Hui Liu's research while affiliated with Chongqing University of Arts and Sciences and other places

Publications (16)

Article
The consensus degree among vehicles is an important index to measure the cooperative driving system. First, this paper establishes a measurement method of the instantaneous consensus of an individual vehicle to evaluate the consensus degree. On this basis, the consensus degree index of the cooperative driving system on the road section is construct...
Article
Full-text available
Taking heterogeneity, internal parameter uncertainties and communication constraints into account, the problem of cooperative driving system of heterogeneous vehicles is studied in the vicinity of traffic signals. This work studies the dynamics of heterogeneous vehicles and response performance from physical perspective and meanwhile analyzes the t...
Article
In this paper, a variable speed limit control approach for improving the efficiency of signalized intersection is proposed from the cyber-physical view. In the proposed control scheme, vehicle-to-vehicle communication is being utilized fully such that the preceding vehicle’s optimal information is exploited for optimizing the motion of the current...
Article
Full-text available
A new lattice hydrodynamic traffic flow model is proposed by considering the preceding lattice site’s flux change rate effect. Using linear stability theory, stability condition of the presented model is obtained. It is shown that the stability region significantly enlarges as the flux change rate effect increases. To describe the propagation behav...
Article
In traffic systems, cooperative driving has attracted the researchers attentions. A lot of works attempt to understand the effects of cooperative driving behavior and/or time delays on traffic flow dynamics for specific traffic flow model. This paper is a new attempt to investigate analyses of linear stability and weak nonlinear for the general car...
Article
In this paper, a new micro-cooperative driving car-following model is proposed to investigate the effect of continuous historical velocity difference information on traffic stability. The linear stability criterion of the new model is derived with linear stability theory and the results show that the unstable region in the headway-sensitivity space...
Article
To reveal the impact of the current vehicle’s interruption information on traffic flow, a new car-following model with consideration of the current vehicle’s interruption is proposed and the influence of the current vehicle’s interruption on traffic stability is investigated through theoretical analysis and numerical simulation. By linear analysis,...
Chapter
To reveal the impact of uncertain traffic information on traffic flow, a new car-following model with consideration of uncertainty in perceiving velocity is proposed. The linear stability criterion of the new model is derived through linear stability theory and it shows that the stable region for a small perceived velocity of the preceding vehicle...
Article
In this paper, a new lattice hydrodynamic model with consideration of the density difference of a lattice's current density and its anticipative density is proposed. The influence of lattice's self-anticipative density on traffic stability is revealed through linear stability theory and it shows that lattice's self-anticipative density can improve...
Article
New information technology paradigms like vehicle-to-vehicle and vehicle-to-infrastructure communication are applied to improve traffic operations at an intersection, as a typical cyber-physical system which enable an efficient traffic state estimation and traffic control. In this paper, we try to investigate the optimization of signaled intersecti...
Article
Lattice hydrodynamic model is a typical continuum traffic flow model, which describes the jamming transition of traffic flow properly. Previous studies in lattice hydrodynamic model have shown that the use of control method has the potential to improve traffic conditions. In this paper, a new control method is applied in lattice hydrodynamic model...
Article
Full-text available
The car-following models are investigated from a new point of cyber-physical systems in this paper. Comparing with the traditional researches which only focus on cyber aspect of the driving process, we further study the driving process with the consideration of vehicle dynamics which is physical aspect of the driving process. Detailedly, both the i...
Article
In this paper, the car following model is investigated by considering the vehicle dynamics in a cyber physical view. In fact, that driving is a typical cyber physical process which couples the cyber aspect of the vehicles' information and driving decision tightly with the dynamics and physics of the vehicles and traffic environment. However, the in...
Article
In this paper, a new car-following model is proposed by considering driver's desired velocity according to Transportation Cyber Physical Systems. The effect of driver's desired velocity on traffic flow has been investigated through linear stability theory and nonlinear reductive perturbation method. The linear stability condition shows that driver'...
Conference Paper
Congestion control is a process to achieve optimal decision-making and effective control of vehicles through the interaction of vehicular perception and control, and it shows the typical characteristic of cyber physical systems. Based on the physical-world model of Konishi et al., a new control method to suppress the traffic jam is proposed in the...
Article
In recent years, the influence of drivers' behaviors on traffic flow has attracted considerable attention according to Transportation Cyber Physical Systems. In this paper, an extended car-following model is presented by considering drivers' timid or aggressive characteristics. The impact of drivers' timid or aggressive characteristics on the stabi...

