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基于导航地图红绿灯数据的饱和状态干道信号控制优化方法

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本文提出了一种基于导航地图红绿灯数据的干道信号控制优化方法,设计了高峰时段划分、公共周期优化、相位时间分配、配时方案校验的单点模拟人工控制的优化流程和基于排队均衡截流的干道协调相位差计算方法,并重点选取南昌北京东路高峰期信号优化进行案例分析.与现行控制方式方案相比,利用本文方法优化的信号控制方案显著降低了北京东路的高峰期手控时长,并使干道双向平均拥堵指数下降19%,平均延误时间下降16%.方法基于人工实践经验并结合交通信号控制理论,实现了对饱和状态干道的信号控制方案优化,可以有效地解决路口常态手控、排队溢出等实际问题.
Optimization Method of Saturated State Arterial Road Signal Control Based on Navigation Map Traffic Light Data
This paper proposes a method for arterial signal control optimization based on navigation map traffic light data.It designs an optimization process for manual control simulation at a single point,including peak period division,common cycle optimization,phase time allocation,and timing scheme verification.Additionally,it develops a method for calculating arterial coordinated phase differences based on queue balancing and diversion.A case study focusing on peak period signal optimization for Beijing East Road in Nanchang is conducted.Compared to the current control scheme,the optimized signal control scheme using this method significantly reduces the manual con-trol duration during peak periods on Beijing East Road,lowers the bidirectional average congestion index by 19%,and decreases the average delay time by 16%.The method,based on practical experience combined with traffic sig-nal control theory,optimizes the signal control scheme for saturated arterial.It effectively deal with practical issues such as routine manual control at intersections and queue overflow.

signal optimizationsaturated arterial roadsignal color datasimulated manual control

胡欣媛、李福樑

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深圳市综合交通与市政工程设计研究总院有限公司,广东 深圳

广东省智能交通系统重点实验室,广东广州

信号优化 饱和干道 信号灯态数据 模拟手控

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(24)