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Car following method and system under mixed traffic flow

A technology of mixed traffic and traffic flow, applied in traffic control systems, traffic control systems of road vehicles, traffic flow detection, etc., can solve the problem that the vehicle response coefficient and the following distance of vehicles in the form of mixed traffic flow are not considered, and the following vehicles cannot be accurately simulated. Dynamic behavior and other issues to achieve the effect of stable following

Active Publication Date: 2021-06-22
SHANDONG NORMAL UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the research premise assumes that all vehicles are equipped with communication equipment, and does not consider the mixed traffic flow form composed of intelligent networked vehicles and non-intelligent networked vehicles, the reaction coefficient of vehicles and the following distance, etc., which cannot accurately simulate the mixed traffic flow. car-following dynamic behavior

Method used

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  • Car following method and system under mixed traffic flow
  • Car following method and system under mixed traffic flow
  • Car following method and system under mixed traffic flow

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Embodiment 1 of the present invention provides a car-following system under mixed traffic flow, the system includes:

[0053] A building block for building a car-following model under mixed traffic flow based on the optimal speed function;

[0054] The determination module is used to perform linear stability analysis of the mixed traffic flow following the car according to the car following model, and to determine the stability condition that the mixed traffic flow is in a stable state in combination with the Huewitz stability criterion;

[0055] The control module is used to control the acceleration of the vehicle according to the stability condition, so as to realize stable car following.

[0056] In Embodiment 1, the determination module includes an analysis unit and a calculation unit;

[0057] The analysis unit is used for when the traffic flow is in a steady state, the acceleration of the vehicle is 0, and a stable following distance is maintained between the veh...

Embodiment 2

[0074] Existing models and methods for studying the car-following problem of traffic flow are no longer suitable for studying the car-following problem of mixed traffic flow, because the composition of traffic flow, the reaction coefficient of vehicles and the distance between vehicles and other substantive changes, so the corresponding Research methods need to be improved.

[0075] Therefore, in this embodiment 2, a method and system for simulating mixed traffic flow car-following problems are proposed. A method for the dynamic behavior of car-following.

[0076] Such as figure 1 As shown in , a basic car-following scenario with mixed traffic flow (single lane without overtaking) is shown. Due to different types of vehicles, there are four car-following combinations, including ICV-ICC (CC), ICV-non-ICV (CN), and non-ICV-non-ICV Vehicle (NN) and non-ICV-ICV (NC) co-existing mixed traffic flow. Through V2V communication, intelligent connected vehicles can receive disturbanc...

Embodiment 3

[0103] Such as figure 2 As shown, the present embodiment 3 provides a method and system for studying the car-following problem in mixed traffic flow, including the following steps: according to four car-following combinations formed by two different types of vehicles, four kinds of car-following reaction coefficients are correspondingly designed; Based on the designed four reaction coefficients, combined with the original optimal speed model (OV), an improved optimal speed follow-up model based on mixed traffic flow is obtained; the ratio, distribution change and reaction coefficient of vehicles are adjusted to perform mixed Car-following dynamic simulation of traffic flow;

[0104] According to the four car-following combinations composed of two different types of vehicles, the corresponding four reaction coefficients are α cc 、α cn 、α nn 、α nc . The value of the response coefficient can be dynamically adjusted according to different situations, and the criterion of the...

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Abstract

The invention provides a car following method and system under mixed traffic flow, and belongs to the technical field of intelligent traffic car following, and the method comprises the steps: building a car following model under the mixed traffic flow based on an optimal speed function; according to the vehicle following model, carrying out linear stability analysis of mixed traffic flow vehicle following, and combining a Huewitz stability criterion to determine a stable condition of the mixed traffic flow in a stable state; and controlling the vehicle acceleration according to the stable condition to realize stable vehicle following. According to the invention, under the mixed traffic flow formed by the intelligent network connection vehicle and the non-intelligent network connection vehicle, the stable vehicle following of the vehicle is realized, and the stable vehicle following simulation under the mixed traffic flow can be realized according to the vehicle following model.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic following car, in particular to a method and system for following mixed traffic consisting of intelligent networked vehicles and non-intelligent networked vehicles on urban roads. Background technique [0002] The study of car-following behavior under urban traffic flow is of great significance to solve the problem of urban traffic congestion. Urban traffic flow is a complex system. Based on traffic flow theory, vehicles can be simplified into individual particles, which is helpful for the study of car-following behavior. The car-following model is a typical microscopic model that represents the complex interactions between vehicles in traffic flow. Existing car-following models such as Newell’s optimal velocity (OV) function-based car-following model, Bando’s classic optimal velocity model (OVM), and Bando’s model-based full velocity difference model (FVDM) . The above car-followin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01H04W4/40
CPCG08G1/0125G08G1/0137H04W4/40
Inventor 史云峰车雪玉翟仑郑元杰
Owner SHANDONG NORMAL UNIV
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