Tong Zhou's research while affiliated with Chongqing University and other places

Publications (13)

Conference Paper
The on-ramp merge area is a typical bottleneck, which usually leads to traffic congestion and reduced traffic efficiency. As an emerging vehicle model, connected and autonomous vehicles (CAVs) can alleviate many traditional traffic problems. At present, the research on the cooperative merging control of CAVs in the on-ramp area is one of the resear...
Article
In order to suppress traffic jams and make traffic flow smooth, we propose feedback-based control strategy for the coupled map car-following model with time delays on basis of linear discrete-time system. In this new kind of model, time delay is incorporated into dynamic equation of vehicles. The traffic system is analyzed based on Gerschgorin disk...
Article
In this paper, an extended car-following model accounting for cooperation driving system with vehicle's velocity uncertainty is proposed based on the full velocity difference car-following model. To analyze the influence of vehicle's velocity uncertainty on traffic evolution properties, the asymptotic and local stability conditions of the new car-f...
Article
Based on the full velocity difference and acceleration car-following model, an extended car-following model is proposed by considering the vehicle's acceleration derivative. The stability condition is given by applying the control theory. Considering some typical traffic environments, the results of theoretical analysis and numerical simulation sho...
Article
In order to improve traffic efficiency and reduce fuel consumption and CO\(_{2}\) emission, most existing models are considered as an optimization problem. However, these models cannot provide a satisfactory solution when nonlinear time-varying system and external disturbances are investigated for connected vehicles in the vicinity of traffic signa...
Article
In fact, driving process is a typical cyber physical process which couples tightly the cyber factor of traffic information with the physical components of the vehicles. Meanwhile, the drivers have situation awareness in driving process, which is not only ascribed to the current traffic states, but also extrapolates the changing trend. In this paper...
Article
Full-text available
In the light of Konishi et al.’s car-following model, considering safe headway effect of the two preceding cars on the following one, a novel feedback control scheme in the discrete car-following model is proposed. The stability condition is analysed under which the traffic system is steady running. When our scheme is applied to the discrete car-fo...
Article
Full-text available
In this paper, the explicit lane changing effect for two-lane traffic system with interruption is studied based on lattice hydrodynamic model. Through linear stability analysis, the neutral stability criterion for the two-lane traffic system is derived, and the density–sensitivity space is divided into the stable and unstable regions by the neutral...
Conference Paper
Traditional algorithms for freeway traffic state detection are based on macroscopic traffic flow parameters (i.e. average speed, volume and density). These macroscopic parameters are defined by accumulation or mean values in detection period and could not effectively describe the state difference among different vehicle. This paper proposes two spe...
Article
In the paper, a new car-following model is presented with the consideration of the prevision driving behavior on a single-lane road. The model’s linear stability condition is obtained by applying the linear stability theory. And through nonlinear analysis, a modified Korteweg–de Vries (mKdV) equation is derived to describe the propagating behavior...
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
Based on the pioneering work of Konishi et al. [Phys. Rev. E (1999) 60 4000], a new feedback control scheme is presented to suppress traffic jams based on the coupled map car-following model under the open boundary condition. The effect of the safe headway on the traffic system is considered. According to the control theory, the condition under whi...

Citations

... At the same time, this assumption prevents cooperative vehicles from using downstream vehicles of the target merging position to save time and fuel consumption. Considering these issues, we have done work in the early stage [30]. However, our previous work did not consider the complex traffic environment of mixed CAV and CHV. ...
... The delay changes caused by traffic instability suppress the drivers' response. Chen et al. [30] proposed an improved model by taking the historical speed difference between the front and rear vehicles as the control term. However, the above studies did not specifically design the control parameters. ...
... The other default parameters are selected as follows: v max ¼ 2, y c ¼ 4, a = 1.2, k¼0:1, e¼0:1. These benchmark data are widely adopted in the literature (e.g., [68,69],). Figure 9 shows the spatiotemporal evolution of headways with different controller gain coefficients k 1 and k 2 under the downhill scenario. Figure 9a corresponds to the traffic flow without a designed controller (k 1 = 0 and k 2 = 0). ...
... Because the vicinity of traffic signals can provide the functions such as gathering, steering and evacuation for traffic flows, the vehicles drive and stop periodically in this area with the change of traffic signals. It is easy to decline the performance of cooperative driving, reduce traffic efficiency, increase energy consumption and even lead to traffic accidents (such as rear-end collision) due to internal uncertainties, external perturbations, delays and other factors [27][28][29][30][31][32]. ...
... The generic car-following model is an important method to study traffic phenomena and driving behavior, which focus on driving behavior of the interaction between vehicles moving on a single road without overtaking and lane changing shown in FIGURE 1. The generic car-following model can be expressed as nonlinear dynamic systems: Integrating the considered information with the weighting coefficients into dynamical system, the acceleration of vehicle n considering cooperative driving system can be represented as [37] ...
... In 1995, Bando [3] built an optimized velocity model to simulate the phenomenon caused by traffic congestion on the actual road. After that, a few scholars [4][5][6][7][8][9][10][11][12][13] have proposed a series of improved models based on the modeling idea of optimal velocity model. Among these research results, coupled map (CM) car-following model plays an important role in studying traffic congestion control. ...
... en, the stability condition and mKdV equation can be, respectively, obtained with the linear analysis and nonlinear analysis methods. Subsequently, many extended works have been developed by taking different factors into accounts, such as driver's memory [27][28][29][30][31], driver's anticipation effect [32][33][34], density difference [35], traffic interruption probability [36][37][38], and "backward-looking" effect [39][40][41]. ...
... alysis was carried out by making use of parameters derived from the actual flow of traffic (Gipps, 1981). Because of this, future research on car following will have a theoretical foundation to build upon. Zhou et al. developed a more reliable model for car following by taking into account the motion characteristics of the vehicle in front of them (Zhou et. al., 2014). According to the findings of Tang et al. (2014), Yang et al. (2017), and Tordeux et al. (2010), the headway is an important parameter that plays a role in the evaluation of the driver's level of risk. In addition to the rate of driving, another factor to take into account is the time headway (THW) (2021)). ...
... In 2011, Ge et al. [11] proposed the CM model via modification of the OV function, which depends not only on the headway distance of the current vehicle but also on the preceding ones. In 2013, Zhou et al. [12] studied the influence of the feedback control scheme on traffic jam by using the CM model. From these studies, control scheme on the CM model or OV model have been verified to play an important role in suppressing traffic jam [7][8][9][10][11][12]. ...