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Evaluation of pedestrian critical gap and crossing speed at midblock crossing using image processing
Accident Analysis & Prevention ( IF 6.376 ) Pub Date : 2021-04-14 , DOI: 10.1016/j.aap.2021.106127
Y Alver 1 , P Onelcin 1 , A Cicekli 1 , M Abdel-Aty 2
Affiliation  

Pedestrians confront risky situations at midblock sections due to the unyielding behavior of drivers. Thus, pedestrians have to wait for an appropriate gap to cross. This research investigates pedestrians’ gap acceptance and crossing speed for midblock crossings by image processing methods in Izmir, Turkey. A total of 498 pedestrians have been tracked at two midblock crossings. The data were collected for one hour at each midblock crossing during the evening peak hour between 5.00–6.00 p.m. Three synchronized cameras were used to record pedestrian crossings. Then, by using image processing, vehicle and pedestrian trajectories have been obtained. Two cameras were mounted on telescopic tripods reaching up to 9 m, and the third camera was used to identify pedestrians’ gender better. The parameters extracted from the recordings are; pedestrians’ gender, group size, whether they carried items or not, and their accepted/rejected gaps. Pedestrian and item detection has been performed by YOLOv3 and YOLACT models. The accepted and rejected time gaps were extracted for pedestrians, excluding the pedestrians who crossed between stopped vehicles and crossed when an approaching vehicle did not exist within 100 m from the midblock crossing. Raff’s method was used to estimate the critical gap using accepted/rejected gaps. The critical gaps ranged between 4.1 s and 6.2 s. The 15th percentile crossing speeds were found to be similar, ranging between 0.78 m/s and 0.80 m/s.



中文翻译:

利用图像处理技术评估中段穿越时的行人临界间隙和穿越速度

由于驾驶员的不屈不挠行为,行人在中路区面临危险的情况。因此,行人必须等待适当的间隙通过。这项研究通过图像处理方法研究了土耳其伊兹密尔的行人对中间路口的间隙接受度和过境速度。在两个中路口处,共追踪到498名行人。在晚上5:00-6.00 pm的高峰时段,每个中间街区过境点收集一小时的数据。使用三个同步摄像机记录行人过境点。然后,通过使用图像处理,获得了车辆和行人的轨迹。两台摄像机安装在可延伸至9 m的可伸缩三脚架上,第三台摄像机用于更好地识别行人的性别。从录音中提取的参数是:行人的性别,团体规模,是否携带物品以及他们接受/拒绝的差距。行人和物品检测已由YOLOv3和YOLACT模型执行。为行人提取了接受和拒绝的时间间隙,但不包括在中路口100 m内没有经过的车辆时,在停靠的车辆之间交叉并经过的行人。使用拉夫(Raff)的方法,通过接受/拒绝的差距来估算临界差距。临界间隙介于4.1 s和6.2 s之间。发现第15个百分位穿越速度相似,介于0.78 m / s和0.80 m / s之间。为行人提取了接受和拒绝的时间间隙,但不包括在中路口100 m内没有经过的车辆时,在停靠的车辆之间交叉并经过的行人。使用拉夫(Raff)的方法,使用已接受/已拒绝的差距来估算临界差距。临界间隙介于4.1 s和6.2 s之间。发现第15个百分位穿越速度相似,介于0.78 m / s和0.80 m / s之间。为行人提取了接受和拒绝的时间间隙,但不包括在中路口100 m内没有经过的车辆时,在停靠的车辆之间交叉并经过的行人。使用拉夫(Raff)的方法,通过接受/拒绝的差距来估算临界差距。临界间隙介于4.1 s和6.2 s之间。发现第15个百分位穿越速度相似,介于0.78 m / s和0.80 m / s之间。

更新日期:2021-04-14
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