基于微观仿真的同站台换乘站客流疏散研究

旨在对同站台换乘站的客流行为和规律,以及对车站乘客疏散时的情况进行分析和研究。通过建立同站台换乘站的微观疏散仿真模型,利用微观仿真软件VISSIM对某即将建成使用的同站台换乘站的仿真模拟,直观地对客流的疏散过程和疏散人群分布状况进行动态观察,通过改变模型的参数设置,考察不同情况下换乘站的换乘效率,得出提高换乘效率的措施和建议,并最终为换乘站的设施设计和运营管理提供辅助设计与决策支持。     

城市道路应急交通组织措施及仿真评价*

为应对城市范围内的各类突发事件对城市道路交通系统带来的不利影响。在分析路径分配（交通分流）、反向交通组织、交叉口信号控制调整、交通管制措施等应急交通组织措施的基础上,以南京“6.20”道路交通事故为例,综合运用各种应急交通组织措施对城市局部路网进行应急交通组织,并通过VISSIM交通仿真软件对采用各种应急交通组织措施前后研究区域的行程时间进行对比。结果表明:采用应急交通组织措施对研究区域的交通疏导效果显著,且处理事故的时间越长,应急交通组织措施带来的优化效果越明显。     

Evaluation of countermeasures for red light running by traffic simulator–based surrogate safety measures

Objective: The conflicts among motorists entering a signalized intersection with the red light indication have become a national safety issue. Because of its sensitivity, efforts have been made to investigate the possible causes and effectiveness of countermeasures using comparison sites and/or before-and-after studies. Nevertheless, these approaches are ineffective when comparison sites cannot be found, or crash data sets are not readily available or not reliable for statistical analysis. Considering the random nature of red light running (RLR) crashes, an inventive approach regardless of data availability is necessary to evaluate the effectiveness of each countermeasure face to face.

Method: The aims of this research are to (1) review erstwhile literature related to red light running and traffic safety models; (2) propose a practical methodology for evaluation of RLR countermeasures with a microscopic traffic simulation model and surrogate safety assessment model (SSAM); (3) apply the proposed methodology to actual signalized intersection in Virginia, with the most prevalent scenarios—increasing the yellow signal interval duration, installing an advance warning sign, and an RLR camera; and (4) analyze the relative effectiveness by RLR frequency and the number of conflicts (rear-end and crossing).

Results: All scenarios show a reduction in RLR frequency (?7.8, ?45.5, and ?52.4%, respectively), but only increasing the yellow signal interval duration results in a reduced total number of conflicts (?11.3%; a surrogate safety measure of possible RLR-related crashes). An RLR camera makes the greatest reduction (?60.9%) in crossing conflicts (a surrogate safety measure of possible angle crashes), whereas increasing the yellow signal interval duration results in only a 12.8% reduction of rear-end conflicts (a surrogate safety measure of possible rear-end crash).

Conclusions: Although increasing the yellow signal interval duration is advantageous because this reduces the total conflicts (a possibility of total RLR-related crashes), each countermeasure shows different effects by RLR-related conflict types that can be referred to when making a decision. Given that each intersection has different RLR crash issues, evaluated countermeasures are directly applicable to enhance the cost and time effectiveness, according to the situation of the target intersection. In addition, the proposed methodology is replicable at any site that has a dearth of crash data and/or comparison sites in order to test any other countermeasures (both engineering and enforcement countermeasures) for RLR crashes.