Scipediacontent: Scipediacontent moved page Draft Content 257266931 to 238,295fp

2021-03-22T20:09:54Z

Scipediacontent moved page Draft Content 257266931 to 238,295fp

Scipediacontent: Created page with " == Abstract == Vehicular traffic congestion is a serious problem arising in many cities around the world, due to the increasing number of vehicles utilizing roads of a limit..."

2021-03-22T20:09:08Z

Created page with " == Abstract == Vehicular traffic congestion is a serious problem arising in many cities around the world, due to the increasing number of vehicles utilizing roads of a limit..."

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== Abstract ==

Vehicular traffic congestion is a serious problem arising in many cities around the world, due to the increasing number of vehicles utilizing roads of a limited capacity. Often the congestion has a considerable influence on the travel time, travel distance, fuel consumption and air pollution. This paper proposes a novel dynamic centralized simulated annealing based approach for finding optimal vehicle routes using a VIKOR type of cost function. Five attributes: the average travel speed of the traffic, vehicles density, roads width, road traffic signals and the roads' length are utilized by the proposed approach to find the optimal paths. The average travel speed and vehicles density values can be obtained from the sensors deployed in smart cities and communicated to vehicles and roadside communication units via vehicular ad hoc networks. The performance of the proposed algorithm is compared with four other algorithms, over two test scenarios: Birmingham and Turin city centres. These show the proposed method improves traffic efficiency in the presence of congestion by an overall average of 24.05%, 48.88% and 36.89% in terms of travel time, fuel consumption and CO2 emission, respectively, for a test scenario from Birmingham city in the UK. Additionally, similar performance patterns are achieved for the a test with data from Turin, Italy.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_257266931-beopen1171-6305-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.1016/j.techfore.2018.09.013 http://dx.doi.org/10.1016/j.techfore.2018.09.013] under the license http://creativecommons.org/licenses/by-nc-nd/4.0

* [http://eprints.whiterose.ac.uk/136776/1/Centralized%20Simulated%20Annealing%20for%20Alleviating%20Vehicular%20Congestion%20in%20Smart%20Cities.pdf http://eprints.whiterose.ac.uk/136776/1/Centralized%20Simulated%20Annealing%20for%20Alleviating%20Vehicular%20Congestion%20in%20Smart%20Cities.pdf] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [http://eprints.whiterose.ac.uk/140425/1/Centralized%20Simulated%20Annealing%20for%20Alleviating%20Vehicular%20Congestion%20in%20Smart%20Cities.pdf http://eprints.whiterose.ac.uk/140425/1/Centralized%20Simulated%20Annealing%20for%20Alleviating%20Vehicular%20Congestion%20in%20Smart%20Cities.pdf] under the license http://creativecommons.org/licenses/by-nc-nd/4.0

* [http://eprints.whiterose.ac.uk/140425/1/Centralized%20Simulated%20Annealing%20for%20Alleviating%20Vehicular%20Congestion%20in%20Smart%20Cities.pdf http://eprints.whiterose.ac.uk/140425/1/Centralized%20Simulated%20Annealing%20for%20Alleviating%20Vehicular%20Congestion%20in%20Smart%20Cities.pdf] under the license cc-by-nc-nd

* [https://api.elsevier.com/content/article/PII:S0040162517312052?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0040162517312052?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S0040162517312052?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S0040162517312052?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.techfore.2018.09.013 http://dx.doi.org/10.1016/j.techfore.2018.09.013] under the license http://creativecommons.org/licenses/by-nc-nd/4.0

* [https://www.sciencedirect.com/science/article/pii/S0040162517312052 https://www.sciencedirect.com/science/article/pii/S0040162517312052],
: [http://eprints.whiterose.ac.uk/140425 http://eprints.whiterose.ac.uk/140425],
: [https://ideas.repec.org/a/eee/tefoso/v142y2019icp235-248.html https://ideas.repec.org/a/eee/tefoso/v142y2019icp235-248.html],
: [https://academic.microsoft.com/#/detail/2897091825 https://academic.microsoft.com/#/detail/2897091825] under the license https://www.elsevier.com/tdm/userlicense/1.0/

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Scipediacontent: Scipediacontent moved page Draft Content 257266931 to 238,295fp

Scipediacontent: Created page with " == Abstract == Vehicular traffic congestion is a serious problem arising in many cities around the world, due to the increasing number of vehicles utilizing roads of a limit..."