The routing optimization for multi-modal transport with carbon emission consideration under uncertainty

To deal with the uncertainty and environmental pollution of multi-modal transport, a chance-constrained programming model for transportation decision of multi-modal transport is proposed. The activity-based approach is adopted to estimate the carbon emission, and the chance constraint is used to describe the influence of uncertain transport time on on-time delivery. To improve the solving speed, the deterministic equivalent form of chance-constraint is obtained. An algorithm based on network deformation and improved genetic algorithm is designed to solve the model. The simulation experiments show that the model considering carbon emission can effectively reduce carbon emissions and the deterministic equivalent form can efficiently accelerate the convergent speed.