Min Zhao's research while affiliated with Chongqing Jiaotong University and other places

Publications (108)

Article
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The on-ramp merging on the freeway which causes reduced traffic efficiency, increased risks of collision, and more fuel consumption is one of the research hotspots. The mixed traffic made up of connected and autonomous vehicles (CAVs) and connected and human-driving vehicles (CHVs) is the trend of the future intelligent traffic. Therefore, to facil...
Article
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This paper aims to ensure the string stability of a mixed vehicle group composed of connected and automated vehicles and traditional human-driven vehicles on the road. To this end, the mixed vehicle group is divided into multiple subgroups to better reveal the internal mechanism of the group. Then, by considering that the driving state of the subgr...
Article
The paper aims to ensure that traffic parameters are simultaneously available between sparse sensors, and to improve the traffic efficiency of expressways and achieve the consistent driving state of mixed vehicle groups. Firstly, we propose a dynamic mixed segmental linear (DMSL) traffic model with external disturbances including automated vehicles...
Article
The on-ramp merging on expressway is one of the hotspots of research, which usually leads to reduced traffic efficiency, increased risk of collision, and increased fuel consumption. However, most current on-ramp merging strategies coordinate merging by controlling upstream vehicles, which adversely effects on the main-lane traffic after the merging...
Article
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Short‐term traffic flow prediction is particularly important for urban traffic control and congestion management. To improve the accuracy of traffic flow prediction, a new traffic flow prediction approach is proposed from the perspective of vehicle functions by using Radio Frequency Identification (RFID) electronic license plate (ELP) data. First,...
Article
By controlling automated driving vehicles, the human driving vehicles could be indirectly controlled. This control method is different with the methods in homogeneous traffic. In this paper, a CPS-Based H∞ pinning approach for mixed traffic is proposed. In order to better guide and restrain HVs, the driver factors are taken into consideration. Nume...
Article
In this paper, a macro hydrodynamic model suitable for tunnel traffic in the network environment is proposed. Firstly, according to the characteristics of tunnel traffic, we establish the corresponding lattice hydrodynamics model, and design the corresponding control strategy according to the information obtained by connected vehicles. Through the...
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This paper investigates the optimized merging sequence (MS) and on-ramp merging strategy in mixed traffic with vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). To this end, a cooperative merging sequence optimization method is first proposed based on the reverse auction. In the method, a hybrid optimized computing structure is proposed...
Article
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This paper presents a traffic flow control scheme of connected vehicles to stabilize a traffic system with on-ramps from a macromodel point of view. Firstly, this paper establishes a lattice hydrodynamic model with on-ramps, and an output feedback controller is designed based on the characteristics of connected vehicles. Then, by using the Lyapunov...
Article
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In this paper, a cyber-physical description of mixed traffic that can reflect the interaction between vehicles is first proposed. By treating vehicles as nodes and the cyber-physical interaction between vehicles as directed edges between nodes, the network of vehicles in traffic is obtained. The small-world and scale-free characteristics of mixed t...
Article
Control of mixed traffic, consisting of manual driving vehicles and automated driving vehicles, remains a major challenge. In this paper, a novel pinning control strategy for mixed platoon to achieve indirect control of manual driving vehicles is proposed. Besides the control algorithm of pinning nodes, the impact of the spatial distribution of aut...
Article
Safely and efficiently completing unprotected left turns at intersections is challenging for both automated vehicles and human drivers, given that it is hard to predict the intentions of other road users. Currently, automated vehicles are inclined to adopt an overly conservative policy for safety reasons. And experienced drivers respond to right-of...
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...
Conference Paper
Following the occurrence of abnormal events on expressways, the estimation of time is critical for the reasonable control of traffic. Due to the influence of the detection cycle of the detection equipment and the delay of the detection algorithm, the detection time of many events has a certain delay relative to real occurrence time. This paper esti...
Article
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Abstract Vehicle detection plays an important role in intelligent transportation systems and security. Using the original Single Shot MultiBox Detector (SSD) directly for vehicle detection, lacks accuracy and stability. Moreover, most of the state‐of‐the‐art methods need cost a lot of time to inference. Vehicle detection is often used in complex tr...
