Traffic Light Algorithms in Smart Cities: Simulation and Analysis
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 661 LNNS, Page: 222-235
2023
- 1Citations
- 3Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- CrossRef1
- Captures3
- Readers3
Conference Paper Description
One of the most important components of a smart city is smart transport. To design large-scale smart transport systems, simulations are integral to testing the efficacy of various traffic light control algorithms. The traffic light algorithm designers take advantage of the simulation software to build reliable and robust algorithms. In this work, traffic light simulation software was designed, implemented, and tested. The program runs in a web browser and does not require installation. The roads and intersections are JSON-configurable, and the algorithms can be written in JavaScript. The simulation shows real-time statistics of the algorithms’ performance. The result of the work is a working prototype of traffic light simulation software.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85151061550&origin=inward; http://dx.doi.org/10.1007/978-3-031-29056-5_21; https://link.springer.com/10.1007/978-3-031-29056-5_21; https://dx.doi.org/10.1007/978-3-031-29056-5_21; https://link.springer.com/chapter/10.1007/978-3-031-29056-5_21
Springer Science and Business Media LLC
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