重庆大学学报2024，Vol.47Issue(3)：53-65,13.DOI:10.11835/j.issn.1000-582X.2022.127
路侧侵扰影响下的机动车速度特性分析及预测
Analysis and prediction of motor vehicle speed characteristics under the influence of roadside intrusions
摘要
Abstract
Low-grade roads often experience frequent roadside intrusions, leading to serious conflicts and disorder. Accurate prediction of the complex traffic-behavior characteristics on such roads is essential for understanding the mechanisms of traffic accidents influenced by roadside intrusions. For this purpose, we collected videos depicting five types of common roadside intrusions on low-grade highways and urban roads. From these videos, we extracted high-resolution vehicle micro-trajectories, and determined the vehicle speeds as they traversed the intrusion area. Then, we identified characteristic sections within the intrusion area, and analyzed the evolution of spatial and temporal characteristics of the vehicle speed. Finally, we established a vehicle speed prediction model using linear, logarithmic and cubic regressions. Notably, the cubic regression model exhibited superior speed prediction performance in the complex scenarios of the intrusion area. The results showed that speed reduction in the intrusion zone of low-grade urban roads is typically higher than that on highways. The deceleration effect is significant for drivers approaching the intrusion source. Additionally, drivers tend to accelerate through the front intrusion zone when their intentions align with those of the intrusion source. However, in scenarios where predicting the behavioral intentions of the intrusion source is challenging, speed may fluctuate to some extent.关键词
交通工程/车辆速度/交通特性/低等级道路/路侧侵扰Key words
traffic engineering/vehicle speed/traffic characteristics/low-grade road/roadside intrusion分类
交通工程引用本文复制引用
谢济铭,钱正富,夏玉兰,赵鹏燕,秦雅琴..路侧侵扰影响下的机动车速度特性分析及预测[J].重庆大学学报,2024,47(3):53-65,13.基金项目
国家自然科学基金资助项目(71861016).Supported by National Natural Science Foundation of China(71861016). （71861016）