Citations

... Thus, the ITSs in recent years have been studied in numerous directions, such as the optimization of the traffic flow in urban traffic networks [2,3], autonomous driving with road condition identification and compliance with traffic rules [4][5][6][7][8][9][10][11]. Benefit from different planning algorithms and control technologies [12][13][14][15][16][17][18][19], the environment identification and driving stability of a single intelligent vehicle are greatly improved. However, it is more complicated for the research of a V2V system, since its hybrid characteristic involving distributed communication, automatic control and collision avoidance. ...
... The application of traffic flow theory can better analyze the traffic phenomenon and its essence, so that the road can maximize its effectiveness. The macroscopic model, mesoscopic model, and microscopic model are the general classification of the traffic flow model, including cellular automation models [1][2][3][4], car-following models [5][6][7][8][9][10][11][12][13][14][15][16], hydrodynamic lattice models [17][18][19][20][21][22][23][24][25], continuum models [26][27][28][29][30][31][32] and route optimization models [33][34][35]. Usually, the actual traffic flow is affected by the stimulation of time and space, and its change process is a dynamic and very complicated process. ...
... So that some new phenomena were revealed by the fractional equation modelling. Many studies of fractional equation modelling to these systems were currently studied in the literature, notably for biological and chemical dynamical-system [1][2][3][4][5][6]. In contrast, up to our knowledge, few works were devoted to the fractional mechanical and physical systems [7,8]. ...
... VANET operates on a wireless network, which means security attacks can be triggered by any node in any direction to target any other node in the range. Similarly, other security issues include message replay or delay, message distortion and message leakage [27]. These facts convey the lack of comprehensive defence mechanism in VANET. ...
... In addition to the information from preceding vehicles, drivers always adjust the current vehicle's driving behavior with their driving information. Lately, Zhang et al. [40] studied the impact of the vehicle's self-anticipation density effect on traffic stability and proved that the traffic flow stability could be enhanced when the self-anticipation density effect was taken into account. Meanwhile, the optimal current difference between two successive lattices [35] has been proved to be effective in terms of traffic stability improvements. ...
... It is clear from Eqs. (9), (10) that the instantaneous acceleration obtained based on deterministic stimuli is inadequate and thus, fails to model irrational behaviors at intersections. Hence, in the IDM extended model for Intersection Management (IDM_IM), the vehicle maintains current speed for the green light and forcefully decelerates to stop for a red light at the intersections [21]. IDM_IM model is extended for lane changing situations as IDM_LC model [22]. ...
... e requirements of traffic control 4.0 for information, calculation, and control coincide with the characteristics of Information Physics System (CPS). e concept of CPS first appeared in the United States Natural Fund in 2005 [12], then quickly received the response of the Chinese and American governments and researchers, and has carried out fruitful early work in biological, military, industrial, and other fields [13][14][15][16][17]. e complex characteristics of urban traffic and the difficulties it faces make it the best test site and application area of CPS [18][19][20][21][22]. CPS plays a more and more important role in the supervision and security control function of transportation system, which will contribute to the actual control decision-making in transportation system [23]. ...
... The continuous-time component model for dynamic vehicle motion on a flat road is illustrated in Figure 2. Note that this model assumes that the rotational inertia of the vehicle wheels is negligible and that the friction resisting the motion is proportional to the vehicle's speed [7,8]. ...
... where a is the driver's sensitivity coefficient, As people make full use of the latest information of the intelligent transportation system, some traffic problems are gradually solved. For example, intelligent vehicle navigation system uses computer and communication technology to provide information relevant to the cars on the road and generate dynamic traffic information, such as the speed limit [25]. It can determine at what appropriate velocity the driver should drive under the current conditions according to the current traffic conditions and signal status. ...
... The results suggest that both aggressive and conservative drivers may contribute to traffic jams. Zhang et al. [33] introduced one parameter into the FVD model to describe the differences in velocity of three types of drivers to construct an extended model and discussed the impacts of the differences of three types of drivers on the desired velocity using the (non)linear characteristics of traffic flow. Based on Zhang's model, Sun et al. [34] further incorporated the impacts of slope. ...