Article
For the automated vehicles, the user experience on comfort plays an important role for the market acceptance. Generally, for the experienced drivers who already form some certain driving preferences during the longtime driving, they will feel apparent discomfort if the automated vehicles drive very differently from them. Therefore, it is of great s...
Article
To address the out-of-the-loop problem of the automated driving, a human-machine cooperative scheme for car-following control of the connected and automated vehicles (CAVs) is proposed. The proposed scheme can keep the drivers always in the loop and improve the car-following performance. To be specific, the driving automation system (artificial dri...
Article
In this paper, a novel lane keeping control method for automated vehicles based on human-simulated intelligent control (HSIC) is proposed, which is inspired by human expert drivers' steering characteristics including good foresight, precise execution and notable intermittency. The novelty of the paper is to introduce the HSIC concept into lateral c...
Article
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To guarantee vehicle platoon driven pattern in heterogeneous nodes of mixed vehicle platoon (composed of connected and automated vehicles and human-driven vehicles, CAVs and HVs) on curved roads, this study develops a combined longitudinal and lateral controller, which comprises of selecting the key points (KPs) from the trajectory points of detect...
Article
With the development of information technology, the communication between vehicle and vehicle(V2V), vehicle and infrastructure(V2I) promotes traffic efficiency and safety. In this work, we study the mixed traffic with connected and non-connected vehicles, and present the mixed traffic lattice hydrodynamic model. By using linear stability analysis,...
Article
In this paper, a novel driver model for lane keeping is proposed to replicate the steering behavior of expert drivers. Specifically, a feedforward-feedback control scheme mocking expert drivers is adopted: the feedforward controller plays a leading role, which is a data-driven model based on deep convolutional fuzzy systems (DCFS), and for the sake...
Article
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With the development of vehicle technology, the number of vehicles equipped with the adaptive cruise control (ACC) system is increasing, and it is more and more common for ACC vehicles to drive with regular vehicles. In this work, we proposed a mixed traffic model with regular vehicles and ACC vehicles via the transformation of micro-model and macr...
Article
This article is dedicated to designing a novel periodic impulsive control strategy for producing globally exponentially stable periodic solutions for switched neural networks with discrete and finite distributed time-varying delays. First, tunable parameters and cubic convex combination approach are proposed to study the globally exponential conver...
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...
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Automated vehicles will still remain the form of human-vehicle cooperation in the foreseeable future. Switched cooperative driving mode makes improvements on preventing drivers from being out-of-the-loop by having them assume manual control at periodic intervals. This paper studies driving mode switching strategy under different communication topol...
Article
In vehicle longitudinal control, improved comfort and reduced operation workload for human drivers are achieved with the ACC (Adaptive Cruise Control), which still requires the driver to maintain full attention on monitoring, meanwhile, the risk of distraction and fatigue rises resulting from the long-term supervising task, which has a strong impac...
Article
An extended lattice hydrodynamic model with time delay is proposed under non-lane discipline. We try to grasp the impacts of the non-lane discipline of the considered lattice sites. Linear stability analysis of the proposed model is executed and the stability criterion is obtained. Using the reductive perturbation method, we investigate nonlinear a...
Chapter
Given the growing popularity of wearable smart watch with the capability to detect human hand movements, this paper studies the potential to recognize fatigue driving based on steering operation by using a wearable smart watch. The sensor data used includes acceleration and angular velocity data related to drivers’ operation behavior. We analyze th...
Article
Connected cooperative driving is known as the promising way to mitigate traffic congestion, enhance driving safety and improve fuel economy. However, before vehicle-to-vehicle (V2V) communication technology became widely applied, vehicles could not always communicate with the front cars due to the uncertainty of vehicle type and communication funct...
Article
Since the unsaturating activation function is unbounded, more complex dynamics may exist in neural networks with this kind of activation function. In this article, monostability and multistability results of almost-periodic solutions are developed for fractional-order neural networks with unsaturating piecewise linear activation functions. Some glo...
