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DYNAMIC MATCHING SYSTEM FOR DRIVER DISPATCHING WITH APPLICATION TO ON-DEMAND SERVICE PLATFORMS

机译:驾驶员调度动态匹配系统在按需服务平台上的应用

摘要

#$%^&*AU2020100669A420200604.pdf#####ABSTRACT With the development of technological advances in mobile networks and Global Position System, on-demand services have emerged on a massive scale. We propose a measurement-based algorithm, which is capable to deal with online case in large scale and to approximate the optimum at a ratio o for cost minimization. The request-driver measurement is based on four factors: passenger's waiting time calculated by the drop-off time of its last request plus the drive from the drop-off location to the pick-up location of the request; the time to home after serving the request; the requests density to evaluate the benefit to serve the current order; the importance of the order, which may reflect the revenue or the willing to pay. The request is assigned to the driver with the lowest measurement. The system will also set a threshold and reject the requests whose measurement function is above the threshold for all drivers.DRAWINGS The measurement function with d is start smaller than the current driver New renueqt r Yes No Assign the new Assign r to d,i.e. d*order to do by d default. d* = do Find a (next) driver d d is the last driver? No Yes Assign r to d*, add it to the end of d*'s to-do list end Figure 1. Schematically flowchart of the proposed MB algorithm
机译:#$%^&* AU2020100669A420200604.pdf #####抽象随着移动网络和全球定位系统技术的进步,按需服务已经大规模出现。我们建议基于测量算法,能够大规模处理在线案例并逼近最优以比率o最小化成本。请求驱动程序度量基于四个因素:乘客的等待时间,由下一次请求的下车时间加上从下车地点到请求的接送地点;收到请求后回家的时间;请求密度以评估服务于当前订单的收益;订单的重要性这可能反映了收入或支付意愿。该请求通过以下方式分配给驱动程序:最低的测量。系统还将设置一个阈值并拒绝其测量功能高于所有驱动器的阈值。图纸测量d的功能是开始小于当前司机新换新是没有将新的Assign r分配给d,即d *d命令默认。 d * =做查找(下一个)驱动程序d d是最后一个司机?没有是将r分配给d *,然后将其添加到d *待办事项清单的结尾结束图1.提议的MB算法的示意流程图

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