A Real-Time Queue Length Detection Method Considering Occlusion Problem Based on Roadside LiDAR Data

Real-time queue length information is a quantitative assessing index for evaluating the performance of signalized intersections. Although roadside Light Detection and Ranging (LiDAR) has been used to obtain queue length information, the occlusion problem of the vehicle at the end of the queue (VEQ) is a key factor affecting real-time queue length detection. To deal with occlusion problems, a novel method is proposed in this research. This method performs data preprocessing operations firstly such as region of interest selection, ground point filtering, point cloud clustering, and object association to detect and track vehicles on the road. Then, the problem of vehicle occlusion at the end of the queue is divided into complete occlusion and partial occlusion, and queue length detection methods based on feature changes are proposed to correct the detection results. Finally, the performance of the proposed queue length detection method was assessed by collecting real data on urban roads in Suzhou through experiments. The results show that the average accuracy of the proposed method can reach 98.5%.

• Publication year

  2023

• Venue

  Cyber ..

• Publication date

  2023-07-11

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/CYBER59472.2023.10256646
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Real-Time Queue Length Detection with Roadside LiDAR Data

  2020cited by this paper
• 1 ms Auto Pan-Tilt – video shooting technology for objects in motion based on Saccade Mirror with background subtraction

  2015cited by this paper
• A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos

  2014cited by this paper
• Estimating Queue Length under Connected Vehicle Technology

  2013cited by this paper
• Mechanism Analysis and Optimization of Signalized Intersection Coordinated Control under Oversaturated Status

  2013cited by this paper
• Real time queue length estimation for signalized intersections using travel times from mobile sensors

  2011cited by this paper
• Measurement of Vehicle Queue Length Based on Video Processing in Intelligent Traffic Signal Control System

  2010cited by this paper
• Real-time queue length estimation for congested signalized intersections

  2009cited by this paper
• Input–Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at Signalized Intersections

  2007cited by this paper
• A neural-vision based approach to measure traffic queue parameters in real-time

  1999cited by this paper
• A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

  1996cited by this paper

• No citing papers are available for this paper.