Fuzzy logic in car safty

Car natural rubber issues argon wide-reaching problem. This problem is in the main due to human brainish which involves reaction times, delays, and Judgment errors that may motor railroad cable carry on traffic f blue and cause calamitys. In some cases, the cause of the accident is distraction on the part of the driver and failure to react in time. Even in some cases, it could be cause by environmental factors (Song, 2005). Advanced system of auxiliary functions has been arriveed to help avoid much(prenominal) accident and minimize the effects of collision should one occur.Fuzzy logic provides tools for transaction with imprecision, which is fundamental to many locomotive engineering problems. The take aim of pencil eraser in our order could be archived by applying clouded logic understand system. Fuzzy logic interpret technique has become an active bea of research in the application of indus tryout processes, which atomic deed 18 not friendly to straight control techniques. It attempts to emulate human mind for checking the processes parameters and to entertain decisions regarding the control action (Eugene, 1985).Fuzzy control become a huge industry in Japan and other countries where it was adapted into home appliances such as scum cleaners, microwaves ovens, video cameras, washout machines, etc. A fuzzy controller acts or regulates by subject matter of rules in a more or less natural language, establish on the distinguishing feature fuzzy logic. On the other hand, to reduce car accidents we be going to examine a system, which makes the drivers, pay more vigilance and alert them before an accident takes place.Because of this, we sh both acknowledge the digital systems because they ar easier to supervise with, so the first thing in the development is to convert all variations in the car environment into digital signals without any changes. The ultrasonic transmitter circuit sends its vibrations in front of car, when these vibration s reflected the ultrasonic receiver circuit would take these vibrations and amplify it. Moreover, send it to the microelectronic, which finish compute the infinite between the car and anything in front it (as shown in the figure 1 be little).At the same time, the infrared frequency R) circuit senses the round of the wheel and sends it signal to the microelectronic, which lowlife compute the car speed. After that, the microelectronic sends the output signal signal to the speaker and The LCD. In addition, of these output devices the microelectronic sends output data to a personal computer victimization the serial port. Figure 1 Overview of the used ironware copied figure (from daybook of Computer science 4 (1 2) 1061-1063, 2008) We shall consider developing take of synthetic rubber under three steps, which are Defining level of guard scheming each degrees of lay on the line between two vehicles, and Combining these degrees to level of safety with average speeds in some ye ars (Method et al, 2001). In the other hand, to ascertain the hazard degrees of each car, and the base elements, fuzzy sets and their membership functions, are define by using aspect data and degrees of risk (Chunk, 2003). In addition, if-then rules of inference engine are made by rough set theory.Conclusively, to get the level of safety in some divisions, fuzzy membership function value of each safety result is averaged, and a method to et take aim of preventive based on these degrees relates with an average of safety speeds is suggested. Definition of Level of pencil eraser galosh being a wide-reaching problem, has gained various definitions from several authors. The level of safety in a road division means the grades, which people emotional state most the chance to experience, rear-end collision including relentlessness in the division (Song, 2003).This definition is composed of three elements related with roads in themselves, driving behaviors in this road, and relation between drivers and roads. These three factors are mix in microscopic driving behaviors on roads, and five gyroscopic traffic figure variables are selected such as velocity and acceleration of lead and succeeding(a) cars, and the gap out outdistance between these cars divided the minimum safety distance (Method et al, 2001). The minimum safety distance (MS) is the distance that following car require to avoid a rear-end collision.The traffic condition in itself force out be included into velocity, drivers behaviors are able to be included into oscillations of accelerations in every two seconds, and degree of risk in the system can explain the gap distance divided the minimum safety distance (MS). Where, following Car speed Response time Possible retardant rate However, these results are not level of safety but risk degrees of two Cars (Fuller, 2005). Definition of Fuzzy Sets and Membership Function The member functions are divided into speed fuzzy sets and acceleration fuzzy sets (Method et al, 2001). induce fuzzy sets are composed of three sets, eminent speed, medium speed, and low speed. Their membership functions are based on macroscopic traffic condition data and number of accident. Acceleration fuzzy sets also consist of three sets, positive acceleration, no acceleration, and negative acceleration, and membership functions, which are based on microscopic field, survey data and maximum and leafy vegetable acceleration rates of vehicles. The gap distance/MS sets are divided into three fuzzy sets, more than 1, nigh 1, and less than 1 using microscopic data.The unite en risk of exposurement degrees are about from 0. 4 to 0. 55 that corresponds to common situation defined in fuzzy set, and this result means that people drives more or less safely bearing some anger because there are possibility to retrieve accidents in traffic condition in itself but drivers believe that they can response properly to a danger situation. Moreover, this result shows that there are some danger situations n each two vehicle, but in road divisions, the danger degrees become normalized.Figure 3 Relation between Speed and Danger Degrees For this reason, Level of safety device should not include the combined danger degree directly, and should be deducted from relationship between speeds as well as danger degrees. In order to find their relation, pairs of average speed and danger degree are, shown in figure 3. We find that danger degrees are low in low speed level and high in solid speed level, and the level of change is not high in low and rapid speed situations. However, in medium speed case, danger degrees are increase vapidly, and there are two points of inflection.If danger degrees do not change rapidly, drivers would react properly because their expectations to the road conditions are fixed, but if they change fast, the situation on a road division would be heavy because the expectation of drivers cannot be fix. Consequently, the simple possi bility of accidents depends on the grades of change in danger degrees, and the severity depends on the quantity of danger degrees. Conclusively, this seminar suggests Level of Safety such as in Figure 4. First, range of Level of Safety in which relentlessness and possibility of accident is high is defined as Very dangerous situation, E.Similarly, that of range which relentlessness or possibility is high is suggested as dangerous situation, D, and which relentlessness and possibility is usual as common situation, C, and which possibility is low and relentlessness is high as safe situation, B, and which possibility and relentlessness is low as Very safe situation, A, these are shown in Table 3 below. Finally, relation of danger degrees and average speeds develops the intercepts of each level of safety, UT it needs to be more precisely define by further study based on more investigation.Table 3 Level of Safety Definition The possibility The severity The range(km/hrs) Very safe -18 c 25 -40 (or) High 18-25, 40-53 53-63 Figure 4 copied figure (from Proceedings of the Eastern Asia Society for conveyance of title Studies) 8. 0 CONCLUSION This seminar work shows how the system provides a solution to moderate the car accidents by giving the drivers more time to avoid the accidents. Adjusting the aesthesia and the accuracy for the measuring circuits is important to ensure that the assured parameters represent its unquestionable values.The use of microelectronic makes it possible to implement the system with less hardware components. The microelectronic, FISTICUFF was chosen among all the other microelectronics because of its low-cost and small size. In addition, we evaluated safety degrees on a road division, and suggest Level of safety. The method to develop Level of Safety from degrees of danger and combined using fuzzy theory, and we combined danger degrees to define level of service with average speeds. This is the first trial to define