This paper presents a new ridesharing simulation platform that accounts for dynamic driver supply and passenger demand, and complex interactions between drivers and passengers. The proposed simulation platform explicitly considers driver and passenger acceptance/rejection on the matching options, and cancellation before/after being matched. New simulation events, procedures and modules have been developed to handle these realistic interactions. The capabilities of the simulation platform are illustrated using numerical experiments. The experiments confirm the importance of considering supply and demand interactions and provide new insights to ridesharing operations. Results show that increase of driver supply does not always increase matching option accept rate, and larger matching window could have negative impacts on overall ridesharing success rate. These results emphasize the importance of a careful planning of a ridesharing system.

翻译：本文介绍了一个新的搭车共享模拟平台,其中考虑到动态驱动器供求和乘客需求,以及司机和乘客之间的复杂互动。拟议的模拟平台明确考虑司机和乘客对匹配选项的接受/拒绝,并在匹配之前/之后取消。已经开发了新的模拟活动、程序和模块来处理这些现实互动。模拟平台的能力通过数字实验加以说明。实验证实了考虑供需互动的重要性,并为搭车共享业务提供了新的见解。结果显示,司机供应的增加并不总是增加匹配选项的接受率,更大的搭车窗口可能对总搭车共享成功率产生消极影响。这些结果强调了认真规划搭车共享系统的重要性。