.png){kind=icon}
返回
Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation
.png){kind=icon}
OA
AI
DOI：10.1016/j.trc.2023.104238.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Real-time queue length is a crucial information, increasingly needed for signal operation and signal optimization purposes. This paper proposes a novel multivariate time-varying Kalman filter approach to estimate the cycle-based maximum queue lengths in real-time by only using high-resolution vehicle loop detector data and signal timing data. The modeling framework builds on state changing points that can be identified at detector site and shockwave theory that models the propagation of traffic states in the space-time domain. The times at which traffic states change at the detector site, known as break points (e.g., free flow to jam condition, jam to saturation condition, etc.) are identified using high resolution detector data and the end of the queue is estimated using linear models that build on the shockwave theory. Nevertheless, this deterministic approach, which is previously proposed in the literature, does not account for measurements errors associated with traffic state changing points or the assumptions in the shockwave theory. Therefore, we propose a multivariate time-varying Kalman filter approach to produce a robust estimate for the cycle-based maximum queue length in both undersaturated and oversaturated conditions. Further, the developed algorithm can estimate the residual queue length and inform its occurrence in case of oversaturation. The proposed methodology can easily be adapted in practice, as it relies solely on measurements from a single loop detector that may be located close to the stop line.
Keyword:
Kalman filter
High-resolution data
Loop detector data
Occupancy
Cycle-based maximum queue length
Traffic states
Shockwave theory
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.9
论文数:
4.9K
被引数:
3.2W
机构
引用论文
.png){kind=icon}
Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting心理生理学研究中的心率变异性和心脏迷走神经张力-实验计划，数据分析和数据报告的建议OAAI
OAAI分享收藏Cardiac vagal control as a prospective predictor of anxiety in women diagnosed with breast cancer
PREAI
分享收藏Various methods for queue length and traffic volume estimation using probe vehicle trajectories使用探测车辆轨迹估算排队长度和交通量的各种方法OAAI
OAAI分享收藏
查看更多内容