Scipediacontent: Scipediacontent moved page Draft Content 264856297 to Zhang et al 2018l

2021-02-15T11:15:24Z

Scipediacontent moved page Draft Content 264856297 to Zhang et al 2018l

Scipediacontent: Created page with " == Abstract == Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer f..."

2021-02-15T11:15:17Z

Created page with " == Abstract == Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer f..."

New page

== Abstract ==

Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer from three main problems. Firstly scalability: they rely on a centralized server, which has to perform intensive communication and computational tasks. Secondly unpredictability: they use smartphones and other sensors to detect the congested roads and warn upcoming vehicles accordingly. In other words, they are used to solve the problem rather than avoiding it. Lastly, infrastructure dependency: they assume the presence of pre-installed infrastructures such as roadside unit (RSU) or cellular 3G/4G networks. Motivated by the above-mentioned reasons, in this paper, we proposed a fully distributed and infrastructure-less congestion avoidance and traffic optimization system for VANET (Vehicular Ad-hoc Networks) in urban environments named DIFTOS (Distributed Infrastructure-Free Traffic Optimization System), in which the city map is divided into a hierarchy of servers. The vehicles that are located in the busy road intersections play the role of servers, thus DIFTOS does not rely on any centralized server and does not need internet connectivity or RSU or any kind of infrastructure. As far as we know, in the literature of congestion avoidance using VANET, DIFTOS is the first completely infrastructure-free congestion avoidance system. The effectiveness and scalability of DIFTOS have been proved by simulation under different traffic conditions.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_264856297-beopen945-5144-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/s18082567 http://dx.doi.org/10.3390/s18082567] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.3390/s18082567 http://dx.doi.org/10.3390/s18082567] under the license http://creativecommons.org/licenses/by/3.0/

* [http://europepmc.org/articles/PMC6111977 http://europepmc.org/articles/PMC6111977] under the license https://creativecommons.org/licenses/by/4.0

* [https://dx.doi.org/10.3390/s18082567 https://dx.doi.org/10.3390/s18082567]

* [https://www.mdpi.com/1424-8220/18/8/2567/pdf https://www.mdpi.com/1424-8220/18/8/2567/pdf]

* [http://www.mdpi.com/1424-8220/18/8/2567 http://www.mdpi.com/1424-8220/18/8/2567],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220] under the license cc-by

* [http://www.mdpi.com/1424-8220/18/8/2567/pdf http://www.mdpi.com/1424-8220/18/8/2567/pdf],
: [http://dx.doi.org/10.3390/s18082567 http://dx.doi.org/10.3390/s18082567]

* [https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#ZhangADA18 https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#ZhangADA18],
: [https://www.ncbi.nlm.nih.gov/pubmed/30082595 https://www.ncbi.nlm.nih.gov/pubmed/30082595],
: [https://academic.microsoft.com/#/detail/2887625567 https://academic.microsoft.com/#/detail/2887625567] under the license https://creativecommons.org/licenses/by/4.0/

← Older revision	Revision as of 11:15, 15 February 2021
(No difference)

Zhang et al 2018l - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 264856297 to Zhang et al 2018l

Scipediacontent: Created page with " == Abstract == Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer f..."