OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation
| العنوان: | OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation |
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| المؤلفون: | Margherita Grossi, Paolo Sottovia, Rongye Shi, Cristian Axenie, Götz Brasche, Mohamad Al Hajj Hassan, Stefano Bortoli, Daniele Foroni, Alexander Wieder |
| المصدر: | Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track ISBN: 9783030865139 ECML/PKDD (4) |
| بيانات النشر: | Springer International Publishing, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Spiking neural network, Complex dynamics, Nonlinear system, Traffic congestion, Computer science, Computation, Control system, Real-time computing, SIGNAL (programming language), Computer Science::Networking and Internet Architecture, Traffic flow |
| الوصف: | Traffic congestion poses serious challenges to urban infrastructures through the unpredictable dynamical loading of their vehicular arteries. Despite the advances in traffic light control systems, the problem of optimal traffic signal timing is still resistant to straightforward solutions. Fundamentally nonlinear, traffic flows exhibit both locally periodic dynamics and globally coupled correlations under deep uncertainty. This paper introduces Oscillator-Based modelling and control using Efficient neural Learning for Intelligent road traffic Signal Calculation (OBELISC), an end-to-end system capable of modelling the cyclic dynamics of traffic flow and robustly compensate for uncertainty while still keeping the system feasible for real-world deployments. To achieve this goal, the system employs an efficient representation of the traffic flows and their dynamics in populations of spiking neural networks. Such a computation and learning framework enables OBELISC to model and control the complex dynamics of traffic flows in order to dynamically adapt the green light phase. In order to emphasize the advantages of the proposed system, an extensive experimental evaluation on real-world data completes the study. |
| ردمك: | 978-3-030-86513-9 |
| DOI: | 10.1007/978-3-030-86514-6_27 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e1ca87e37e6b5c8b1b5049524f5d94e7 https://doi.org/10.1007/978-3-030-86514-6_27 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........e1ca87e37e6b5c8b1b5049524f5d94e7 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030865139 |
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| DOI: | 10.1007/978-3-030-86514-6_27 |