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首页> 外文会议>Human Factors and Ergonomics Society;Human Factors and Ergonomics Society annual meeting >HUMAN PERFORMANCE MODELING FOR MANUAL TRAFFIC CONTROL
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HUMAN PERFORMANCE MODELING FOR MANUAL TRAFFIC CONTROL

机译：用于手动交通控制的人员绩效建模

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摘要

Manual traffic control (MTC) is a common intersection control strategy in which trained personnel, typically police law enforcement officers, direct traffic movements through an intersection. The need for manual control is often associated with abnormally high, unbalanced, or widely varying directional and intersecting traffic. It is therefore a key part of managing traffic during emergencies and planned special events. Despite its long history of use there has been little research on MTC. The research presented here describes a process where choice behavior is quantified to identify factors that contribute to the traffic control decisions made by police officers. This information was used to develop a quantitative and predictive model for MTC for the analysis of police officers’ performance.
机译：手动交通控制（MTC）是一种常见的十字路口控制策略，训练有素的人员（通常是警察执法人员）通过十字路口指挥交通动向。手动控制的需求通常与异常高，不平衡或方向变化的交通和相交的交通有关。因此，它是在紧急情况和计划中的特殊事件期间管理流量的关键部分。尽管其使用历史悠久，但对MTC的研究很少。此处进行的研究描述了一个过程，在该过程中，对选择行为进行了量化，以识别有助于警务人员做出交通控制决策的因素。该信息用于为MTC开发定量和预测模型，以分析警务人员的表现。

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