| 引用本文: | 蒋贤才,金宇,谢志云.车联网环境下干线交通信号协调控制方法[J].哈尔滨工业大学学报,2021,53(3):18.DOI:10.11918/202001060 |
| JIANG Xiancai,JIN Yu,XIE Zhiyun.Arterial coordinated signal control method under connected vehicle environment[J].Journal of Harbin Institute of Technology,2021,53(3):18.DOI:10.11918/202001060 |
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| 摘要: |
| 针对目前车联网环境下仅进行车速诱导的干线协调信号控制方法存在的绿灯利用效率不高问题,借助车辆与基础设施间的双向信息交互功能,考虑车速诱导与信号控制方案双向优化,以形成饱和车队为目标,提出一种新的干线交通信号协调控制策略. 在此基础上,定义每个周期每个交叉口处待处理车辆的到达时间范围；并对车辆延误和停车次数进行加权,形成一个综合性能评价指标(PI),以加权评价指标最优为目标,建立信号控制参数优化模型,并给出求解算法. 案例分析表明:与仅进行车速诱导的干线协调信号控制方法相比,所提出的方法能使交叉口车均PI降低11.2%,验证了模型的有效性和可行性. 从速度诱导区间、平均行程车速、交叉口间距等方面分析了优化模型的敏感度,确定了模型的适用条件,结果表明这些因素对信号控制方法的优化效果有显著影响. |
| 关键词: 交通工程 干线协调信号控制 车速诱导 车联网 仿真评价 |
| DOI：10.11918/202001060 |
| 分类号:U491 |
| 文献标识码:A |
| 基金项目:哈尔滨市科技创新人才研究专项资金(2016RAQXJ079) |
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| Arterial coordinated signal control method under connected vehicle environment |
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JIANG Xiancai,JIN Yu,XIE Zhiyun
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(School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)
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| Abstract: |
| In view of the low efficiency of green time utilization in the traditional arterial coordinated signal control method which only conducts speed guidance under connected vehicle environment, based on the two-way information interaction between vehicles and infrastructures, a new arterial coordinated signal control method was proposed with the goal of forming a saturated traffic flow by considering the two-way optimization of speed guidance and signal control scheme. On this basis, the arrival time range of the vehicles to be processed at each intersection in each cycle was defined, and the delay and stops of the vehicles were weighted to form a comprehensive performance evaluation index (PI). The optimization model of signal control parameters was established based on the minimum average PI, and the solution algorithm was designed. Case study shows that compared with the traditional arterial coordinated signal control method that only conducts speed guidance, the proposed method reduced the average PI of vehicles at intersections by 11.2%, which verifies the validity and feasibility of the model. The sensitivity of the optimization model was analyzed from the aspects of speed guidance interval, average travel speed, and intersection spacing, and the applicable conditions of the model were determined. Results show that these factors had significant influence on the optimization results of the signal control method. |
| Key words: traffic engineering arterial coordinated signal control speed guidance connected vehicle simulation evaluation |
