Executive Summary : | In the vision to reduce the reliance on foreign sources of oil and reduce the greenhouse gas emissions from the transportation sector, the Government of India (GoI) has taken several significant policy initiatives toward increasing the utilization of Alternative Fuel Vehicles (AFVs). The lack of proper national infrastructure for service and refueling of AFVs presents a significant obstacle to alternative fuel technology adoption. Thus, the scenarios impose to derive an AFV mobility model to utilize the existing infrastructure and to improve the deployment of AFV in the future. The objective of this research is to derive an AI-based based model to estimate and minimize carbon emissions when planning vehicle routes and to implement the model as a computer application with suitable technology. This project supports the AFV users to plan the route between the places with minimal carbon emission and without any issues because of the scarce Alternative Fuel Stations (AFSs) infrastructure. As this project can be applicable to small, medium, and large vehicles, a huge environmental impact can be achieved towards pollution control and management. Aim The aim of the proposal is to develop an Artificial Intelligence-based embeddable module to derive an effective mobility model to optimize and reduce carbon emissions by the AFVs considering the infrastructure constraints specific to the current and future perspective situation in India. Goals The main contributions of this proposal are mainly two-fold, Goal 1: To develop a new GVRP model which combines elements from transportation planning in the form of travel time, speed of the vehicle in travel & load of the vehicle, and elements from vehicle emission models in the form of fuel consumption, road category, acceleration/ deceleration rate, distributed fueling station and current traffic situation. Goal 2: This part of the goal is the implementation of the model derived as an AFV embeddable application and also to assess carbon emission using various values for the identified key constraints. The optimized results for the model with different constraints are evaluated using different observations based on factors such as minimum time, distance, carbon emission, and the tradeoff between them. The result will have a contribution to the common AFV users and the government to use the model to achieve a more sustainable travel operation and also assist government targets for a reduction in carbon emission. Deliverables - AFV embeddable software application module that assists common AFV users and the Government to identify the optimized method to reduce carbon emissions when planning vehicle routes under different constraints specific to current/future perspective infrastructures in India. End Users - Personal and goods transportation users, State transport undertakings/authorities, Public transport corporations, Vehicle fleet owners, Testing & certification agencies and Automobile manufacturers |