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ABSTRACT

Automobiles have become an integrated part of our daily life.  The development of technology has improved

the automobile industry in both cost & efficiency.  Still, accidents prove as challenge to technology.  Highway accident news are frequently found in the newspapers.  The automobile speed has increased with development in technology through years and the complexity of the accidents has also increased.  Higher speeds the accidents prove to be more fatal.  Man is intelligent with reasoning power and can respond to any critical situation.  But under stress and tension he falls as a prey to accidents.  The manual control of speed & braking of a car fails during anxiety.  Thus automated speed control & braking system is required to prevent accidents.  This automation is possible only with the help of Artificial Intelligence (Fuzzy Logic).

Abstract:

      Every one of us might have seen the heavy trucks running on the roads. These vehicles have efforts on their axles very close to the allowed limits, mainly driving on rough roads or during cornering. In this case, the use of conventional suspension systems  like those using McPherson Struts, Multi Link Suspension, Trailing Arm Suspension, 4- bar suspension etc. can increase the axle’s overload phenomena. Hydropneumatic suspension system, when used in these vehicles, takes an asset in providing a better load distribution per axle, decreasing the overload problem and thereby increasing the ride comfort. The well known problem of the damper co-efficient changes due to load variation in vehicles using conventional suspension system is even more observable when a hydropneumatic spring is applied due to its non linearity, as opposed to the several advantages this spring type brings. This problem is more emphasized in vehicles with a large mass range when they pass from a no load condition to a full load condition.