Cellular automaton model considering the effect of brake light and traffic light at the intersection

2019 ◽  
pp. e4251
Author(s):  
Yu-Feng Chen ◽  
Zhang Dong ◽  
Kai Che ◽  
Zheng-Tao Xiang
Keyword(s):  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
Traffic Light ◽  
Brake Light

scholarly journals Modelling Signal Controlled Traffic Based on Driving Behaviors

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Yang Wang ◽  
Yanyan Chen ◽  
Ning Chen
Keyword(s):  
Cellular Automaton ◽  
Numerical Simulations ◽  
Traffic Signal ◽  
Cellular Automaton Model ◽  
Urban Traffic ◽  
Road Segment ◽  
Traffic Light ◽  
Driving Behaviors ◽  
Proposed Model ◽  
Anticipatory Behavior

In urban traffic, of particular interest the traffic breakdown which is primarily resulted from the driving behaviors is emerged to respond to the traffic signal. To investigate the influences of driving behaviors on the traffic breakdown, a cellular automaton model has been developed by incorporating a number of driving behaviors typically manifesting during the different stages when the vehicle approaching a traffic light. Numerical simulations have been performed based on a road segment consisting of three sections and each section is associated with a set of rules. The numerical simulations have demonstrated that the proposed model is capable of producing the time-delayed traffic breakdown and the dissolution of the oversaturated traffic. Furthermore, it has been evidenced that the probability of the traffic breakdown can be increased by involving the slow-to-start behavior. However, the activation of the anticipatory behavior can effectively impede the transition from undersaturated to oversaturated traffic. Finally, the contributions of the driving behaviors on the traffic breakdown have been quantitatively examined.

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.

TRAFFIC FLOW INFLUENCED BY TRAFFIC LIGHT AND TURNING PROBABILITY FOR A CROSSROAD

2004 ◽  
Vol 18 (17n19) ◽  
pp. 2658-2662 ◽  
Author(s):  
HUILI TAN ◽  
CHAOYING ZHANG ◽  
LINGJIANG KONG ◽  
MUREN LIU
Keyword(s):  
Boundary Condition ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Open Boundary ◽  
Open Boundary Condition ◽  
Traffic Light ◽  
Cycle Times ◽  
The Road ◽  
The Impact

A cellular automaton model with open boundary condition for a crossroad system controlled by a traffic light is presented. The traffic flow and speed of the first part of the road are quite different from those of the second part behind the crossing. The impact of turning probabilities and the cycle times of traffic light on the flow are investigated.

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

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

2009 ◽  
Vol 20 (05) ◽  
pp. 711-719 ◽  
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.

scholarly journals RESEARCH OF CONGESTIONS IN URBAN TRANSPORT NETWORK USING CELLULAR AUTOMATION MODEL / SPŪSČIŲ MIESTO TRANSPORTO TINKLE TYRIMAS, TAIKANT LĄSTELINIO AUTOMATO MODELĮ / ИССЛЕДОВАНИЕ ПЕРЕГРУЗКИ ГОРОДСКОЙ ТРАНСПОРТНОЙ СЕТИ С ПРИМЕНЕНИЕМ МОДЕЛИ КЛЕТОЧНОГО АВТОМАТ

Transport ◽  
2011 ◽  
Vol 26 (2) ◽  
pp. 158-165 ◽  
Author(s):  
Janina Jablonskytė ◽  
Jurga Ilgakojytė-Bazarienė ◽  
Artūras Keršys ◽  
Algis Pakalnis
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Urban Transport ◽  
Transport Network ◽  
City Centre ◽  
Traffic Density ◽  
Traffic Flows ◽  
Brake Light ◽  
Traffic Speed

