Saturation Flow Rate of Urban At-Grade Signalized Intersection Under Different Climatic Conditions (Case Study: Sattari-Mokhberi Intersection)

Faezi, Seyed Farzin; Dolatabadi, M. Maleki

doi:10.1007/s40996-021-00603-0

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…When analyzing the degree of congestion at signalized intersections, the queue length is often taken as the benchmark. With the help of queue length information, it can not only visually reflect the actual situation of signalized intersections, but also play an important role in evaluating the operation efficiency of intersections [9]. It is also an extremely important parameter index for the optimization of intersection signal control.…”

Section: Introductionmentioning

confidence: 99%

Active integration algorithm of vehicle road cooperative signal based on deep reinforcement learning

Huang,

Sun,

Cai

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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In the process of integrated processing of vehicle road cooperative signals, due to the low accuracy of the analysis results of road traffic status, the specific effect of using it to manage road traffic is not ideal. For this reason, this paper proposes the research of vehicle road cooperative signal active integration algorithm based on deep reinforcement learning. Taking full account of the shortcomings of the reinforcement learning algorithm in terms of convergence, we introduced deep reinforcement learning, added a new target network to the original reinforcement learning network, combined with the road traffic state transition matrix, and calculated the traffic state of the road environment by updating and iterating. In the active integration stage of vehicle road cooperative signals, based on the boosting algorithm, the differences shown in the analysis results of road traffic status are used to construct corresponding differences between integrators, and the integrated processing of them is realized on the basis of differentiated road traffic status signal weights. In the test results, under the design algorithm, the average travel time of road traffic is only 185s, the average travel speed reaches 5.97m/s, and the average queue length is only 6.52 vehicles, which has good application effect.

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Section: Introductionmentioning

confidence: 99%