Traffic states and fundamental diagram in cellular automaton model of vehicular traffic controlled by signals

2009 ◽  
Vol 388 (8) ◽  
pp. 1673-1681 ◽  
Author(s):  
Takashi Nagatani
Keyword(s):  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
Vehicular Traffic ◽  
Fundamental Diagram

scholarly journals An Improved Single-Lane Cellular Automaton Model considering Driver’s Radical Feature

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xu Qu ◽  
Mofeng Yang ◽  
Fan Yang ◽  
Bin Ran ◽  
Linchao Li
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Early Stage ◽  
Cellular Automaton Model ◽  
Fundamental Diagram ◽  
Flow Models ◽  
Car Following ◽  
Speed Difference ◽  
Density State ◽  
Traffic Flow Models

Traffic flow models are of vital significance to study the traffic system and reproduce typical traffic phenomena. In the process of establishing traffic flow models, human factors need to be considered particularly to enhance the performance of the models. Accordingly, a series of car-following models and cellular automaton models were proposed based on comprehensive consideration of various driving behaviors. Based on the comfortable driving (CD) model, this paper innovatively proposed an improved cellular automaton model incorporating impaired driver’s radical feature (RF). The impaired driver’s radical feature was added to the model with respect to three aspects, that is, desired speed, car-following behavior, and braking behavior. Empirical data obtained from a highway segment was used to initialize impaired driver’s radical feature distribution and calibrate the proposed model. Then, numerical simulations validated that the proposed improved model can well reproduce the traffic phenomena, as shown by the fundamental diagram and space-time diagram. Also, in low-density state, it can be found that the RF model is superior to the CD model in simulating the speed difference characteristics, where the average speed difference of adjacent vehicles for RF model is more consistent with reality. The result also discussed the potential impact of impaired drivers on rear-end collisions. It should be noted that this study is an early stage work to evaluate the existence of impaired driving behavior.

A REALISTIC TWO-LANE CELLULAR AUTOMATON MODEL FOR TRAFFIC FLOW

2004 ◽  
Vol 15 (03) ◽  
pp. 381-392 ◽  
Author(s):  
BIN JIA ◽  
RUI JIANG ◽  
QING-SONG WU
Keyword(s):  
Cellular Automaton ◽  
Homogeneous System ◽  
Cellular Automaton Model ◽  
Inhomogeneous System ◽  
Qualitative Properties ◽  
Fundamental Diagram ◽  
Lane Changing ◽  
Traffic System ◽  
Velocity Effect ◽  
Honk Effect

This paper extends a recently proposed single-lane cellular automaton model [Li et al., Phys. Rev. E64, 066128 (2001)], which considers the velocity effect of the preceding car, to two-lane traffic system. The traffic behaviors in both homogeneous system and inhomogeneous system are investigated. For homogeneous traffic, it is shown that the velocity effect enhances the maximum flux but does not change the qualitative properties of the fundamental diagram. Nevertheless, the qualitative changes of the lane changing frequency and congested pattern occur. In the inhomogeneous system, the honk effect is studied. It is found that the honk effect first strengthens then weakens with the increase of R, the ratio of slow cars to all cars.

SYNCHRONIZED FLOW AND PHASE SEPARATION IN A TWO-LANE CELLULAR AUTOMATON MODEL

2007 ◽  
Vol 18 (02) ◽  
pp. 267-279 ◽  
Author(s):  
YAO-MING YUAN ◽  
RUI JIANG ◽  
QING-SONG WU ◽  
RUILI WANG
Keyword(s):  
Phase Separation ◽  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
The Other ◽  
Free Flow ◽  
Density Range ◽  
Fundamental Diagram ◽  
Empirical Observation ◽  
Lane Changing ◽  
Rule Set

This paper extends a cellular automaton model, named modified comfortable driving (MCD) model, to a two-lane roadway. A symmetric lane-changing rule set has been proposed (Set I). The fundamental diagram, the lane-changing frequency and space-time plots are presented. It is found that for the two-lane model, there exists a density range in which phase separation between synchronized flow and wide-moving jams on one lane, and between light synchronized flow and heavy synchronized flow on the other lane, can be maintained for quite long periods of time. In this density range, (i) the outflow from jams is synchronized flow; (ii) wide moving jams are sparse. These are consistent with the empirical observation. We also investigate a slightly different lane-changing rule Set II in which stopped vehicles are not allowed to change lane. It is shown that in this case, the phase separation, between free flow and wide moving jams on one lane and between free flow and heavy synchronized flow on the other lane, can be maintained for sufficiently long periods of time. Consequently, the flux is enhanced comparing to that of rule Set I.

Simulation study of overtaking in pedestrian flow using floor field cellular automaton model

2017 ◽  
Vol 28 (05) ◽  
pp. 1750059 ◽  
Author(s):  
Zhijian Fu ◽  
Liang Xia ◽  
Hongtai Yang ◽  
Xiaobo Liu ◽  
Jian Ma ◽  
...  
Keyword(s):  
Cellular Automaton ◽  
Normal State ◽  
Past Research ◽  
Cellular Automaton Model ◽  
Pedestrian Flow ◽  
Fundamental Diagram ◽  
Tactical Decision ◽  
Floor Field ◽  
Walking Environment ◽  
Moving Path

Properties of pedestrian may change along the moving path, for example, as a result of fatigue or injury, which has never been properly investigated in the past research. The paper attempts to study tactical overtaking in pedestrian flow. That is difficult to be modeled using a microscopic discrete model because of the complexity of the detailed overtaking behavior, and crossing/overlaps of pedestrian routes. Thus, a multi-velocity floor field cellular automaton model explaining the detailed psychical process of overtaking decision was proposed. Pedestrian can be either in normal state or in tactical overtaking state. Without tactical decision, pedestrians in normal state are driven by the floor field. Pedestrians make their tactical overtaking decisions by evaluating the walking environment around the overtaking route (the average velocity and density around the route, visual field of pedestrian) and obstructing conditions (the distance and velocity difference between the overtaking pedestrian and the obstructing pedestrian). The effects of tactical overtaking ratio, free velocity dispersion, and visual range on fundamental diagram, conflict density, and successful overtaking ratio were explored. Besides, the sensitivity analysis of the route factor relative intensity was performed.

