In this paper, on the basis of being familiar with MATLAB software and being able to use it proficiently, a series of modeling simulation and analysis are carried out in combination with the two degrees of freedom vehicle model in automobile theory. Vehicle yaw speed and centroid Angle are two important indicators to describe the stability of the vehicle. In this paper, the mathematical model of the linear two-degree-of-freedom vehicle model is built in Simulink, and the ordinary car parameters seen in daily life are selected as an example. The real time simulation and analysis of vehicle fixed speed input different front wheel Angle input, vehicle fixed front wheel Angle input different initial speed, output yaw velocity and centroid sideslip Angle are carried out, and the influence of different inputs on vehicle handling stability is obtained.

In order to improve driving safety and traffic efficiency, central isolation guardrails are often set up in the center of the road. The traffic organization is complicated, and the inbound and outbound traffic conflicts with the main road traffic, which affects the stable traffic flow of the main road. In order to study the impact of such roadside entrances and exits on the main road traffic, this paper first analyzes the influencing factors of the centrally isolated roadside entrances and exits on the main road traffic. Based on a typical case, the VISSIM software is used to change the amount of each influencing factor. Influence rules of influencing factors on main road traffic. Then, the influence degree of each traffic interference factor on the main road traffic is analyzed by the grey correlation analysis method. The experimental results show that different influencing factors have different influence laws and influence degrees on the main road traffic. At the end of this paper, an improvement design scheme is proposed for such conflict problems, which has a great improvement effect on such problems.

In order to explore the car following behavior and speed distribution characteristics of vehicles in different periods, select drone aerial photography to collect the video of car-following vehicles, and extract the car-following data through Kinovea software. The direct impact of headway on car following behavior is analyzed and proposed, and an improved full velocity difference (FVD) car following model is constructed. At the same time, the parameters of the improved FVD model are calibrated, and the acceleration is selected as the index of calibration effect. The results show that the average speed of car-following during non-peak hours is greater than the average speed of car-following during peak hours, and the speed characteristics in different periods meet the normal distribution; During peak hours, drivers pay more attention to the motion state of the vehicle in front, and the sensitivity coefficient is larger; In the model parameter calibration and effect verification, the improved full speed difference car-following model has a better effect and can better describe the actual car-following behavior on the road.

Aiming at the lateral stability of the Trailer-Mounted Recreational Vehicle (TMRV), considering the electromechanical coupling characteristics of electromagnetic brake, Trucksim vehicle model and Simulink reference model are established. The differential braking control strategy is formulated with the lateral acceleration of the Recreational Vehicle (RV) as the control target and the Fuzzy PID control algorithm to make the lateral acceleration of the trailer follow the target value and realize the differential braking control of the RV. The simulation verification of double lane change test is carried out on the Trucksim / Simulink simulation platform, and the simulation results show that the control strategy significantly improves the lateral stability of the TMRV.

Accurate calculation of the remaining capacity of the battery of electric vehicles has always been one of the key factors restricting the development of the electric vehicle industry. In this paper, MATLAB software is used to perform a simulation experiment of battery remaining capacity estimation based on extended Kalman filter, and the remaining capacity of the battery is continuously predicted and corrected under the premise of considering factors such as noise, so that the predicted result value is closer to the real battery remaining capacity value.

In recent years, with the rapid development of driverless technology, intelligent transportation technology based on machine vision has become the frontier direction and hot spot in the field of transportation. The technology of vehicle detection and tracking based on machine vision is one of the research focuses in the field of intelligent transportation. The lane line detected is an important mark to restrict the vehicles on the road, which directly determines the vehicle driving control and path planning. Therefore, it is of great significance to accurately detect the lane line in the road to improve vehicle driving safety. In the actual traffic scene, the existing lane line detection algorithms are easily affected by the occlusion of moving vehicles, which leads to the decrease of the accuracy of the algorithms. Therefore, this paper proposes a lane line detection method based on machine vision. This method adopts transformed aerial view, edge detection, contour screening, and lane fitting, and the experiment shows that this method can effectively detect lanes in complex environment. 

Traffic congestion is becoming increasingly prominent in urban development. It is urgent to develop accurate and fast traffic flow prediction methods to achieve efficient and intelligent traffic flow organization. Intelligent transportation system plays an important role in urban traffic control. It can accurately capture traffic flow data and form historical traffic flow data and real-time traffic flow data sets. In this paper, through the in-depth analysis of the electric alarm data at the intersection, the traffic volume information and characteristics of each lane at the intersection are obtained, and the neural network model based on the electric alarm data is constructed to predict the traffic flow at the entrance of the intersection. According to the prediction results, it can guide the optimization and update of the signal timing scheme of the adjacent intersections in the downstream, so as to improve the intelligent level of traffic signal control.

