针对高峰时期公交专用道利用率较低的问题,提出一种基于信号预控的动态公交专用道策略,提升道路资源时空利用。在保证公交优先基础上对交通流构成比例进行影响分析,确定了APL、IBL和DBL三种常用车道控制模式适用范围;以路段人均时耗最...针对高峰时期公交专用道利用率较低的问题,提出一种基于信号预控的动态公交专用道策略,提升道路资源时空利用。在保证公交优先基础上对交通流构成比例进行影响分析,确定了APL、IBL和DBL三种常用车道控制模式适用范围;以路段人均时耗最小为目标函数,建立动态公交专用道规划模型,确定了各车道模式临界流量值;考虑交叉口信号差异下车道排队消散时长不同,构建基于信号预控下路段清空条件,实现公交专用道提前预控,建立了信号预控下动态公交专用道控制流程。以重庆市某段路为案例,选取全时段普通混合车道(all purpose lane,APL)、间歇式公交专用道(intermittent bus lane,IBL)和完全式公交专用道(dedicated bus lane,DBL)为参照,分别对实验路段和公交专用道进行评价分析。结果表明:本文动态公交专用道策略能够提高公交专用车道资源利用率,有效缓解公交优先和路段整体交通效率之间的矛盾。展开更多
The prioritization of public transit as an essential means of promoting sustainable urban development has a significant role in improving the quality of public transportation services,reducing traffic congestion,and e...The prioritization of public transit as an essential means of promoting sustainable urban development has a significant role in improving the quality of public transportation services,reducing traffic congestion,and enhancing air quality.To improve the implementation of public transit prioritization policies,this study conducted a comprehensive review of relevant literature on public transit prioritization from two major citation databases(Web of Science and China National Knowledge Infrastructure)from 2003 to 2021.Utilizing the visualization analysis software CiteSpace,this study analyzed knowledge visualization from five aspects:research sources,research institutions,knowledge foundation,knowledge frontier,and research hotspots,and summarized the research history and implementation effectiveness of public transit prioritization policies.The study concludes that existing research has some deficiencies in terms of urban diversity,comprehensive evaluation system,holistic perspective,interdisciplinary collaboration,and consideration of economic and environmental impacts.Future research should focus on development directions such as intelligence,sustainability,interdisciplinary collaboration,and integration of multi-modal transportation.The findings of this study can provide valuable references for the implementation of public transportation prioritization policies and future research.展开更多
文摘针对高峰时期公交专用道利用率较低的问题,提出一种基于信号预控的动态公交专用道策略,提升道路资源时空利用。在保证公交优先基础上对交通流构成比例进行影响分析,确定了APL、IBL和DBL三种常用车道控制模式适用范围;以路段人均时耗最小为目标函数,建立动态公交专用道规划模型,确定了各车道模式临界流量值;考虑交叉口信号差异下车道排队消散时长不同,构建基于信号预控下路段清空条件,实现公交专用道提前预控,建立了信号预控下动态公交专用道控制流程。以重庆市某段路为案例,选取全时段普通混合车道(all purpose lane,APL)、间歇式公交专用道(intermittent bus lane,IBL)和完全式公交专用道(dedicated bus lane,DBL)为参照,分别对实验路段和公交专用道进行评价分析。结果表明:本文动态公交专用道策略能够提高公交专用车道资源利用率,有效缓解公交优先和路段整体交通效率之间的矛盾。
基金supported by the Fundamental Research Funds for the Central Universities (2572020AW50)Jilin Province Science and Technology Development Project (2022040-2030GH)。
文摘The prioritization of public transit as an essential means of promoting sustainable urban development has a significant role in improving the quality of public transportation services,reducing traffic congestion,and enhancing air quality.To improve the implementation of public transit prioritization policies,this study conducted a comprehensive review of relevant literature on public transit prioritization from two major citation databases(Web of Science and China National Knowledge Infrastructure)from 2003 to 2021.Utilizing the visualization analysis software CiteSpace,this study analyzed knowledge visualization from five aspects:research sources,research institutions,knowledge foundation,knowledge frontier,and research hotspots,and summarized the research history and implementation effectiveness of public transit prioritization policies.The study concludes that existing research has some deficiencies in terms of urban diversity,comprehensive evaluation system,holistic perspective,interdisciplinary collaboration,and consideration of economic and environmental impacts.Future research should focus on development directions such as intelligence,sustainability,interdisciplinary collaboration,and integration of multi-modal transportation.The findings of this study can provide valuable references for the implementation of public transportation prioritization policies and future research.
