Vehicle Routing Model Based on Real- Time Road Conditions Considering Carbon Emissions

The vehicle routing problem is an important research topic in the field of intelligent transport. The accurate vehicle routing model is the key to solving the vehicle routing problem. With the awakening awareness of low-carbon logistics and the urgent need for sustainable development, carbon emissions have become a focus of attention in vehicle route modelling. Vehicle routing model based on real-time road conditions considering carbon emission (VRM-RCCE) is proposed in this paper to solve the low-carbon intelligent transport. Firstly, the vehicle speed is identified as a key variable that affects carbon emissions by analyzing the carbon emissions mechanisms. The vehicle speed is predicted accurately based on real-time road conditions. Secondly, a vehicle routing model, considering vehicle numbers, the routing length and the carbon emission, is constructed. The carbon emission is calculated through the predicted vehicle speed. Finally, the validity of VRM-RCCE is verified using Gurobi. Optimal routing schemes are obtained using ant colony optimization algorithm. The VRM-RCCE can effectively assist in solving the vehicle routing problem, providing a powerful theoretical support and practical tool for intelligent transport management.