With greenhouse gas emissions (GHG) being identified as a major cause, climate change is considered as a major environmental concern in recent decades. Globally, policymakers have been trying to reduce GHG emissions through a variety of policies and strategies Given that the Philippine ratio of greenhouse gas (GHG) to gross domestic product (GDP) is above the global average, GHG production is predicted to escalate if it remains unaddressed This study presents various methods for fuel estimates of drive cycles developed in the Philippines. In estimating emission inventories, driving cycles can be considered as one of the significant travel-based models. The findings suggest that the pros and cons of using different methods of fuel economy in driving cycles must be taken into consideration. The study introduces energy road load methods to analyze drive cycles for different vehicle types, including air-conditioned and non-air-conditioned ones. It compares cycles from various routes using energy road load and driving behavior to assess fuel consumption, considering laboratory testing for future research. The findings also suggest that such method Micro-trip provides a good contemplation of fuel estimates and vehicular emissions, evaluates each stop-go condition that happens due to road network conditions, and uses a cycle based on actual driving data [1]. However, the starting point and end point of micro-trips cannot be determined due to specific speed, acceleration, and duration variations, especially considering different levels of service (LOS). The nature of being stochastic and repetitive makes it challenging to produce these micro-trip differences.