A vehicle environmental-friendly path planning method based on improved ant colony algorithm

To reduce exhaust emissions and fuel consumption from vehicles traveling on urban roads, this paper presents an environmentally friendly vehicle routing guidance method based on an improved ant colony algorithm. Firstly, an exhaust emission model for vehicle travel is constructed using the specific power approach, and a mixed integer programming model is established with the objective of minimizing vehicle fuel consumption and exhaust emissions. Then, the improved ant colony algorithm is used to solve the model. Finally, taking a specific area in Yuxi city of Yunnan province as the research object, experimental analysis of on-board diagnostics (OBD) data in this region demonstrates that compared to the shortest path, the path obtained by this method reduces total vehicle emissions by 10.97% and total fuel consumption by 17.63%, despite an increase in total length by 10.95%. Environmentally friendly vehicle routing can effectively reduce emissions and fuel consumption during travel, even with a slight increase in driving distance.