摘要
为提高自行车流交通安全性,以单行自行车流为研究对象,研究不同转弯曲率条件下自行车流动力学特性。设置1/14、1/12、1/10、1/8、1/6、1/4、1/2七种转弯曲率,基于聚类算法提取自行车运动轨迹,采用瞬时测量法计算基本量并绘制基本图,对比分析转弯曲率对自行车流交通特性的影响。结果显示,转弯曲率对自行车流的动态有显著影响,随着自行车密度增加,流量趋于不稳定,高密度下出现走停波;当转弯曲率为1/8时,自行车流动效率最高,而大于或小于该值都会降低效率。研究结果对城市自行车道设计和弯道区域的自行车流安全管理具有重要指导价值。
To improve the traffic safety of bicycle flow,taking the single-lane bicycle flow as the research object,the dynamic characteristics of bicycle flow under turning curvatures were studied.Seven kinds of turning curvatures of 1/14,1/12,1/10,1/8,1/6,1/4 and 1/2 were set up,the bicycle motion trajectories were extracted through the cluster algorithm,fundamental quantities were calculated through the instantaneous measurement method,and then the fundamental diagrams were plotted.The influence of turning curvature on the dynamic characteristics of bicycle flow were compared and analyzed.The results show that the turning curvature has a significant effect on the dynamics of the bicycle flow.As the bicycle density increasing,the bicycle flow tends to be unstable,and the stop-and-go wave appears at the high density.The flow efficiency of the bicycle flow is highest when the turning curvature is 1/8,and it decreases when the turning curvature is either greater or less than this value.These results provide important guiding value for the design of urban bicycle lanes and the safety management of bicycle flow in curved areas.
作者
徐雅洁
张艳平
户佐安
XU Yajie;ZHANG Yanping;HU Zuoan(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China)
出处
《交通科技与经济》
2025年第4期24-30,共7页
Technology & Economy in Areas of Communications
基金
四川省自然科学基金项目(2024NSFSC0183)。
关键词
慢行交通
交通流
可控实验
自行车
均值漂移聚类算法
slow transportation
traffic flow
controlled experiment
bicycle
mean-shift cluster algorithm
