AUTOMATON MODEL SIMULATING TRAFFIC FLOW AT AN UNCONTROLLED T-SHAPED INTERSECTION

Traffic flow at an uncontrolled T-shaped intersection is modelled by a cellular automaton model. A priority probability of the through car is introduced. The phase diagram of the system and the effect of the turning car on the whole traffic situation are investigated. Our simulation results suggest that priority should be given to either through cars or to turning cars according to the ratio of the turning cars in order to obtain the optimization of the system.

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EFFECTS OF RIGHT-TURN VEHICLES ON TRAFFIC FLOW

International Journal of Modern Physics C ◽

10.1142/s0129183112500106 ◽

2012 ◽

Vol 23 (02) ◽

pp. 1250010 ◽

Cited By ~ 6

Author(s):

HUA-YAN SHANG ◽

HAI-JUN HUANG ◽

WEN-XIANG WU

Keyword(s):

Cellular Automaton ◽

Traffic Flow ◽

Cellular Automaton Model ◽

Ring Road ◽

Simulation Results ◽

The Right ◽

Real Traffic

In real traffic, the right-turn vehicles at intersections are not controlled by signal lights and their effects are neglected. In this paper, we develop a cellular automaton model to formulate the complicated turning behaviors of vehicles at intersections. Simulation results are quite in accord with the observation on the Beijing's 4th ring road. It is found that the right-turn vehicles may produce queue near the intersection, a short lane designed for right-turn has prominent effect in improving traffic flow, but, a too long lane for right-turn cannot further decrease the stop ratio as expected. These findings deepen our understanding on the effects of right-turn vehicles and may help the design and management of intersections.

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Effects of the Visibility on Traffic Flow

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.178-181.1782 ◽

2012 ◽

Vol 178-181 ◽

pp. 1782-1785

Author(s):

Ke Zhao Bai ◽

Li Yang ◽

Jian Huang ◽

Rong Sen Zheng ◽

Hua Kuang

Keyword(s):

Boundary Condition ◽

Cellular Automaton ◽

Flux Density ◽

Traffic Flow ◽

Cellular Automaton Model ◽

Open Boundary ◽

Open Boundary Condition ◽

Traffic Jams ◽

Simulation Results ◽

Set Up

Based on the NaSch model, an extended cellular automaton model is proposed to simulate traffic flow by considering the effects of visibility. Under the open boundary condition, the influences of the injection probability, disappearance probability and visibility are discussed. The simulation results show that the injection probability and disappearance probability within a certain range have an important effect on the flux, density and velocity. And traffic jams often occur in poor visibility areas, which can become a road bottleneck. Furthermore, in order to effectively decrease the occurrence of traffic jams, the injection probability and disappearance probability should be set up reasonably.

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Study on Simulation Model of the Cellular Automaton for Passive Lane-Changing Based on the Avoidance of the Prospective Following Vehicle

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.268-270.1627 ◽

2011 ◽

Vol 268-270 ◽

pp. 1627-1632

Author(s):

Jing Bian ◽

Hong Zhuang ◽

Wei Li

Keyword(s):

Simulation Model ◽

Cellular Automaton ◽

Traffic Flow ◽

Traffic Simulation ◽

Hybrid Vehicles ◽

Cellular Automaton Model ◽

Lane Changing ◽

Cellular Automation ◽

Simulation Results ◽

Cellular Automation Model

It is the key fact for the accuracy of traffic simulation that the cellular automation model of traffic flow could simulate the real hybrid traffic flow. This article shows the method to improve cellular automaton model about two-lane hybrid vehicles based on passive lane-changing, to propose the avoidance rules about the prospective following vehicle, and to suggest the cellular automaton model and evolution rules based on the prospective following vehicle’s avoider. The simulation results show that the erroneous judgment rate for changing lane is the important facts for the state of two-lane hybrid traffic flow, and the accuracy of the simulation is improved in this article.

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A MODIFIED CELLULAR AUTOMATON MODEL FOR RING ROAD TRAFFIC WITH VELOCITY GUIDANCE

International Journal of Modern Physics C ◽

10.1142/s0129183109013935 ◽

2009 ◽

Vol 20 (05) ◽

pp. 711-719 ◽

Cited By ~ 2

Author(s):

C. Q. MEI ◽

H. J. HUANG ◽

T. Q. TANG

Keyword(s):

Cellular Automaton ◽

Traffic Flow ◽

Road Traffic ◽

Red Light ◽

Cellular Automaton Model ◽

Traffic Density ◽

Traffic Light ◽

Ring Road ◽

Detector Position ◽

Simulation Results

We present a modified cellular automaton model to study the traffic flow on a signal controlled ring road with velocity guidance. The velocity guidance is such a strategy that when vehicles approach the traffic light, suggested velocities are provided for avoiding the vehicles' sharp brakes in front of red light. Simulation results show that this strategy may significantly reduce the vehicles' stopping rate and the effect size is dependent upon the traffic density, the detector position, the signal's cycle time and the obedience rate of vehicles to the guidance.

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