Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (15): 235-241.DOI: 10.3778/j.issn.1002-8331.1905-0184

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Time-of-Day Control Optimization of Data-Driven Urban Road Constant-Peak-Type Intersections in Sensor Networks

XU Chen, DONG Decun, OU Dongxiu   

  1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, School of Transportation Engineering, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai 201804, China
  • Online:2020-08-01 Published:2020-07-30



  1. 同济大学 道路与交通工程教育部重点实验室,上海市轨道交通结构耐久与系统安全重点实验室,上海 201804


In order to overcome the complexity of the single factor and multi-factor method of time-of-day control in the constant-peak-type intersections, this paper proposes a novel optimization model of the division of time-of-day control segmented points of constant-peak-type intersections based on sensor networks and data-driven. The dimension of traditional traffic flow data is increased by sensor networks, and a vector quantity is developed to represent the size, direction, and average time frequency with conflict point traffic of the total traffic flow at a certain intersection for a period by introducing a 3D vector of intersection traffic flow. A time-series segmentation algorithm is used to merge the distances between adjacent 3D vectors to obtain the time-of-day control scheme. The actual traffic flow data of a city in 2016 is used as the test data for comparative analysis. It is shown that when the innovated double-order optimization model is used  in the intersection according to the constant-peak-type traffic flow characteristic, its control is more accurate and efficient than that of the traditional total flow segmentation model. The total delay time is reduced by approximately 6.04%.

Key words: traffic signal control, time-of-day control, data-driven, sensor networks



关键词: 交通信号控制, 多时段控制, 数据驱动, 传感网