Carbon dioxide emission in a single-lane cellular automaton model with a series of traffic lights

2020 ◽  
Vol 31 (11) ◽  
pp. 2050154
Author(s):  
H. Binoua ◽  
H. Ez-Zahraouy ◽  
A. Khallouk ◽  
N. Lakouari
Keyword(s):  
Energy Dissipation ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Control Method ◽  
Carbon Dioxide Emission ◽  
Cellular Automaton Model ◽  
Traffic Light ◽  
Fundamental Diagram ◽  
Traffic Lights ◽  
Synchronized Control

In this paper, we propose a cellular automaton model to simulate traffic flow controlled by a series of traffic lights. The synchronized traffic light and the green wave light strategies were investigated. The spatiotemporal diagrams, energy dissipation, and CO2 emission of the system were presented. Our simulations are conducted to clarify the difference between both strategies and their effects on the traffic flow and the CO2 emission. We found that the traffic flow depends mainly on the strategy used for managing the traffic lights as well as on the parameters of the traffic lights, namely the cycle length, the number of traffic lights and the length of the system. The fundamental diagram has barely the same characteristics for both methods and it depends on the combination of the parameters of the system. We find that the green wave is more convenient for the management of a series of traffic lights than the synchronized control strategy in terms of throughput, especially for large-sized systems. Unlike in terms of CO2 emission and energy dissipation, both control strategies outperform each other depending on the density regions and the parameters of the system. Finally, we investigate the effect of both cycles (i.e. red and green) for the synchronized control method on the CO2 emission. It is found that the green cycle generates often a series of acceleration events that increase CO2 emission.

scholarly journals A Cellular Automaton Model for Traffic Flow -Investigating the Effect of Turning

2014 ◽  
Vol 12 (1) ◽  
Author(s):  
Tracy Finner ◽  
Matthew Beauregard
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Power Law ◽  
Average Velocity ◽  
Cellular Automaton Model ◽  
Light Cycle ◽  
Vehicular Traffic ◽  
Traffic Light ◽  
Vehicular Traffic Flow

A cellular automaton model is proposed, modeling vehicular traffic flow on a two dimensional lattice in which the vehicles turn at an intersection with a given probability. It is shown that the introduction of turning reduces the long-term average velocity, and can be predicted by a power law depending on the probability of a vehicle turning and the density of cars. The reduction in speed decreases rapidly once the light cycle length surpasses a certain threshold, the value of which can be predicted from the observed power law. Keywords: cellular automaton, traffic flow, traffic light strategy, turning, dynamical systems, power law

scholarly journals A CELLULAR AUTOMATON MODEL FOR THE TRAFFIC FLOW IN BOGOTÁ

2004 ◽  
Vol 15 (10) ◽  
pp. 1397-1411 ◽  
Author(s):  
L. E. OLMOS ◽  
J. D. MUÑOZ
Keyword(s):  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
Model Parameters ◽  
Qualitative Behavior ◽  
Fundamental Diagram ◽  
The Road ◽  
Congested Traffic ◽  
Direct Measurements ◽  
Traffic Behavior ◽  
Good Agreement

In this work, we propose a car cellular automaton model that reproduces the experimental behavior of traffic flows in Bogotá. Our model includes three elements: hysteresis between the acceleration and brake gaps, a delay time in the acceleration, and an instantaneous brake. The parameters of our model were obtained from direct measurements inside a car on motorways in Bogotá. Next, we simulated this model with the flux-density fundamental diagram for a single-lane traffic road and compared it with experimental data. Our simulations are in very good agreement with the experimental measurements, not just in the shape of the fundamental diagram, but also in the numerical values for both the road capacity and the density of maximal flux. Our model reproduces, too, the qualitative behavior of shock waves. In addition, our work identifies the periodic boundary conditions as the source of false peaks in the fundamental diagram, when short roads are simulated, that have also been found in previous works. The phase transition between free and congested traffic is also investigated by computing both the relaxation time and the order parameter. Our work shows how different the traffic behavior from one city to another can be, and how important to determine the model parameters for each city.

An Interval Type-2 Fuzzy Cellular Automaton Model for Traffic Flow

2013 ◽  
Vol 756-759 ◽  
pp. 4423-4428 ◽  
Author(s):  
Jie Dong ◽  
Xiao Mei Zhang
Keyword(s):  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
Highway Traffic ◽  
Fundamental Diagram ◽  
New Model ◽  
Traffic Characteristics ◽  
Stop And Go ◽  
Interval Type ◽  
Logic System

On the basis of Nagel-Schreckenberg model, this paper presents a modified fuzzy cellular automaton model for one-lane highway traffic. An interval type-2 fuzzy logic system is designed to evaluate the randomization parameter of a vehicle based on the spatial headway and speed difference. Some basic qualitative results and the fundamental diagram of our new model are got through computer numerical simulations. The experimental results show that our new model is able to reproduce some of the real macroscopic traffic characteristics such as stop-and-go waves, hysteresis and metastability phenomena.

Sign in / Sign up

Export Citation Format

Share Document