Article
With the development of automated driving and communication technologies, the connected automated vehicles (CAVs) gradually enter market and become more popular. At the same time, the mixed traffic composed of conventional vehicles and CAVs will gradually become a very common form of traffic. In fact, the driving process of CAV is a typical cyber p...
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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
This paper investigates the problem of multistability of almost-periodic solutions of Takagi-Sugeno fuzzy neural networks with nonmonotonic discontinuous activation functions and time-varying delays. Based on the geometrical properties of the nonmonotonic activation functions, by using Ascoli-Arzela theorem and the inequality techniques, it is demo...
Article
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In this paper, an extended mean-field lattice hydrodynamic model is proposed which considers the average effect of multi-lattices interaction. By stability analysis, the linear stability criterion of the proposed model is given. Through nonlinear analysis, we derive the mKdV equation to investigate the traffic jams described by traffic density wave...
Article
This paper proposes a unified theoretical framework to study the problem of finite/fixed-time drive-response anti-synchronization for a class of Markovian stochastic neural networks. State feedback switching controllers without the sign function are designed to achieve the finite/fixed-time anti-synchronization of the addressed systems. Compared wi...
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Considering vehicle dynamics and external disturbances, cooperative driving system of homogeneous vehicles is investigated in the vicinity of traffic signals under V2X. This paper analyzes vehicle dynamics and dynamic response performance and investigates the topology structures between vehicles and vehicles and roadside infrastructures. A cooperat...
Article
This paper is concerned with multistability and attraction basins of discrete-time neural networks with nonmonotonic piecewise linear activation functions. Under some reasonable conditions, the addressed networks have (2m+1)n equilibrium points. (m+1)n of which are locally asymptotically stable, and the others are unstable. The attraction basins of...
Article
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Car following and lane changing are two common driving behaviors in the traffic flow. Preceding vehicle’s lane changing is affected by the surroundings and will have a greater influence on the followers’ driving decision. The existing car-following theory doesn’t fully take it into consideration that the followers’ driving behavior may change durin...
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This paper focuses on the global exponential synchronization problem for a class of inertial reaction-diffusion coupled neural networks with proportional delay. Through a variable transformation, the inertial reaction-diffusion neural networks are transformed into neural networks with first-order time and space derivative of the states. By taking n...
Article
The vicinity of traffic signals is one of the most special and critical areas in the whole road system. Considering that the driver can obtain traffic signals information through two approaches: vision and the vehicle-to-vehicle (V2X) communication equipment in the vehicle, this study proposes two vehicle cooperative driving models that apply to th...
Article
In order to suppress traffic congestion and reduce traffic accidents, a cooperative driving systems with time‐varying delay and nonlinearity under uncertain external disturbances in a variable speed‐limited area is proposed from a cyber‐physical perspective. Robust stabilization of the cooperative driving system is investigated by using Lyapunov‐Kr...
Article
In order to reveal the impact of preceding vehicle’s velocity on traffic flow, an extended car-following model considering preceding vehicle’s velocity feedback control is proposed in this paper. The linear stability criterion of the new model is derived through control theory method and it shows that the feedback control signal impacts the stabili...
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
Due to uneven illumination and dim environment in the tunnel, the monitored image is blurred, which makes it difficult to recognise the traffic status. Therefore, it is necessary to enhance the tunnel image in advance. In this study, a fast image enhancement algorithm based on imaging model constraint is proposed. First, the method uses the combina...
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
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
The vicinity of traffic signals is one of the most critical areas in road systems. New information technology paradigms like vehicle-to-vehicle and vehicle-to-infrastructure communication are applied to improve traffic operations at intersections; for example, a typical Cyber-physical System enables efficient traffic state estimation and traffic mo...
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
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Development of highly automated and intelligent vehicles can lead to the reduction of driver workload. However, it also causes the out-of-the-loop problem to drivers, which leaves drivers handicapped in their ability to take over manual operations in emergency situations. This contribution puts forth a new switched driving strategy to avoid some of...
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...