2017年第二届IEEE智能交通工程国际会议2017 2nd IEEE International Conference on Intelligent Transportation Engineering会议时间:2017年9月1日~3日会议地点:新加坡主要议题:人工交通系统;公共交通管理;港口、航道、内河航运和船...2017年第二届IEEE智能交通工程国际会议2017 2nd IEEE International Conference on Intelligent Transportation Engineering会议时间:2017年9月1日~3日会议地点:新加坡主要议题:人工交通系统;公共交通管理;港口、航道、内河航运和船舶交通管理;行人和骑车者的建模、模拟和控制;ITS用户服务;应急管理;交通运输网络;废气排放、噪声和环境;异常事件管理:事故、疏散、应急;安全系统;驾驶员与旅行者支持系统;商用车辆营运;智能物流;数据管理系统;交通运输中的ITS;合作技术和系统;智能车辆;视觉和环境感知;电动汽车交通系统;电子支付系统; ITS交通理论;建模。展开更多
Machine intelligence is increasingly entering roles that were until recently dominated by human intelligence. As humans now depend upon machines to perform various tasks and operations, there appears to be a risk that...Machine intelligence is increasingly entering roles that were until recently dominated by human intelligence. As humans now depend upon machines to perform various tasks and operations, there appears to be a risk that humans are losing the necessary skills associated with producing competitively advantageous decisions.Therefore, this research explores the emerging area of human versus machine decision-making. An illustrative engineering case involving a joint machine and human decision-making system is presented to demonstrate how the outcome was not satisfactorily managed for all the parties involved. This is accompanied by a novel framework and research agenda to highlight areas of concern for engineering managers. We offer that the speed at which new human-machine interactions are being encountered by engineering managers suggests that an urgent need exists to develop a robust body of knowledge to provide sound guidance to situations where human and machine decisions conflict. Human-machine systems are becoming pervasive yet this research has revealed that current technological approaches are not adequate. The engineering insights and multi-criteria decision-making tool from this research significantly advance our understanding of this important area.展开更多
基金supported by a Key SciTech Project of Shandong Province(2004GG1104001),a Key Project of the National Natural Science Foundation of China(60334020) ,an Open Project Research of the Key Laboratory of Complex System &Intelligence Science of Chinese Academy of Sciences(20050101) ,aProject of the National Natural Science Foundation of China (60504025) ,a Doctoral Fund Project of Shandong Academy of Sciences (2005006) ,a KeyProject of Shandong Academy of Sciences (2005029)
文摘2017年第二届IEEE智能交通工程国际会议2017 2nd IEEE International Conference on Intelligent Transportation Engineering会议时间:2017年9月1日~3日会议地点:新加坡主要议题:人工交通系统;公共交通管理;港口、航道、内河航运和船舶交通管理;行人和骑车者的建模、模拟和控制;ITS用户服务;应急管理;交通运输网络;废气排放、噪声和环境;异常事件管理:事故、疏散、应急;安全系统;驾驶员与旅行者支持系统;商用车辆营运;智能物流;数据管理系统;交通运输中的ITS;合作技术和系统;智能车辆;视觉和环境感知;电动汽车交通系统;电子支付系统; ITS交通理论;建模。
文摘Machine intelligence is increasingly entering roles that were until recently dominated by human intelligence. As humans now depend upon machines to perform various tasks and operations, there appears to be a risk that humans are losing the necessary skills associated with producing competitively advantageous decisions.Therefore, this research explores the emerging area of human versus machine decision-making. An illustrative engineering case involving a joint machine and human decision-making system is presented to demonstrate how the outcome was not satisfactorily managed for all the parties involved. This is accompanied by a novel framework and research agenda to highlight areas of concern for engineering managers. We offer that the speed at which new human-machine interactions are being encountered by engineering managers suggests that an urgent need exists to develop a robust body of knowledge to provide sound guidance to situations where human and machine decisions conflict. Human-machine systems are becoming pervasive yet this research has revealed that current technological approaches are not adequate. The engineering insights and multi-criteria decision-making tool from this research significantly advance our understanding of this important area.