The traffic jams frequently occur in the expressway off-ramp during morning and evening peak hours. Seriou’s merging conflict of vehicles from the expressway off-ramp and side road is the mainly reason. Traffic jams spread upstream which will further affect road traffic efficiency. According to the actual traffic operating situation of expressway and side road, the cooperative control method between off-ramp of expressway and side road is proposed. To support the cooperative control system, the method of organic combination of ground loop, road marking and signal control is proposed, which provides a new perspective to deal with traffic merging under the guidance of smart traffic. In the end, the efficiency of expressway traffic from simulation is compared with the current actual traffic efficiency, and the result shows a perfect improvement.

The visual odometer studied in this paper belongs to the front end of visual SLAM, and belongs to a positioning method of pose estimation. The camera captures the environmental information around itself through the visual sensor, compares the feature information of the two frames before and after, and estimates the displacement of the camera. By constantly coordinating and following the highlights of the grouping pictures, the position data of the camera is refreshed progressively, and the camera movement is gotten. In this paper, Circle highlights and Quick corner location are utilized to successfully extricate include focuses, and BRIEF descriptors are utilized to portray the distinguished element focuses to further develop the activity speed of component point coordinating. Focusing on the issue of component point crisscross, RANSAC calculation is acquainted with bring the distinguished element focuses into the calculation for location and hold the focuses that meet the given circumstances. The gray centroid method makes up for the inherent shortcomings of FAST algorithm, which does not have the description of direction and scale. For the issue of element coordinating, this paper utilizes epipolar math and P3P strategies to match 2D-2D and 3D-2D. At last, the Bundle Adjustment is utilized to enhance the current mistake. At long last, the camera direction is shown in the Matlab stage. This paper plays a decent helper part in the programmed driving, map route and driving security of canny vehicles later on, and has extraordinary exploration esteem and pragmatic importance.

The expressway has the phenomenon of high speed and large traffic flow, which is easy to cause secondary traffic accidents when dealing with expressway traffic accidents. An ICV (Intelligent Connected Vehicle) that can be loaded by vehicles is studied. ICV detects vehicle information and lane lines in real time through onboard detectors, and realizes the application of automatic tracking, vehicle distance detection, wireless communication, accident handling assistance and other scenarios of expressway ICV through linear control and remote wireless communication. The ICV is used to test the section of the scene through the micro expressway scene built to verify the application effect of the system.

With the increasing popularity of pure electric vehicles, the number of users of pure electric vehicles is increasing. However, due to the limitation of electric vehicle power battery technology, the "mileage anxiety" problem of pure electric vehicle users is still an obstacle to the further development of pure electric vehicles. Reasonable path planning is of great significance for saving driving distance and time. Based on this, this paper takes a company's need for centralized after-sales service as the background, and uses pure electric vehicles to provide centralized after-sales service to multiple customers. Different road conditions and route selection schemes will have an impact on service efficiency and tram energy consumption. In order to simplify the process, this paper chooses to plan the route when the road traffic is relatively smooth. Ant colony algorithm is used to optimize different path choices. Through continuous iteration, the service order is optimized to achieve a more reasonable service scheme. Finally. From the final iteration results, it can be seen that the method proposed in this paper has good convergence, and has achieved the goal of saving time and driving distance.

With the development of electric vehicles, the thermal safety of lithium-ion batteries (LIBs) has received a lot of attention from scholars. The temperature of the battery is an important factor affecting the performance and safety of LIBs, so a battery thermal management (BTM) system is essential. Phase change materials (PCM) can absorb or release a large amount of heat during phase change and keep the temperature largely unchanged, which has a great prospect in battery thermal management. Therefore, in this paper, a PCM-based thermal management system is designed for a 16-cell series-connected Li-ion battery pack, and the effects of the thermal parameters (including thermal conductivity, latent heat of phase change and melting point) on the thermal management system are investigated by numerical simulation. The results show that the pure paraffin-based BTM can reduce the maximum battery pack temperature under 3C discharge by 30°C, and the use of composite phase change material (CPCM) can substantially improve the thermal management performance. The thermal management system designed in this paper performs best when the thermal conductivity of CPCM is 2.0 W/(m-K), the melting point is between 36°C and 38°C, and the latent heat of phase change is 210 J/g.