The inherent flexibility of hierarchical structure scheme with main-servo loop control structure is proposed to the problem of integrated chassis control system for the vehicle. It includes both main loop, which calculates and allocates the aim force using the optimal robust control algorithm and servo loop control systems, which track and achieve the target force using the onboard independent brake actuators. In fact, for the brake actuator, the aim friction is obtained by tracking the corresponding slip ratio of target force. For the coefficient of tire-road friction varying with different road surface, to get the nonlinear time-varying target slip ratio, the most famous quasi-static magic formula is proposed to estimate and predict real-time coefficient of different road surface and the constrained hybrid genetic algorithm (GA) is used to identify the key parameters of the magic formula on-line. Then, a self-tuning longitudinal slip ratio controller (LSC) based on the nonsingular and fast terminal sliding mode (NFTSM) control method is designed to improve the tracking accuracy and response speed of the actuators. At last, the proposed integrated chassis control strategies and the self-tuning control strategies are verified by computer simulations.

In order to prevent the backward flow of piezoelectric pumps, this paper presents a single-active-chamber piezoelectric membrane pump with multiple passive check valves. Under the condition of a fixed total number of passive check valves, by means of changing the inlet valves and outlet valves’ configuration, the pumping characteristics in terms of flow rate and backpressure are experimentally investigated. Like the maximum flow rate and backpressure, the testing results show that the optimal frequencies are significantly affected by changes in the number inlet valves and outlet valves. The variation ratios of the maximum flow rate and the maximum backpressure are up to 66% and less than 20%, respectively. Furthermore, the piezoelectric pump generally demonstrates very similar flow rate and backpressure characteristics when the number of inlet valves in one kind of configuration is the same as that of outlet valves in another configuration. The comparison indicates that the backflow from the pumping chamber to inlet is basically the same as the backflow from the outlet to the pumping chamber. No matter whether the number of inlet valves or the number of outlet valves is increased, the backflow can be effectively reduced. In addition, the backpressure fluctuation can be significantly suppressed with an increase of either inlet valves or outlet valves. It also means that the pump can prevent the backflow more effectively at the cost of power consumption. The pump is very suitable for conditions where more accurate flow rates are needed and wear and fatigue of check valves often occur.

Mixed traffic is a common phenomenon in developing countries such as China. Understanding bicycles' moving behavior when it conflicts with motor vehicles/bicycles/pedestrians at unsignalized intersections is important for developing mixed traffic flow simulation models. Observations and analysis of bicycle movements when they conflict with those of vehicles/pedestrians at mixed traffic unsignalized intersections were made in our study. Field data from actual bicycle movements were captured from video data. We then proposed a plausible cyclist conflict avoidance movement model in mixed traffic flow situations based on fuzzy logic and the discrete choice method. Field data were used for model calibration and validation, and the results were promising.

This paper investigates the acceptance of intelligent driving vehicles in the Chinese market using Guangzhou City as an example and a field questionnaire investigation based on Innovation Diffusion Theory. Firstly, we tested the reliability and validity of 2530 effective questionnaires in 2018. Secondly, the cognition, expectations, technical concerns and prospective expectations data of consumers with respect to intelligent driving vehicles are analyzed statistically. Finally, T-test and Pearson’s correlation analysis are carried out on the intelligent driving vehicle performance parameters and the respondents’ basic information. The research shows that consumers are more focused on the developmental prospects of intelligent driving vehicles and express concerns about their technological safety. Furthermore, the acceptance of intelligent driving cars depends on age, the higher the expectation, the sooner to buy an intelligent, and so on. Ninety percent of the respondents are willing to purchase intelligent driving vehicles and are willing to pay extra money to buy them. This result will provide an objective reference for the government to issue supporting policies and laws regarding intelligent driving vehicles, and it is useful to help the enterprises to adjust their research and developmental directions for intelligent driving vehicles.

Preprocess the lane gray image to obtain binary image by using median filtering, Sobel edge detection operator and image segmentation algorithm based on maximum entropy. Propose an improved Hough transformation algorithm to obtain the feature parameter of the road edge in the binary image. Establish the area of interest (AOI) of the road edge, according to the prediction result of the Kalman filtering; adjust the size of AOI dynamically in order to track the road edge accurately. Experiments show that this algorithm is reliable and effective.

In urban road traffic systems, roundabout is considered as one of the core traffic bottlenecks, which are also a core impact of vehicle emission and city environment. In this paper, we proposed a transport control and management method for solving traffic jam and reducing emission in roundabout. The platform of motor vehicle testing system and VSP-based emission model was established firstly. By using the topology chart of the roundabout and microsimulation software, we calculated the instantaneous emission rates of different vehicle and total vehicle emissions. We argued that Integration-Model, combing traffic simulation and vehicle emission, can be performed to calculate the instantaneous emission rates of different vehicle and total vehicle emissions at the roundabout. By contrasting the exhaust emissions result between no signal control and signal control in this area at the rush hour, it draws a conclusion that setting the optimizing signal control can effectively reduce the regional vehicle emission. The proposed approach has been submitted to a simulation and experiment that involved an environmental assessment in Satellite Square, a roundabout in medium city located in China. It has been verified that setting signal control with knowledge engineering and Integration-Model is a practical way for solving the traffic jams and environmental pollution.