Abstract

Traffic control at road intersections is based on traffic lights (TLs). The control mechanism typically used for traffic lights operates based on a periodic schedule to change the light (red/yellow/green). In many cases, a different schedule is used in late night/early morning hours. This fixed control mechanism does not adequately account for changing traffic conditions, and is unaware of/unresponsive to congestion. In this work, we propose a framework for dynamic traffic light control at intersections. The framework relies on a simple sensor network to collect traffic data and includes novel protocols for traffic flow control to handle congestion and facilitate flow. We show that our proposed algorithms have low overhead and are practical to employ in live traffic flow scenarios. Through extensive simulations, we demonstrate the benefits of our framework in optimizing traffic flow metrics, such as traffic throughput, average vehicle waiting time, and vehicle waiting line length.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/wcnc.2016.7564921 under the license cc0
https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920024,
https://www.nist.gov/publications/cyber-physical-systems-framework-dynamic-traffic-light-control-road-intersections,
https://academic.microsoft.com/#/detail/2520057207
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Document information

Published on 01/01/2016

Volume 2016, 2016
DOI: 10.1109/wcnc.2016.7564921
Licence: Other

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