An Integratable V-X Communication based Conventional Vehicle Fuel Optimization model for distance based Ecological Driving Scheme

Abstract

This thesis paper proposes An Integratable V-X Communication-based Conventional Vehicle Fuel Optimization model for real-time traffic conditions. Before departure, the speed profile for an entire route is optimized using signal phase and timing (SP AT) information and location of traffic lights to provide smooth transitions at traffic signal intersections. In this study, we are going to develop ”nonstop” optimal speed model that can be integrated to existing distance based eco-driving schemes. The initial simulation is done using MATLAB to evaluate optimal speed, fuel economy, the travel time of the ”nonstop” model and the results are compared with the optimization results from distance based eco-driving scheme which uses an estimation of distribution algorithm (EDA). Further integration compatibility of ”nonstop” model with the distance based eco-driving scheme is analyzed.