Adjustment of signal timing parameter based on video technology

Wu, Jinglong; Zhao, Ziran; Yao, Shuntian; Liu, Bohang

doi:10.1109/icade.2012.6330092

Cited by 1 publication

(2 citation statements)

References 6 publications

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“…x (1) i x i (2) x i (3) x i (4) x i (5) x i (6) x i (7) À x i (12) x i The dual variables of x (1) i À x (6) i in Zone 2…”

Section: Orsts Based On Machine Learning Methodsmentioning

confidence: 99%

“…To better capture the features of road users, computer image processing has shown its advantages for real-time performance. 6,7 Machine learning techniques also play important roles in optimizing the strategies for traffic control. In previous studies, neural network, 8 Q-learning, 9 support vector machine, 10 fuzzy logic, 11 and other methods are proposed to deal with streaming data to mine out the potential value, which were effective to support traffic control design.…”

Section: Introductionmentioning

confidence: 99%

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A real-time signal control strategy at an isolated pedestrian crossing based on radar data

Guo

et al. 2019

Advances in Mechanical Engineering

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Fixed-time traffic signal control strategy in an isolated pedestrian crossing tends to reduce traffic capacity and expose vulnerable road users to more danger. To mitigate the negative impact of previous control strategy, this study proposed an optimal real-time signal timing strategy to protect pedestrian crossing and at the same time minimize the system-wide traffic delay. With the application of a wide-area radar data, the features of vehicles, pedestrians, and the passing time of non-motor vehicles and pedestrian were captured considering conflicts and traffic delay. The support vector machine for regression was utilized to hypothesize traffic delay by training. The discrete values of hypothetical passing time will be tested. The minimum value of delay can be recognized and the corresponding hypothetical passing time will be recommended as the green time for crossing. The performance of the proposed ORSTS outperformed the fixed-time traffic signal control strategy in reducing traffic delay by 22.3%.

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“…x (1) i x i (2) x i (3) x i (4) x i (5) x i (6) x i (7) À x i (12) x i The dual variables of x (1) i À x (6) i in Zone 2…”

Section: Orsts Based On Machine Learning Methodsmentioning

confidence: 99%