or to the computer simulation. Two kinds of drive cycle can be made. One is DISTANCE DEPENDENT (SPEED versus DISTANCE versus ALTITUDE) and the other one is TIME DEPENDENT (SPEED VS TIME VS GEAR SHIFT). The DISTANCE DEPENDENT is the actual replica of the test road whereas TIME DEPENDENT is the compressed version of the actual time taken to conduct the test on road. Examples of TIME DEPENDENT drive cycles are European NEDC cycle, FTP-75. TIME DEPENDENT drive cycles are used specifically for chassis dynamo meter testing because in a short time the results can be availed and repeated tests can be done easily. Driving Cycle Recognition Based on the type of application drive cycles are made. Drive cycle for passenger cars are different from commercial vehicle. Driving Cycle Prediction This is a technique for prediction of future driving cycles and patterns for different types of vehicle applications. These cycles are used as an important input in designing and evaluating future power train systems and vehicle concepts. As of today, obsolete drive cycles are used during the design phase and due to this the changes in traffic conditions and infrastructure which has occurred during the last decade are not taken into account. Therefore, the need for new drive cycles representing today or the next few decades is great. This technique can predict future drive cycle by integrating available measurement data, high-fidelity traffic simulators and traffic models for heavy vehicles. Desirably, traffic simulation models are automatically generated and used to collect predicted drive cycles. References External links Fleet DNA: Clearinghouse of Commercial Fleet Vehicle Drive Cycle Data (National Renewable Energy Laboratory) US EPA Dynamometer Drive Schedules - Examples of driving cycles and downloadable data sets, including UDDS, FTP75, HWFET, US06, and others. Wheels: road load energy demand calculator - Online tool to calculate vehicle road load over a driving cycle DieselNet - Introduction to various standard driving cycles Automotive technologies Hybrid vehicles