Scipediacontent: Scipediacontent moved page Draft Content 883808903 to Hawes et al 2016a

2021-02-02T01:21:19Z

Scipediacontent moved page Draft Content 883808903 to Hawes et al 2016a

Scipediacontent: Created page with " == Abstract == Vehicular traffic congestion is a significant problem that arises in many cities. This is due to the increasing number of vehicles that are driving on city ro..."

2021-02-02T01:21:15Z

Created page with " == Abstract == Vehicular traffic congestion is a significant problem that arises in many cities. This is due to the increasing number of vehicles that are driving on city ro..."

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== Abstract ==

Vehicular traffic congestion is a significant problem that arises in many cities. This is due to the increasing number of vehicles that are driving on city roads of limited capacity. The vehicular congestion significantly impacts travel distance, travel time, fuel consumption and air pollution. Avoidance of traffic congestion and providing drivers with optimal paths are not trivial tasks. The key contribution of this work consists of the developed approach for dynamic calculation of optimal traffic routes. Two attributes (the average travel speed of the traffic and the roads’ length) are utilized by the proposed method to find the optimal paths. The average travel speed values can be obtained from the sensors deployed in smart cities and communicated to vehicles via the Internet of Vehicles and roadside communication units. The performance of the proposed algorithm is compared to three other algorithms: the simulated annealing weighted sum, the simulated annealing technique for order preference by similarity to the ideal solution and the Dijkstra algorithm. The weighted sum and technique for order preference by similarity to the ideal solution methods are used to formulate different attributes in the simulated annealing cost function. According to the Sheffield scenario, simulation results show that the improved simulated annealing technique for order preference by similarity to the ideal solution method improves the traffic performance in the presence of congestion by an overall average of 19.22% in terms of travel time, fuel consumption and CO2 emissions as compared to other algorithms; also, similar performance patterns were achieved for the Birmingham test scenario.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_883808903-beopen3600-1528-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/s16071013 http://dx.doi.org/10.3390/s16071013] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.3390/s16071013 http://dx.doi.org/10.3390/s16071013] under the license https://creativecommons.org/licenses/by/4.0

* [http://eprints.whiterose.ac.uk/101762/1/Enhanced%20Mobility%20in%20Smart%20Cities_sensors-16-01013.pdf http://eprints.whiterose.ac.uk/101762/1/Enhanced%20Mobility%20in%20Smart%20Cities_sensors-16-01013.pdf] under the license https://creativecommons.org/licenses/by/4.0/

* [http://europepmc.org/articles/PMC4970063 http://europepmc.org/articles/PMC4970063] under the license http://creativecommons.org/licenses/by/4.0

* [https://dx.doi.org/10.3390/s16071013 https://dx.doi.org/10.3390/s16071013]

* [https://www.mdpi.com/1424-8220/16/7/1013/pdf https://www.mdpi.com/1424-8220/16/7/1013/pdf]

* [http://www.mdpi.com/1424-8220/16/7/1013 http://www.mdpi.com/1424-8220/16/7/1013],
: [https://doaj.org/toc/1424-8220 https://doaj.org/toc/1424-8220] under the license cc-by

* [http://www.mdpi.com/1424-8220/16/7/1013/pdf http://www.mdpi.com/1424-8220/16/7/1013/pdf],
: [http://dx.doi.org/10.3390/s16071013 http://dx.doi.org/10.3390/s16071013]

* [https://dblp.uni-trier.de/db/journals/sensors/sensors16.html#AmerSHCMM16 https://dblp.uni-trier.de/db/journals/sensors/sensors16.html#AmerSHCMM16],
: [https://www.mdpi.com/1424-8220/16/7/1013/pdf https://www.mdpi.com/1424-8220/16/7/1013/pdf],
: [https://www.mdpi.com/1424-8220/16/7/1013 https://www.mdpi.com/1424-8220/16/7/1013],
: [http://eprints.whiterose.ac.uk/101762 http://eprints.whiterose.ac.uk/101762],
: [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970063 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970063],
: [https://europepmc.org/articles/PMC4970063 https://europepmc.org/articles/PMC4970063],
: [https://core.ac.uk/display/42626351 https://core.ac.uk/display/42626351],
: [http://dx.doi.org/10.3390/s16071013 http://dx.doi.org/10.3390/s16071013],
: [https://dx.doi.org/10.3390/s16071013 https://dx.doi.org/10.3390/s16071013],
: [https://doi.org/10.3390/s16071013 https://doi.org/10.3390/s16071013],
: [http://www.mdpi.com/1424-8220/16/7/1013 http://www.mdpi.com/1424-8220/16/7/1013],
: [https://academic.microsoft.com/#/detail/2467656729 https://academic.microsoft.com/#/detail/2467656729] under the license https://creativecommons.org/licenses/by/4.0/

* [ ]

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Hawes et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 883808903 to Hawes et al 2016a

Scipediacontent: Created page with " == Abstract == Vehicular traffic congestion is a significant problem that arises in many cities. This is due to the increasing number of vehicles that are driving on city ro..."