Cellular automaton simulation of muti-lane traffic flow including emergency vehicle

Zhao, Hantao; Mao, Hongyan

doi:10.7498/aps.62.060501

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…Furthermore, analyses of the driver's characteristics about behaviors [5] was carried out, promoting the study of cellular automata in the field of microscopic traffic flow. With the development of computer and programming as well as the model's rules, the condition was extended to multilane [6], and the lane-changing rules were taken into account [7]. Besides, the dimension of the model was extended to two-dimensional, resulting in a network model [8].…”

Section: Introductionmentioning

confidence: 99%

A Cellular Automaton Model for Highway: Considering Multi-Lane Traffic Rules

Zhu

Wang

Zhou

2014

AMM

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Vehicular flow in highway is inherently complex and development of microscopic models of vehicular flow has been a daunting task for researchers. This paper presents the use of Cellular automata (CA) micro simulation for modeling multi-lane traffic characteristics in highway, as well as considering the average speed difference (ASD) and lane-changing rules (LCR) in the CA model. Firstly, on the base of the Symmetric Two-Lane Cellular Automata (STCA) model, we analyzed the impact on traffic characteristics, through adjusting the maximum speed and lane-changing rules. Secondly, by the micro simulation, the relationships between speed and density in traffic flow were given considering the ASD and the LCR. The simulation results showed that, (a) the more obvious of speed dispersion, the more serious about speed declining, (b) the speed of overall traffic flow slowed down by 163% under extreme conditions, (c) the more reckless of lane-changing rule drivers used, the higher speed of traffic flow can reach.

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Section: Introductionmentioning

confidence: 99%

A Cellular Automaton Model for Highway: Considering Multi-Lane Traffic Rules

Zhu

Wang

Zhou

2014

AMM

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Cellular automaton models for traffic flow considering opposite driving of an emergency vehicle

Zhao

Nie

2015

Int. J. Mod. Phys. C

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Aiming at two-lane road, this paper establishes three models to analyze the opposite-overtaking rules of emergency vehicle based on cellular automaton (CCA) model. Based on the simulation of mixed traffic flow for multi-density conditions, the density-speed diagrams have been obtained consequently. According to the analysis, when the traffic density of the opposite lane is low, the opposite driving behavior of emergency vehicle can improve the average speed effectively. At the same time, if the cocurrent lane is in high-density traffic, the traffic in the opposite lane will be disturbed, but the vehicles in the cocurrent lane will not be affected. The paper has further discussed the influence of different emergency vehicle driving behaviors on traffic. The results reveal that as the traffic of the opposite lane is in a low-density range, if emergency vehicle operates overtaking behavior precisely, the greater the density of the cocurrent lane is, the more obviously the speed improve. Meanwhile large random fluctuation of overtaking times will occur. While the risky lane change behavior displays different traffic characteristics, that is when the same direction lane is in high density, the speed increases slightly and the lane change number is changed regularly.

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Exploration of a Precise Traffic Restriction Policy on Urban River-Crossing Corridors: A Case Study in Changsha, China

Liu,

Luo,

Wang

2024

SAE Int. J. Sust. Trans., Energy, Env., & Policy

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<div>Many cities are built around rivers in the world, and the river-crossing corridors are often their traffic bottlenecks, leading to severe congestions. Changsha is a city divided into two parts by a river with eight river-crossing corridors in China. Aiming at this issue, take Changsha as an example, this study explores developing a precise traffic restriction policy on those river-crossing corridors. First, an investigation is conducted to collect traffic flow data of those corridors. It is found that those corridors generally have serious congestion at peak hours, but their congestion levels vary greatly by corridor and direction. Then, two Greenberg models are developed for the 4-lane and 6 & 8-lane corridors, respectively, to figure out their traffic flow features. Third, a precise traffic restriction policy that balances traffic flows in different corridors is proposed. It would restrict 10% of motor vehicles on those most congested corridors, and the restricted vehicles are proportionally diverted to the neighboring non-congested corridors by detour distances. Finally, based on the estimated Greenberg models, traffic speeds of those corridors after traffic restrictions are then predicted. It is found that traffic congestions in those congested corridors are greatly alleviated, and the average travel speed of all the corridors increases by 2.8 km/h at the AM peak and 4.5 km/h at the PM peak, respectively.</div>

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Cellular automaton simulation of muti-lane traffic flow including emergency vehicle

Cited by 7 publications

References 15 publications

A Cellular Automaton Model for Highway: Considering Multi-Lane Traffic Rules

A Cellular Automaton Model for Highway: Considering Multi-Lane Traffic Rules

Cellular automaton models for traffic flow considering opposite driving of an emergency vehicle

Exploration of a Precise Traffic Restriction Policy on Urban River-Crossing Corridors: A Case Study in Changsha, China

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