The growing demand for transport and communication services leads to more and more important, traffic related and closely associated problems, especially in the city centre, such as traffic congestion, air pollution, noise and some others. When modelling traffic flows in the Kaunas city centre, the simulation models of crossroads were created based on the principle of cellular automaton model, taking into consideration such relevant traffic indicators as the average speed of traffic flow in different streets, traffic intensity, congestions and distributed flows. Operation of cellular automaton model is associated with the improved approach of further vehicle model. Modelling of microscopic traffic flows is based on the brake light–cellular automaton (BL–CA) model. Random functions were made discreet and autocorrelation values of these functions were calculated in this work. Fundamental macroscopic traffic characteristics were obtained. Numerical dependences of the average traffic speed and traffic flow, traffic density and traffic flow, the average traffic speed and density were determined, with a help of which the demand parameters of transport network were evaluated in the Kaunas city centre in certain time intervals. Santrauka Didėjantis susisiekimo poreikis lemia vis aktualesnes, ypač centrinėse miestų dalyse, tarpusavyje glaudžiai susijusias eismo problemas: eismo spūstys, oro tarša, triukšmas ir kt. Darbe atliekant transporto srautų Kauno miesto centre modeliavimą, sudaryti ląstelinio automato modelio principu veikiantys imitaciniai sankryžų modeliai, įvertinant tokius eismo požiūriu aktualius rodiklius kaip vidutiniai eismo srauto greičiai skirtingose gatvėse, eismo intensyvumas, eismo spūstis ir srautų pasiskirstymas. Ląstelinio automato modelio veikimas susietas su patobulintu tolesnio automobilio modelio priartėjimu. Mikroskopinis eismo srautų modeliavimas paremtas ląstelinio automato (brake-light, BL-CA) modeliu. Darbe diskretizuotos atsitiktinės funkcijos, apskaičiuotos šiųfunkcijų autokoreliacinės reikšmės. Gautos fundamentalios makroskopinės transporto eismo charakteristikos. Nustatytos vidutinio eismo srauto greičio ir eismo srauto, eismo tankio ir eismo srauto, vidutinio eismo srauto greičio ir tankio skaitinės priklausomybės, kuriomis remiantis įvertinti transporto tinklo paklausos parametrai Kauno miesto centre tam tikrais laiko intervalais. Резюме Возрастающая потребность в перемещении приводит к тесно взаимосвязанным проблемам движения: перегрузке движения (заторам), шуму, загрязнению среды и т. д., что проявляется и особенно актуально в центральных частях города. В статье исследуются транспортные потоки в центре города Каунаса (Литва). С использованием принципа модели клеточного автомата (клеточный автомат – это математический объект с дискретными пространством и временем, каждое положение в пространстве представлено отдельной клеткой) созданы действующие имитационные модели перекрестков, учитывающие актуальные с точки зрения движения показатели: среднюю скорость потока движения на различных улицах, интенсивность движения, перегрузку потока и распределенный поток. Работа модели клеточного автомата связана с усовершенствованной моделью приближения следующего автомобиля. Микроскопическое моделирование потоков движения основано на модели клеточного автомата (brake-light, BL-CA). В работе дискретизированы случайные функции, вычислены значения автокорреляции этих функций, получены фундаментальные макроскопические характеристики транспортного движения, установлены числовые зависимости средней скорости потока движения и потока движения, транспортной плотности и потока движения, средней скорости движения и плотности, с помощью которых оценены параметры потребности транспортной сети в центре Каунаса с определенными временными интервалами.

Brake light cellular automaton model with advanced randomization for traffic breakdown

2014 ◽  
Vol 44 ◽  
pp. 282-298 ◽  
Author(s):  
Jun-fang Tian ◽  
Ning Jia ◽  
Ning Zhu ◽  
Bin Jia ◽  
Zhen-zhou Yuan
Keyword(s):  
Cellular Automaton ◽  
Cellular Automaton Model ◽  
Brake Light

Simulation of traffic flow with traffic light strategies via a modified cellular automaton model

2006 ◽  
Vol 10 (3) ◽  
pp. 189-191 ◽  
Author(s):  
Hong-di He ◽  
Li-yun Dong ◽  
Shi-qiang Dai
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Cellular Automaton Model ◽  
Traffic Light
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