Coordinated Ramp Metering Based on Real-Time OD Information

Chen, Yongheng; Liu, Fanghong; Bai, Qiaowen; Tao, Chuqing; Qi, Xingzu

doi:10.1109/access.2019.2923438

Cited by 5 publications

(5 citation statements)

References 37 publications

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“…Meshkat applied a quantitative hierarchical model to ramp coordination signal optimization for the first time ( Meshkat et al, 2015 ). Chen added real-time OD information based on Meshkat to determine the priority of on-ramp flow through the total vehicle travel distance ( Chen et al, 2019b ).…”

Section: Literature Reviewmentioning

confidence: 99%

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Coordinated ramp signal optimization framework based on time series flux-correlation analysis

Zhi¹,

Shu²,

Shen³

et al. 2021

PeerJ Computer Science

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Urban expressways provide an effective solution to traffic congestion, and ramp signal optimization can ensure the efficiency of expressway traffic. The existing methods are mainly based on the static spatial distance between mainline and ramp to achieve multi-ramp coordinated signal optimization, which lacks the consideration of the dynamic traffic flow and lead to the long time-lag, thus affecting the efficiency. This article develops a coordinated ramp signal optimization framework based on mainline traffic states. The main contribution was traffic flow-series flux-correlation analysis based on cross-correlation, and development of a novel multifactorial matric that combines flow-correlation to assign the excess demand for mainline traffic. Besides, we used the GRU neural network for traffic flow prediction to ensure real-time optimization. To obtain a more accurate correlation between ramps and congested sections, we used gray correlation analysis to determine the percentage of each factor. We used the Simulation of Urban Mobility simulation platform to evaluate the performance of the proposed method under different traffic demand conditions, and the experimental results show that the proposed method can reduce the density of mainline bottlenecks and improve the efficiency of mainline traffic.

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Section: Literature Reviewmentioning

confidence: 99%

“…Existing methods use only local information, such as spatial distance, OD information ( Chen et al, 2019b ). They determine the traffic flow priority without consideration of the similarity of traffic patterns between the congested section and the on-ramp.…”

Section: Introductionmentioning

confidence: 99%

Coordinated ramp signal optimization framework based on time series flux-correlation analysis

Zhi¹,

Shu²,

Shen³

et al. 2021

PeerJ Computer Science

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“…Reducing traffic congestion and maintaining the flow within the freeway capacity is necessary for the safe and proper operation of any urban traffic system [1][2][3][4][5][6][7]. Ramp metering (RM) is one of the most important strategies for traffic control to reduce freeway delay and improve safety [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Novel Ramp Metering Approach Based on Machine Learning and Historical Data

Ghanbartehrani

Sanandaji

Mokhtari³

et al. 2020

MAKE

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The random nature of traffic conditions on freeways can cause excessive congestion and irregularities in the traffic flow. Ramp metering is a proven effective method to maintain freeway efficiency under various traffic conditions. Creating a reliable and practical ramp metering algorithm that considers both critical traffic measures and historical data is still a challenging problem. In this study we use simple machine learning approaches to develop a novel real-time ramp metering algorithm. The proposed algorithm is computationally simple and has minimal data requirements, which makes it practical for real-world applications. We conduct a simulation study to evaluate and compare the proposed approach with an existing traffic-responsive ramp metering algorithm.

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“…Yongheng Chen et al analyzed the behavior of "Coordinated Ramp Metering Based on Real-Time OD Information" [20]. With the advancement of Internet of Vehicles (IoV) technology, information about the origin-destination of vehicles will become available in real time shortly.…”

mentioning

confidence: 99%

“…Overview of network performance indicators. Conditions (a), (b,) and (c) refer to 0.5×, 1.0×, and 1.5× flow, respectively[20].…”

mentioning

confidence: 99%

Analysis and Evaluation of Ramp Metering: From Historical Evolution to the Application of New Algorithms and Engineering Principles

et al. 2021

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In the modern era, characterized by intense urbanization and frequent travel between interconnected communities, the constant expansion of cities, associated with high densities and growing need for traveling, has led to a significant increase in road traffic volumes. More than ever, road traffic today requires effort to be managed effectively in order to improve performance and safety conditions, given the greater probability of unpleasant events such as accidents or road congestion with related delays and the increased stress levels of the user and infrastructure. Fortunately, there are already various engineering tools, such as ramp metering, that can be used for this purpose. Ramp metering allows for achieving the aforementioned desired benefits, including improving mobility, reliability, efficiency, and safety, and even reducing environmental impact. It also has been shown to be cost-effective from the existing literature. Further research will be necessary to strengthen the quality, efficacy, and efficiency of ramp metering, especially considering the fast-paced progress in technology (e.g., connected autonomous vehicles and drones used for surveys) and new challenging scenarios (e.g., congested industrial areas and emergency vehicles). This review’s scope is to present a general overview of principal ramp metering solutions, focusing on current research studies in the last couple of years and highlighting some of the main algorithms used for this purpose, depending on diverse scenarios. With this article, the authors desire to present the subject of ramp metering, providing a general overview of its story, evolution, and recent analytical models.

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Coordinated Ramp Metering Based on Real-Time OD Information

Cited by 5 publications

References 37 publications

Coordinated ramp signal optimization framework based on time series flux-correlation analysis

Coordinated ramp signal optimization framework based on time series flux-correlation analysis

A Novel Ramp Metering Approach Based on Machine Learning and Historical Data

Analysis and Evaluation of Ramp Metering: From Historical Evolution to the Application of New Algorithms and Engineering Principles

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