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Automotive manufacturers are striving to improve the real-world driving experience for customers. To provide the better overall performance like fuel economy, we must have the real world driving behavior of our customers. The driving behavior of customers may change from city to city or region to region. Thus to make a real representative driving behavior of customer for each different region becomes tedious task. The present paper describes a detailed methodology to make a representative driving pattern quickly based on a Matlab script. The vehicles were driven in major Indian cities (Delhi, Mumbai, Nasik and Pune). The data was recorded with a frequency of 1 Hz. This data is segregated into different short trips. These short trips are grouped together based on maximum vehicle velocity in each short trip & velocity acceleration frequency distribution. Velocity acceleration frequency distribution of individual short trip is compared with each other quantitatively using Matlab script.

In the Indian Context, Fuel Economy of a vehicle is one of key elements while buying a Car. The fuel economy declared by OEMs (Original Equipment Manufacturers) is one of the key indicators while assessing the fuel economy. However it is based on a standard driving cycle and evaluated under standard conditions as mandated by emission legislation. As the driving pattern has a major influence on fuel economy, the objective of this paper is to study real world driving patterns and to define a methodology to simulate a real world driving cycle. A case study was done on Delhi City, by running a fleet of vehicles in different traffic conditions. Thereafter data analysis like acceleration %, specific energy demand per distance, Acceleration vs. Vehicle Speed distribution etc. was done with the help of MATLAB. The final validation of cycle was done by comparing Lab results with on-road Fuel Economy data.