In response to the issue of travel comfort in electric vehicle path planning, an electric vehicle path planning model considering traveler comfort was constructed. Based on the Dijkstra algorithm, path planning simulations were conducted considering various influencing factors such as time, distance, electric vehicle (EV) energy consumption, and traveler comfort. The effectiveness of the model and algorithm was verified through corresponding test cases, and an example calculation and analysis was conducted in surrounding area of Nanning Station in Nanning City. The results indicate that the optimal path model constructed has increased travel distance, travel time, and travel energy consumption by 3.1%, 13.3%, and 4.6% compared to conventional path planning models, but has improved comfort by 9.4%. Therefore, the study can provide reference for research on improving the quality of electric vehicle travel.