交通事件驱动的干道主动BRT优先控制策略设计与应用机理研究

Since 2006, bus rapid transit has been successfully implemented in more than ten cities in China. However, there is lack of major breakthroughs in the development and application of bus rapid transit signal priority at arterials. From the perspective of experienced traffic engineers, it is believed that some traffic events that can be quantitatively analyzed and exactly perceived have a significant impact on arterial and intersection signal operations. Enlightened by the theory of Justice as Fairness and non-optimization methodology, a series of traffic events are filtered and extracted from the general understandings of right-of-way assignment and green time allocation. The driving mechanisms of traffic events on arterial and intersection signal operations are completely and deeply explained. Field observation and data analysis are conducted to be aware of the specific characteristics in terms of road and traffic environments in which BRT system is operating. Under the circumstances of open technical architecture, multi-sensor data fusion, and integration of transit signal priority and transit dispatch, it presents a traffic event-driven bus rapid transit signal priority at arterials (Ted-BRTSP) that is designed to ensure schedule adherence of BRT service, to produce a better green wave progression, and to improve the performance of arterial and intersection. Software-in-the-loop and hardware-in-the-loop simulations are employed to study the application methods of Ted-BRTSP from the aspects of model parameters calibration, fault emergency maneuver, etc. The research findings are original and innovate and will contribute not only to the development of next generation traffic signal control system with advanced bus rapid transit signal priority but also to effective and efficient implementation of BRT system.

在BRT系统快速推广、干道主动BRT优先控制策略研究鲜有重大突破的背景下，认为一些可定量解析、可准确感知的交通事件对干道主动BRT优先控制具有驱动作用，将"作为公平的正义"理论和非优化建模思想引入研究过程，从影响干道通行时间资源分配的一般规律中提取若干交通事件，深入剖析交通事件对干道主动BRT优先控制的驱动作用机理。通过实地勘察和调查分析，认识BRT优先通行条件下的干道系统在道路交通环境方面具有的特殊性。在开放式技术架构、多传感器数据融合、信号优先与运营调度协同的环境下，以保障BRT车辆运行的准点性、改善社会车辆的绿波效果、提升干道系统和个体交叉口的整体性能为基本目的，建立交通事件驱动的干道主动BRT优先控制策略设计方法。利用软件/硬件在环仿真实验技术，从模型参数标定、故障应急管理等方面，研究交通事件驱动的干道主动BRT优先控制策略的应用方法。研究成果具有原创性和新颖性，可以指导工程实践。

在BRT 系统快速推广、干道主动BRT 优先控制策略研究鲜有重大突破的背景下，认为一些可定量解析、可准确感知的交通事件对干道主动BRT 优先控制具有驱动作用，将“作为公平的正义”理论和非优化建模思想引入研究过程，从影响干道通行时间资源分配的一般规律中提取若干交通事件，深入剖析交通事件对干道主动BRT 优先控制的驱动作用机理。通过实地勘察和调查分析，认识BRT 优先通行条件下的干道系统在道路交通环境方面具有的特殊性。在开放式技术架构、多传感器数据融合、信号优先与运营调度协同的环境下，以保障BRT 车辆运行的准点性、改善社会车辆的绿波效果、提升干道系统和个体交叉口的整体性能为基本目的，建立交通事件驱动的干道主动BRT 优先控制策略设计方法。利用软件/硬件在环仿真实验技术，从模型参数标定、故障应急管理等方面，研究交通事件驱动的干道主动BRT优先控制策略的应用方法。研究成果具有原创性和新颖性，可以指导工程实践。