考虑疫情扩散传播风险的多目标拼车 应急管理优化调度模型.

Under the background of COVID-19, the traditional ridesplitting scheduling mode is facing the potential risk of cross infection, which brings insecurity to travellers. In order to solve this contradiction, this paper first analyzes the matching constraints among travellers under the background of the epidemic, propose a ridesplitting strategy to separate low-risk and potential risk passengers. Considering the social benefits and service quality that the platform should take into account under the COVID-19, this paper develop a dual objective ridesplitting emergency management optimization scheduling model which minimize the waiting time on the basis of rated profit, and propose a combined simulated annealing algorithm for this model. The effectiveness of the model and algorithm is verified by a specific example. The results show that the model can converge to a stable value, and the calculation results can truly reflect the actual scene, which shows the effectiveness of the model and algorithm. Finally, through a simulation experiment, the role of the model in virus transmission is analyzed. The results show that the model can effectively inhibit the virus transmission speed caused by ridesplitting. [ABSTRACT FROM AUTHOR]