摘要
苏州智能公交系统自2009年运行以来,已积累了大量的GPS时空数据。这些数据中蕴含着丰富的道路拥堵信息,为此开发了一个适用性较强的智能公交数据分析系统。借助该系统,从公交线路、道路路段、城市主干道和城市圈层等四个层面分析公交速度数据,提取苏州道路拥堵信息,获取道路拥堵的时空分布。结果显示,苏州道路拥堵主要集中在古城区,且双休日比工作日拥堵更甚。最后,从交通政策、交通规划、线网调整等方面提出建议,以期缓解道路拥堵问题。
In Suzhou intelligent public transport system, a large number of GPS spatio-temporal data has been accumulated since 2009, which contain a wealth of information on road congestion. Thus, a strong adaptive intel-ligent public transport data analysis system has been developed. With the help of this system, the data on bus speed were extracted from four aspects, including bus lines, road sections, city roads and city spheres to identify the road congestion and obtain the temporal and spatial distribution of road congestion in Suzhou. The results show that Suzhou road congestion is mainly centered on the city＇s historic district, especially on weekends. Final-ly, we put forward some suggestions on alleviating road congestion from the aspects of policy, transportation plan-ning and bus line adjustment.
出处
《苏州科技学院学报（自然科学版）》
CAS
2016年第2期68-73,共6页
Journal of Suzhou University of Science and Technology （Natural Science Edition）
基金
教育部2011年度高等学校博士学科点专项科研基金(博导类)资助课题(20110072110053)
