Volume 40 Issue 4
Aug.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(4): 110-118
ZHANG Gaofeng, LIU Xiaoming, SHANG Yanyu, XU Jin. An Analysis of Operating Characteristic of Vehicles at Signalized Road Intersections in Mountainous Cities Based on Aerial Video Data[J]. Journal of Transport Information and Safety, 2022, 40(4): 110-118. doi: 10.3963/j.jssn.1674-4861.2022.04.012
Citation: ZHANG Gaofeng, LIU Xiaoming, SHANG Yanyu, XU Jin. An Analysis of Operating Characteristic of Vehicles at Signalized Road Intersections in Mountainous Cities Based on Aerial Video Data[J]. Journal of Transport Information and Safety, 2022, 40(4): 110-118. doi: 10.3963/j.jssn.1674-4861.2022.04.012
shu

An Analysis of Operating Characteristic of Vehicles at Signalized Road Intersections in Mountainous Cities Based on Aerial Video Data

doi: 10.3963/j.jssn.1674-4861.2022.04.012
  • 1.

    College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China

  • 2.

    China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610051, China

  • 3.

    Chongqing Key Laboratory of"Human-Vehicle-Road"Cooperation & Safety for Mountain Complex Environment, Chongqing Jiaotong University, Chongqing 400074, China

  • Received Date: 2022-03-03
    Available Online: 2022-09-17
    Abstract
  • In order to identify operating characteristics of vehicles approaching signalized intersections in mountainous cities and their influencing factors, aerial video data of the traffic are captured at four signalized intersections in a mountainous city by drones. The operating characteristics of vehicles are extracted by AI video analysis from DataFromSky cloud platform. Based on a time-space diagram and the obtained data, the statistics of delay value, time headway and space headway before stop lines of straight lanes at intersections are calculated. Moreover, the correlations between the space headway, speed of a vehicle passing through the stop line, and average gradient of road are analyzed. The results show that the operating characteristics of a vehicle vary with its position in a queue. Furthermore, even with the same position in a queue, the operating characteristics of a vehicle still vary with different road sections. When waiting behind a stop line, the distribution of stop positions of vehicles closer to the stop line is more concentrated than that farther from it. The overall distribution of stop positions of vehicles is more dispersed in downhill sections than that in uphill sections. No matter it is an uphill section, a downhill section, or a gentle slope, the distribution of delay at a location closer to the stop line is larger than that at a location farther from it, and the maximum value of delay appears in the downhill sections. The distribution of time headways is concentrated at 1.5 s for all types of road sections, and it is more dispersed in uphill sections than that in downhill sections or gentle slopes, but the maximum value of time headways in uphill sections is smaller than that in downhill sections or gentle slopes. The distribution of space headways is concentrated at 10 m for all types of road sections, and it is skewed to the left in uphill and downhill sections, while that is more symmetric and concentrated to the mean value in gentle slopes. For all types of road sections, there is a strong positive correlation between space headway and the speed of a vehicle passing through the stop line. Besides, there is a positive correlation between average gradient of road and space headway of adjacent vehicles.

     

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