Research Of Stop & Go Cruise Algorithm On City Traffic

The Stop & Go Cruise systems designed for use in heavy traffic at slow speed. It can be seen as an evolution of the current Adaptive Cruise Control (ACC) systems. As with ACC, Stop & Go Cruise system uses inbuilt sensors to detect the preceding vehicle and achieve longitudinal control of the vehicle. In addition to detecting moving vehicles, the information detecting system of Stop & Go Cruise can also detect stationary objects such as parked vehicles and traffic signal brand. Stop & Go Cruise is especially suited to urban areas, where drivers spend large amounts of time in heavy traffic and constant attention is required to start and stop, simply to follow the preceding vehicle. As the result that the development of Stop & Go Cruise is one of the heatest thesis which are about intelligent traffic.The driver of a vehicle equipped with a Stop & Go Cruise facility engages the system as and when required. However, because it is designed for use in dense traffic, the Stop & Go Cruise system will automatically disengage when the vehicle speed increases and reaches a certain speed (for example, 40 kilometers per hour). When engaged, the system's sensors detect the preceding vehicle and use the accelerator, brake and / or throttle to guide and stop the vehicle as appropriate, and to automatically adjust the positioning to keep a safe distance between both vehicles. The Stop & Go Cruise system only detects vehicles directly in front and cannot detect vehicles to either side. The driver can override the Stop & Go Cruise system at any time by pushing the accelerator or the brake pedal.A controversial point about fuzzy control systems is stability. A vehicle is a very complex nonlinear system. Therefore, it is very difficult to accurately formalize mathematically. Methods described in the literature to guarantee asymptotic global stability can be applied for this purpose. Intelligent systems do not require models, which makes them especially appropriate for processes such as driving, whose mathematical formalism is not clear. Fuzzy controller is used as a correction controller of the optimal preview acceleration model. In such systems and especially in fuzzy control systems, extensive experimental validation is often considered proof enough of stability and accuracy. The main research contents of this paper are as follows:Firstly, the basic theory and the structure of the driver optimal preview acceleration model which controls the driver's orientation and vehicle's speed are analyzed in this paper. On the basic of the characteristic of city traffic, the Stop & Go Cruise decision arithmetic which is on the basis of fuzzy decision theory is built. The moving track in the future can be forecasted when vehicle movies under low speed.Secondly, the fuzzy correction controller of Stop & Go Cruise is built. As a result that fuzzy control will achieve a very good control result, in this paper fuzzy control is used to the correction tache of the Stop & Go Cruise. During the designing process of the controller, the value variety section of each fuzzy variable is measured on line. The transition from fuzzy theory field to basic theory field is canceled. The problem of the conventional fuzzy controller has no good control result on account of the inaccuracy of the quantity factor is break through. Combining the vehicle's dynamic response character during the moving process with the expert's experience, three decision fuzzy control rule is built. The calculation process is simplified and the control precision is improved.Thirdly, the simulation of the Stop & Go Cruise control system. On the basic of the urban traffic characteristic, some typical urban traffic conditions are designed which are used to prove the validity of the fuzzy controller in this paper. The basic characteristic of the cruise system-automatic following the low speed vehicle in the forward is simulated and then some typical conditions which are in urban traffic are simulated. Such as automatic go, stop, accelerate abruptly, decelerate suddenly. On the basic of the simulation, we can get the result that the controller designed in this paper is correct.The main work of this paper is as follows: The control arithmetic of the Adaptive Cruise Control system which is on the basic of the driver optimal preview acceleration model is expanded. The Stop & Go Cruise control arithmetic is built, consideration the city traffic characteristic and longitude brake control characteristic. The anticipate track estimate index is rebuilt which aims at the stop and go instances.