Smart technology implementation for road traffic management

Natalia Zhuravleva; Elena Volkova; Daniil Solovyev

doi:10.1051/e3sconf/202022001063

All issues

Volume 220 (2020)

E3S Web Conf., 220 (2020) 01063

References

Open Access

Issue		E3S Web Conf. Volume 220, 2020 Sustainable Energy Systems: Innovative Perspectives (SES-2020)


Article Number		01063
Number of page(s)		5
DOI		https://doi.org/10.1051/e3sconf/202022001063
Published online		16 December 2020

S. Samadi, A.P. Rad, F.M. Kazemi, H. Jafarian, Journal of Transportation Technologies 2 (2012) [CrossRef] [Google Scholar]
B.M. Lapidus, L.V. Lapidus, The Railway Economics magazine 10 (2016) [Google Scholar]
S. Hanson, G. Giuliano (ed.), The geography of urban transportation, Guilford Press (2017) [Google Scholar]
S. Behrendsa, Transportation Research Procedia 12 (2016) [Google Scholar]
R. Bozzo, A. Conca, F. Marangon, Transportation Research Procedia 3 (2014) [CrossRef] [Google Scholar]
H.L. Lee, Urbanisation proceeding on unprecedented scale, World Cities Summit, Marina Bay Sands, Singapore (2014) [Google Scholar]
S. Pelletier, O. Jabali, G. Laporte, Goods distribution with electric vehicles: Review and research perspectives, Montrál, Canada, 2014: Technical Report CIRRELT-2014-44, CIRRELT (2014) [Google Scholar]
J. Barceló, Fundamentals of traffic simulation (New York, Springer, 2010) [CrossRef] [Google Scholar]
E. Taniguchi, R.G. Thompson, T. Yamada, Procedia-Social and Behavioral Sciences 125 (2014) [Google Scholar]
F.A. Al-Nasser, H. Rowaihy, IEEE Symposium on Computers & Informatics (2011) [Google Scholar]
K.M. Yousef, M.N. Al-Karaki, A.M. Shatnawi, J. Inf. Sci. Eng. 26, 3 (2010) [Google Scholar]
Pittsburgh cuts travel time by 25% with smart traffic lights [Electronic resource], Apolitical (14 August 2017) Available at: https://apolitical.co/en/solution_article/pittsburghcuts-travel-time-25-smart-traffic-lights [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

[1] S. Samadi, A.P. Rad, F.M. Kazemi, H. Jafarian, Journal of Transportation Technologies 2 (2012) [CrossRef] [Google Scholar]

[2] B.M. Lapidus, L.V. Lapidus, The Railway Economics magazine 10 (2016) [Google Scholar]

[3] S. Hanson, G. Giuliano (ed.), The geography of urban transportation, Guilford Press (2017) [Google Scholar]

[4] S. Behrendsa, Transportation Research Procedia 12 (2016) [Google Scholar]

[5] R. Bozzo, A. Conca, F. Marangon, Transportation Research Procedia 3 (2014) [CrossRef] [Google Scholar]

[6] H.L. Lee, Urbanisation proceeding on unprecedented scale, World Cities Summit, Marina Bay Sands, Singapore (2014) [Google Scholar]

[7] S. Pelletier, O. Jabali, G. Laporte, Goods distribution with electric vehicles: Review and research perspectives, Montrál, Canada, 2014: Technical Report CIRRELT-2014-44, CIRRELT (2014) [Google Scholar]

[8] J. Barceló, Fundamentals of traffic simulation (New York, Springer, 2010) [CrossRef] [Google Scholar]

[9] E. Taniguchi, R.G. Thompson, T. Yamada, Procedia-Social and Behavioral Sciences 125 (2014) [Google Scholar]

[10] F.A. Al-Nasser, H. Rowaihy, IEEE Symposium on Computers & Informatics (2011) [Google Scholar]

[11] K.M. Yousef, M.N. Al-Karaki, A.M. Shatnawi, J. Inf. Sci. Eng. 26, 3 (2010) [Google Scholar]

[12] Pittsburgh cuts travel time by 25% with smart traffic lights [Electronic resource], Apolitical (14 August 2017) Available at: https://apolitical.co/en/solution_article/pittsburghcuts-travel-time-25-smart-traffic-lights [Google Scholar]