Zobrazeno 1 - 10
of 3 527
pro vyhledávání: '"intelligent traffic control"'
Traffic congestion and safety continue to pose significant challenges in urban environments. In this paper, we introduce the Smart Speed Bump (SSBump), a novel traffic calming solution that leverages the Internet of Things (IoT) and innovative non-Ne
Externí odkaz:
http://arxiv.org/abs/2307.00433
Akademický článek
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Autor:
Gouran, Payam1,2 (AUTHOR), Nadimi-Shahraki, Mohammad H.1,2 (AUTHOR) nadimi@iaun.ac.ir, Rahmani, Amir Masoud3,4 (AUTHOR), Mirjalili, Seyedali5 (AUTHOR)
Publikováno v:
Remote Sensing. Jul2023, Vol. 15 Issue 13, p3374. 27p.
Autor:
Vergara Danies, Silfredo Damian1, Ariza Celis, Daniela Carolina1, Perpiñan Duitama, Liseth Maria1
Publikováno v:
Data & Metadata. 2023, Vol. 2, p1-8. 8p.
This paper implements a traffic signal control system by using real-time traffic flow feedback. This system is designed to deal with two-lane intersections. We construct an experiment field similar to the roads and drivers in Taiwan using an autonomo
Externí odkaz:
http://arxiv.org/abs/2109.10181
Based on game theory and dynamic Level-k model, this paper establishes an intelligent traffic control method for intersections, studies the influence of multi-agent vehicle joint decision-making and group behavior disturbance on system state. The sim
Externí odkaz:
http://arxiv.org/abs/2009.05216
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3374 (2023)
In intelligent traffic control systems, the features extracted by loop detectors are insufficient to accurately impute missing data. Most of the existing imputation methods use only these extracted features, which leads to the construction of data mo
Externí odkaz:
https://doaj.org/article/453689ac07a0474b955ed698af57ded2
Autor:
Chen, Jiaona1 (AUTHOR), Liu, Hailong1 (AUTHOR) chenjn@chd.edu.cn, Paul, Anand (AUTHOR), Cheung, Simon K.S. (AUTHOR), Ho, Chiung Ching (AUTHOR), Din, Sadia (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2021, Vol. 40 Issue 4, p7001-7012. 12p.
Autor:
Daeichian, Abolghasem, Haghani, Amir
Publikováno v:
Arabian Journal for Science and Engineering (2017): 1-7
This paper introduces a multi-agent approach to adjust traffic lights based on traffic situation in order to reduce average delay time. In the traffic model, lights of each intersection are controlled by an autonomous agent. Since decision of each ag
Externí odkaz:
http://arxiv.org/abs/1905.01361