Review of the cellular automata models for reproducing synchronized traffic flow

Tian, Junfang; Zhu, Chenqiang; Jiang, Rui; Treiber, Martin

doi:10.1080/23249935.2020.1810820

Cited by 13 publications

(10 citation statements)

References 98 publications

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“…Through the difference in acceleration and deceleration behavior under different driving conditions, the Jiang and Wu model was improved by Tian et al (2009) , and the deceleration difference was used to reproduce the synchronous flow. Tian et al (2021) discussed the cellular automata model for studying synchronous flow in traffic flow. And the importance of randomness in cellular automata model is proposed.…”

Section: Introductionmentioning

confidence: 99%

Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm

Deng

Shao

Song

et al. 2022

PeerJ Computer Science

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With the rise of new technologies such as the Internet of Vehicles and the Internet of Things, research on the intelligent connected vehicle has become a hot topic in contemporary times. The modeling and simulation of traffic flow are mainly used to analyze the characteristics of traffic flow and study the formation and dissipation mechanism of traffic congestion to better guide the real traffic. Cellular automata are suitable for the simulation of complex giant systems. Because of the randomness and discreteness of vehicle driving, cellular automata are often used to model and analyze traffic flow. This article mainly studies the traffic flow formed by intelligent connected vehicles. Based on the traditional NaSch model, the producer-consumer algorithm is introduced to form a multi-buffer vehicle information access mode, and an improved cellular automata model with random updates is constructed. The simulation results show that the improved cellular automata model improves the traffic congestion significantly compared with the original NaSch model in the intelligent network environment, which is consistent with the actual traffic situation. Therefore, the algorithm proposed in this article can effectively simulate the traffic flow characteristics of intelligent connected vehicles, and provide a theoretical basis for solving traffic problems.

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Section: Introductionmentioning

confidence: 99%

Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm

Deng

Shao

Song

et al. 2022

PeerJ Computer Science

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“…The large amount of data collected from real trac conditions and the accurate analysis, foster speed regulator designers to devise models that reproduce the observed dynamics [9,12,19,17,20]. These models introduce new parameters, such as probabilities, that are wisely tuned to reproduced the observed dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…Interestingly, the condition d ≥ v a plays a similar role as the synchronization distance in the KKW-model [9,20].…”

Section: Introductionmentioning

confidence: 99%

Maximum Traffic Flow Patterns in Interacting Autonomous Vehicles

Cohen

Chopard

Leone

2022

Lecture Notes in Computer Science

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We consider the auto-organization of a set of autonomous vehicles following each other on either an innite or circular road. The behavior of each car is specied by its "speed regulator", a device that decides to increase or decrease the speed of the car as a function of the head-tail distance to its predecessor and the speed of both cars. A collective behavior emerges that corresponds to previously proposed cellular automata trac models. We further analyze the trac patterns of the system in the long term, as governed by the speed regulator and we study under which conditions trac patterns of maximum ow can or cannot be reach. We show the existence of suboptimal ow conditions that require external coordination mechanisms (that we don not consider in this paper) in order to reach the optimal ow achievable with the given density.

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“…Some typical extended works, such as the model proposed by Khan et al [11], considered transition velocities, the extended speed gradient model with different kinds of vehicles [12], the lattice hydrodynamic model with a consideration of traffic interruption [13], etc. In addition, there are many other famous traffic models such as intelligent driver models [14][15][16], cellular automaton models [17][18][19], cell transmission models [20][21][22], etc. They are also extensively used to describe many kinds of real traffic phenomena.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Zhu et al [28] introduced a time-discrete car-following model by writing the continuous equation into a difference equation. In addition, cellular automaton models [17][18][19] can be categorized as a kind of time-discrete traffic model. The traffic flow properties of cellular automaton models are simulated by the four rules of acceleration, deceleration, randomization and vehicle motion.…”

Section: Introductionmentioning

confidence: 99%

Study on the Lyapunov Stability of a Time-Discrete Macro Traffic System with Variable Delay and Feedback Control

et al. 2021

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This paper constructs and analyzes a time-discrete macro traffic system with bounded variable delay and feedback control strategy. By theoretical analysis using the Lyapunov theorem, a stable condition of the macro traffic system is derived under which traffic jams can be suppressed. The traffic developing properties of the new traffic system for different variable delay and feedback control parameters are illustrated through simulation. The results show that variable delay can easily lead a traffic system to evolve into a traffic jam, and the feedback control strategy can enhance the stability of the traffic system with respect to variable delay. Moreover, the traffic unstable level caused by variable delay is less than the unstable extent caused by the constant upper bound of variable delay; still it is more serious than the traffic fluctuation caused by the constant lower bound of variable delay.

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Review of the cellular automata models for reproducing synchronized traffic flow

Cited by 13 publications

References 98 publications

Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm

Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm

Maximum Traffic Flow Patterns in Interacting Autonomous Vehicles

Study on the Lyapunov Stability of a Time-Discrete Macro Traffic System with Variable Delay and Feedback Control

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