Research on ride-sharing user equilibrium problem based on low-carbon travel orientation

Ride-sharing can improve the utilization rate of space in the car and reduce the amount of road traffic, which is of great significance to alleviate congestion and carbon emissions. By introducing carbon cost, this paper analyzes the traffic assignment problem under the demand of private car travel and carpooling travel, defines the travel cost of different travelers (self-driving drivers, ride-sharing drivers, ride-sharing passengers), constructs a ride-sharing user equilibrium model based on low-carbon travel orientation, and proposes strategies to promote users to participate in carpooling. The effectiveness of the model and strategy is verified by an example. Based on the sensitivity analysis method, the influence of preferential strategies on carbon reduction effect and congestion degree is analyzed. The results show that the preferential strategy has a positive effect on promoting shared travel, reducing carbon emissions and alleviating traffic congestion, which provides a reference for traffic managers to formulate relevant policies.