An improved two-lane cellular automaton traffic model based on BL-STCA model considering the dynamic lane-changing probability

Xiang, Zhengtao; Gao, Zhan; Zhang, Tao; Che, Kai; Chen, Yufeng

doi:10.1007/s00500-019-03788-9

Cited by 10 publications

(4 citation statements)

References 38 publications

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“…In the future, we will further study the impact of other traffic parameters on intersection traffic flow, 23,24 such as traffic light cycle, mixed traffic flow, and lane-changing behavior. dac.4251…”

Section: Analysis Of Accident Rate Caused By Aggressive Driving Of Th...mentioning

confidence: 99%

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

Chen

Che

Xiang

2019

Int J Communication

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Summary Traffic flow modeling of urban traffic on a single‐lane road with one traffic light operating as a bottleneck is the basis of research on urban road network. By introducing the brake light rules into ChSch model, we proposed a new cellular automaton traffic flow model of intersection considering the effect of brake light and traffic light to avoid running a red light and rear‐end collision. The first vehicle of the vehicle queue formed in front of the stop line at red light (FVoQ) is focused, and the evolution characteristics of intersection traffic flow are analyzed. Results show that the proposed model is more realistic than ChSch model in the following aspects: (a) The FVoQ decelerates more smoothly with the proposed model. The behavior of smooth deceleration reflects the driver's desire of comfortable driving in real traffic. (b) The proportion of the FVoQ's great and sudden deceleration to avoid running a red light is greatly reduced with the proposed model. In ChSch model, the proportion is larger than 80%, while in the proposed model, the proportion is less than 1%. The behavior of great and sudden deceleration reflects the aggressive driving pattern of a few drivers in real traffic. (c) The rear‐end collision accident rate caused by FVoQ's aggressive driving behaviors is greatly reduced with the proposed model, which conforms more to the real traffic.

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Section: Analysis Of Accident Rate Caused By Aggressive Driving Of Th...mentioning

confidence: 99%

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

Chen

Che

Xiang

2019

Int J Communication

Self Cite

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“…Jian et al [16] used cellular automata theory to study the lane-changing process of vehicles on symmetrical two-lane lanes, which formulated the lateral movement rules for vehicle lane-changing, and discussed the relationship between vehicle lane-changing duration and traffic flow density. Xiang et al [17] proposed an improved two-lane cellular automaton traffic flow model with dynamic lane-changing probability considering the influence of brake lights on lane-changing behavior, which effectively improves traffic congestion and inhibits the emergence of wide congestion bands. Taking the viaduct as the object, Jiang et al [18] researched two-lane mixed traffic flow based on cellular automata, which took into account drivers' lanechanging intentions.…”

Section: Introductionmentioning

confidence: 99%

Lane-Changing Model of Intelligent Connected Vehicle Considering the Factor of Turn Signal

Shao

Deng

Song

et al. 2022

Journal of Advanced Transportation

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Unsafe lane-changing behaviors can easily lead to traffic accidents. Drivers usually turn on their turn signals to signal surrounding vehicles before changing lanes. At present, there is a lack of consideration of the impact of turn signals on the lane-changing behavior of intelligent vehicles. Therefore, based on the cellular automata theory, this paper improves the lane-changing rules in the STNS model and proposes a vehicle safe lane-changing model. The model considers the priority scheduling problem of different vehicles’ driving behavior when changing lanes, the influence of driver’s subjective factors on the driving speed when changing lanes, and the relationship between vehicle speed and safe lane-changing distance. After discussion and analysis, the model can reduce the number of lane changes of vehicles, increase the average speed of vehicles, and increase the traffic flow. It provides theoretical support for the safe lane-changing behavior of intelligent networked vehicles in the new era.

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“…Due to the difficulty of reproducing the various scenarios of vehicle operation in the I-VICS environment, some have developed simulation models of traffic flow. Xiang et al proposed the BL-STCA model for dynamic lane changes [32]. Ye et al then simulated the characteristics of mixed traffic flow based on the two-state safe-speed Model (TSM) to study its evolution process.…”

Section: Introductionmentioning

confidence: 99%

An Improved Cellular Automaton Traffic Model Based on STCA Model Considering Variable Direction Lanes in I-VICS

et al. 2021

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In this paper, we propose an improved cellular automaton model for the traffic operation characteristics of variable direction lanes in an Intelligent Vehicle Infrastructure Cooperation System (I-VICS). According to the proposed flow of variable oriented lane operation in the I-VICS environment, the idea for the improved model has been determined. According to an analysis of different signal states, an improved STCA model is proposed, in combination with the speed induction method of I-VICS and the variable direction lane switching strategy. In the assumed regular simulation environment, the STCA and STCA-V models are simulated under different vehicular densities. The results indicated that traffic parameters such as traffic flow and average speed of the variable direction lanes in the I-VICS environment are better than those in the conventional environment according to the operating rules of the proposed model. Moreover, lane utilization increased for the same density.

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An improved two-lane cellular automaton traffic model based on BL-STCA model considering the dynamic lane-changing probability

Cited by 10 publications

References 38 publications

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

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

Lane-Changing Model of Intelligent Connected Vehicle Considering the Factor of Turn Signal

An Improved Cellular Automaton Traffic Model Based on STCA Model Considering Variable Direction Lanes in I-VICS

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