Division Approach of Traffic Signal Control Sub-Area

Guo, Jingjing; Xiong, Qipeng; Chen, Sheng

doi:10.1109/iciecs.2009.5363143

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…In addition, clustering is also a useful method to identify critical routes. Fuzzy-C means clustering method has been used to improve accuracy and robustness of sub-area control [23]. Clustering method is easy to calculate, and the number of clusters can be adjusted based on actual management requirements.…”

Section: Literature Reviewmentioning

confidence: 99%

Route Identification Method for On-Ramp Traffic at Adjacent Intersections of Expressway Entrance

Wang

Xiao-dong

Wang

et al. 2019

Journal of Advanced Transportation

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To determine the control strategy at intersections adjacent to the expressway on-ramp, a route identification method based on empirical mode decomposition (EMD) and dynamic time warping (DTW) is established. First, the de-noise function of EMD method is applied to eliminate disturbances and extract features and trends of traffic data. Then, DTW is used to measure the similarity of traffic volume time series between intersection approaches and expressway on-ramp. Next, a three-dimensional feature vector is built for every intersection approach traffic flow, including DTW distance, space distance between on-ramp and intersection approach, and intersection traffic volume. Fuzzy C-means clustering method is employed to cluster intersection approaches into classifications and identify critical routes carrying the most traffic to the on-ramp. The traffic data are collected by inductive loops at Xujiahui on-ramp of North and South Viaduct Expressway and surrounding intersections in Shanghai, China. The result shows that the proposed method can achieve route classification among intersections for different time periods in one day, and the clustering result is significantly influenced by three dimensions of traffic flow feature vector. As an illustrative example, micro-simulation models are built with different control strategies. The simulation shows that the coordinated control of critical routes identified by the proposed method has a better performance than coordinated control of arterial roads. Conclusions demonstrated that the proposed route identification method could provide a theoretical basis for the coordinated control of traffic signals among intersections and on-ramp.

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Section: Literature Reviewmentioning

confidence: 99%

Route Identification Method for On-Ramp Traffic at Adjacent Intersections of Expressway Entrance

Wang

Xiao-dong

Wang

et al. 2019

Journal of Advanced Transportation

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On a clustering-based mining approach for spatially and temporally integrated traffic sub-area division

Niu

Zhu

et al. 2020

Engineering Applications of Artificial Intelligence

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A survey of urban traffic coordination controls in intelligent transportation systems

2012

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics

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The urban traffic coordination controls (UTCCs) can make full use of the mutual advantages of intersections, which makes it can improve the traffic access capacity and decrease the possibility of traffic congestion in intersections. This paper gives an overview of UTCCs. After reviewing the concept of UTCCs, we survey the several main hot topics in UTCCs: the correlation degree analysis of intersections, the division approach of traffic control subareas and the objects of coordination. This paper provides a survey of urban traffic coordination controls with the goal of promoting research in this area and concludes with some comments on future research directions.

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Division Approach of Traffic Signal Control Sub-Area

Cited by 3 publications

References 1 publication

Route Identification Method for On-Ramp Traffic at Adjacent Intersections of Expressway Entrance

Route Identification Method for On-Ramp Traffic at Adjacent Intersections of Expressway Entrance

On a clustering-based mining approach for spatially and temporally integrated traffic sub-area division

A survey of urban traffic coordination controls in intelligent transportation systems

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