There are different proposals in the literature on how to protect pedestrians using warning systems to alert drivers of their presence. They can be based on onboard perception systems or wireless communications. The evaluation of these systems has been focused on testing their ability to detect pedestrians. A problem that has received much less attention is the possibility of generating too many alerts in the warning systems. In this paper, we propose and analyze four different algorithms to take the decision on generating alerts in a warning system that is based on direct wireless communications between vehicles and pedestrians. With the algorithms, we explore different strategies to reduce unnecessary alerts. The feasibility of the implementation of the algorithms was evaluated with a deployment using real equipment, and tests were carried out to verify their behavior in real scenarios. The ability of each algorithm to reduce unnecessary alerts was evaluated with realistic simulations in an urban scenario, using a traffic simulator with vehicular and pedestrian flows. The results show the importance of tackling the problem of driver overload in warning systems, and that it is not straightforward to predict the load of alerts generated by an algorithm in a large-scale deployment, in which there are multiple interactions between vehicles and pedestrians.

翻译：文献中提出了多种通过预警系统提醒驾驶员注意行人以保护行人的方案。这些系统可基于车载感知系统或无线通信实现。已有评估工作主要聚焦于检测行人的能力，而预警系统可能产生过多警报的问题却鲜受关注。本文针对基于车-人直接无线通信的预警系统，提出并分析了四种不同决策算法以生成警报。通过这些算法，我们探索了多种减少不必要警报的策略。采用真实设备部署验证了算法实现的可行性，并在真实场景中开展测试以验证其行为表现。通过包含车辆与行人流的交通仿真器，在城市场景下通过逼真仿真评估了各算法减少不必要警报的能力。结果表明，解决预警系统中驾驶员过载问题至关重要，且在大规模部署中（存在大量车-人交互时），预测算法产生的警报负载并非易事。