预测年龄的绿人灯控制鹈鹕交叉系统

Purnawarman Musa, E. P. Wibowo, Saiful Bahri Musa, Iqbal Baihaqi
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引用次数: 3

摘要

交通信号灯一般用于调节十字路口从各个方向的交通控制流量,包括鹈鹕交叉系统,有交通信号灯供行人使用。行人过街有两种设施,即使用行人天桥和斑马线。一般来说,鹈鹕人行横道系统的交通信号是固定时间的,而其他行人则需要有持续时间安排的“绿人”交通信号灯。我们的研究为那些在斑马线过马路的人提出了一个智能鹈鹕斑马线系统的原型,但在过马路时不会有摔倒的风险,特别是在老年人群体或怀孕或带孩子的行人中。另一方面,问题是平均步长或步长(厘米距离),节奏或步行速度(每分钟步数),以及事故的可能性非常高,行人要确保在绿灯期间过马路。本研究的新思路是利用FaceNet和AgeNet两种人工智能相结合的方法,基于行人的年龄,对“绿人”交通灯鹈鹕路口智能系统进行自适应时间安排设置。所得到的测量结果可以预测66.67%的训练数据集的行人年龄,并与73%(单面)和76%(多面)的鹈鹕穿越系统上的参与者实时测试原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pelican Crossing System for Control a Green Man Light with Predicted Age
Traffic lights are generally used to regulate the control flow of traffic at an intersection from all directions, including a pelican crossing system with traffic signals for pedestrians. There are two facilities for walker crossing, namely using a pedestrian bridge and a zebra cross. In general, the traffic signals of the pelican crossing system are a fixed time, whereas other pedestrians need "green man" traffic lights with duration time arrangement. Our research proposes a prototype intelligent pelican crossing system for somebody who crosses the road at zebra crossings, but the risk of falling while crossing is not expected, especially in the elderly age group or pedestrians who are pregnant or carrying children. On the other hand, the problem is that the average step length or stride length (distance in centimeter), cadence or walking rate (in steps per minute), and the possibility of accidents are very high for pedestrians to make sure do crossing during the lights “green man”. The new idea of our research aims to set the adaptive time arrangement on the pelican crossing intelligent system of the traffic lights “green man” based on the age of the pedestrians with artificial intelligence using two combined methods of the FaceNet and AgeNet. The resulting measure can predict the age of pedestrians of the training dataset of 66.67% and testing prototype in real-time with participants on the pelican crossing system of 73% (single face) and 76% (multi faces).
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