A Modified Car‐Following Model with Variable Safety Distance and its Numerical Simulation

Zheng, Ya-Zhou; Li, Lei; Zheng, Pengjun; Ge, Hongxia

doi:10.1002/asjc.1257

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…In the extended mode, the desired acceleration of traffic system is given by (15), and actual acceleration is given by a des =̇a+a. Applying (22) and (23), the transfer functionḠ(s) is obtained, that is…”

Section: Feedback Control Schemementioning

confidence: 99%

“…Subsequently, Bando et al [12] presented the famous microscopic traffic flow model dubbed optimal velocity model (OVM). Based upon the OVM, much work has been done by introducing multiple information into relative velocity or headway in different ways [13][14][15][16][17][18]. Moreover, some extended tarffic models by applying transportation cyber physical system (T-CPS) were put forward to describe the traffic nature successfully [19,20].…”

Section: Introductionmentioning

confidence: 99%

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Multiple Information Feedback Control Scheme for an Improved Car‐Following Model

Zheng

Cheng

2016

Asian Journal of Control

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Based upon the classical car‐following theory, an extended car‐following model considering variable safety distance (VSD) and time‐delay effect is constructed to improve driving efficiency and safety. Considering multiple preceding cars' speed differences and the difference between headway and safety distance, a new control signal is designed from the viewpoint of multiple information feedback control strategy. Stability criterion for the modified model is acquired by applying control theory. Several numerical simulations are used to show the effects of multiple preceding cars' speed changes and variable safety distance on car‐following phenomena, and the outcomes prove that the presented model can enhance traffic safety and suppress traffic jams.

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Section: Feedback Control Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiple Information Feedback Control Scheme for an Improved Car‐Following Model

Zheng

Cheng

2016

Asian Journal of Control

Self Cite

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show abstract

“…So these optimization methods are actually questionable since the overall traffic operation of the intersection would not be actually smoothed due to the increased vehicle stops. This problem could be solved by adjusting the algorithm for the distribution of the green time ratio with a reasonable objective [26]. Given this, in this study, an algorithm based on operations research methods was employed to fully consider the traffic demand of the arterial road and branch road in the allocation of green time, to expect to achieve a more efficient and comprehensive signal timing.…”

Section: Introductionmentioning

confidence: 99%

Optimizing signal timing of the arterial‐branch intersection: A fuzzy control and nonlinear programming approach

Ding

et al. 2022

Asian Journal of Control

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Arterial-branch intersections are important components of urban road network but are greatly ignored of its role in maintaining an efficient traffic operation in regional networks. Arterial-branch intersections are generally featured with significant fluctuations in the flow ratio of the branch road to the arterial road. So, in order to adapt the signal timing to this kind of intersection, an optimization control algorithm based on fuzzy control and nonlinear programming (FCNP) was proposed. To verify this optimization algorithm, the Python and Vissim joint simulation was employed. Prior to the simulation, traffic flow data were collected in 12 consecutive hours at an arterial-branch intersection in China. The simulation results show that, after signal timing optimization with FCNP, the average vehicle queue length and delay reduced 25.8% and 17.3%, respectively, when compared with the performance of the traffic-actuated control, which also outperformed previous equivalent research. Besides, the overall operation of the intersection was verified to be greatly improved and stabilized by using the proposed algorithm. The findings of this study provide a reasonable solution of distributing the right-of-way at arterial-branch intersections and suggest the advantage of combining fuzzy control and nonlinear programming in dealing with the signal timing optimization.

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Near-crash risk identification and evaluation for takeout delivery motorcycles using roadside LiDAR

Lin,

Zhang,

Gong

et al. 2024

Accident Analysis & Prevention

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A Modified Car‐Following Model with Variable Safety Distance and its Numerical Simulation

Cited by 5 publications

References 25 publications

Multiple Information Feedback Control Scheme for an Improved Car‐Following Model

Multiple Information Feedback Control Scheme for an Improved Car‐Following Model

Optimizing signal timing of the arterial‐branch intersection: A fuzzy control and nonlinear programming approach

Near-crash risk identification and evaluation for takeout delivery motorcycles using roadside LiDAR

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