Shared electric vehicles (SEVs) are becoming a new way for urban residents to travel because of their environmental protection, energy saving, and sustainable development. However, at present, the operation mode of shared electric vehicles has the problem that the vehicle cannot be utilized efficiently. For this reason, this paper studied the mode of SEVs with ride-sharing (MSEVRS) and SEVs routing optimization under this mode. Firstly, the operation principle of MSEVRS is presented, which includes the collection of user demand information and SEVs information and the routing optimization of SEVs, both of which are completed by the user and SEVs management center. Secondly, the routing optimization model of SEVs with ride-sharing is proposed, in which the SEVs operation cost, user time cost, user rental cost, and user ride-sharing bonus are taken into account. And the genetic algorithm is designed to solve the model. Finally, a case study is carried out to illustrate the effectiveness of the proposed model. The results show that the proposed routing optimization model achieves the optimal SEVs route, realizes the MSEVRS, and improves the utilization rate of SEVs. Compared with the current SEVs mode (CSEVM), the MSEVRS reduces the number of vehicles, user rental cost, the total cost of users, and the total cost of user and company of SEVs. And the total distance is reduced, which means saving energy. Moreover, it shows that MSEVRS obtains a better cost performance and service for users and has a better application prospect.

中文翻译：

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共享电动汽车的路线共享优化

共享电动汽车（SEV）由于其环保，节能和可持续发展，正成为城市居民出行的新途径。然而，目前，共享电动车辆的操作模式具有不能有效利用车辆的问题。因此，本文研究了带乘车共享（SEV）的SEV的模式以及该模式下SEV的路线优化。首先，提出了MSEVRS的工作原理，包括用户需求信息和SEV信息的收集以及SEV的路由优化，这两者均由用户和SEV管理中心共同完成。其次，提出了带有乘车共享的SEV的路径优化模型，其中SEV的运营成本，用户时间成本，用户租赁成本，以及用户乘车共享奖励。设计了遗传算法对模型进行求解。最后，进行了案例研究以说明所提出模型的有效性。结果表明，所提出的路由优化模型可以实现最优的SEV路线，实现MSEVRS，提高SEV的利用率。与当前的SEVs模式（CSEVM）相比，MSEVRS减少了车辆数量，用户租赁成本，用户总成本以及SEV的用户和公司总成本。并且总距离减少了，这意味着节省了能源。而且，它表明MSEVRS为用户获得了更好的性价比和服务，并具有更好的应用前景。进行了案例研究以说明所提出模型的有效性。结果表明，所提出的路由优化模型能够实现最优的SEV路由，实现MSEVRS，提高SEV的利用率。与当前的SEVs模式（CSEVM）相比，MSEVRS减少了车辆数量，用户租赁成本，用户总成本以及SEV的用户和公司总成本。并且总距离减少了，这意味着节省了能源。而且，它表明MSEVRS为用户获得了更好的性价比和服务，并具有更好的应用前景。进行了案例研究以说明所提出模型的有效性。结果表明，所提出的路由优化模型可以实现最优的SEV路由，实现MSEVRS，提高SEV的利用率。与当前的SEVs模式（CSEVM）相比，MSEVRS减少了车辆数量，用户租赁成本，用户总成本以及SEV的用户和公司总成本。并且总距离减少了，这意味着节省了能源。而且，它表明MSEVRS为用户获得了更好的性价比和服务，并具有更好的应用前景。MSEVRS减少了车辆数量，用户租赁成本，用户总成本以及SEV的用户和公司总成本。并且总距离减少了，这意味着节省了能源。而且，它表明MSEVRS为用户获得了更好的性价比和服务，并具有更好的应用前景。MSEVRS减少了车辆数量，用户租赁成本，用户总成本以及SEV的用户和公司总成本。并且总距离减少了，这意味着节省了能源。而且，它表明MSEVRS为用户获得了更好的性价比和服务，并具有更好的应用前景。