Mathematical modelling of Krasnoyarsk transportation web: preliminary results
Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 11 (2018) no. 4, pp. 438-448.

Voir la notice de l'article provenant de la source Math-Net.Ru

Graph-based model of Krasnoyarsk transportation web is proposed, with high resolution degree. Some preliminary results towards the properties of the web are considered. In particular, it is shown the traffic mapping has unimodal pattern and concentrates around Kommunalny bridge.
Keywords: graph, connectivity, power, bridges, separation.
@article{JSFU_2018_11_4_a4,
     author = {Michael G. Sadovsky and Eugenia B. Bukharova and Alexej V. Tokarev and Oleg E. Yakubailik},
     title = {Mathematical modelling of {Krasnoyarsk} transportation web: preliminary results},
     journal = {\v{Z}urnal Sibirskogo federalʹnogo universiteta. Matematika i fizika},
     pages = {438--448},
     publisher = {mathdoc},
     volume = {11},
     number = {4},
     year = {2018},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/JSFU_2018_11_4_a4/}
}
TY  - JOUR
AU  - Michael G. Sadovsky
AU  - Eugenia B. Bukharova
AU  - Alexej V. Tokarev
AU  - Oleg E. Yakubailik
TI  - Mathematical modelling of Krasnoyarsk transportation web: preliminary results
JO  - Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika
PY  - 2018
SP  - 438
EP  - 448
VL  - 11
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/JSFU_2018_11_4_a4/
LA  - en
ID  - JSFU_2018_11_4_a4
ER  - 
%0 Journal Article
%A Michael G. Sadovsky
%A Eugenia B. Bukharova
%A Alexej V. Tokarev
%A Oleg E. Yakubailik
%T Mathematical modelling of Krasnoyarsk transportation web: preliminary results
%J Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika
%D 2018
%P 438-448
%V 11
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/JSFU_2018_11_4_a4/
%G en
%F JSFU_2018_11_4_a4
Michael G. Sadovsky; Eugenia B. Bukharova; Alexej V. Tokarev; Oleg E. Yakubailik. Mathematical modelling of Krasnoyarsk transportation web: preliminary results. Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 11 (2018) no. 4, pp. 438-448. http://geodesic.mathdoc.fr/item/JSFU_2018_11_4_a4/

[1] Luo Qingyu, Juan Zhicai, Sun Baofeng, Jia Hongfei, “Method Research on Measuring the External Costs of Urban Traffic Congestion”, J. Transpn. Sys. Eng. $\$ IT, 7:5 (2007), 9–12

[2] H.-C. Chin, S.-T. Quek, “Measurement of traffic conflicts”, Safety Science, 26:3 (1997), 169–185 | DOI

[3] Y. Kamarianakis, H.O. Gao, “Poulicos Prastacos, Characterizing regimes in daily cycles of urban traffic using smooth-transition regressions”, Transportation Research C, 18 (2010), 821–840 | DOI

[4] C.F. Daganzo, N. Geroliminis, “An analytical approximation for the macroscopic fundamental diagram of urban traffic”, Transportation Research B, 42 (2008), 771–781 | DOI

[5] H. Xiaowen, Y. Dongyuan, “Estimation of Traffic Density on Urban Freeways”, J. Transpn. Sys. Eng. $\$ IT, 8:3 (2008), 79–82

[6] W. Guan, S. He, “Statistical features of traffic flow on urban freeways”, Physica A, 387 (2008), 944–954 | DOI

[7] L. Zhiheng, Y. Shengchao, T. Ye, L. Li, Z. Zhiqiang, J. Yan, “Urban Traffic Flow Volume Modeling for Beijing Using a Mixed-Flow Model”, J. Transpn. Sys. Eng. $\$ IT, 8:3 (2008), 111–114

[8] J.J. Wu, H.J. Sun, Z.Y. Gao, “Dynamic urban traffic flow behavior on scale-free networks”, Physica A, 387 (2008), 653–660 | DOI

[9] Z. Wei, X. Jianmin, W. Haifeng, “Urban Traffic Situation Calculation Methods Based on Probe Vehicle Data”, J. Transpn. Sys. Eng. $\$ IT, 7:1 (2007), 43–49

[10] M. Esteve, C.E. Palau, J. Martínez-Nohales, B. Molina, “A video streaming application for urban traffic management”, J. of Network and Computer Applications, 30 (2007), 479–498 | DOI

[11] F. Boillot, S. Midenet, J.-C. Pierrelée, “The real-time urban traffic control system CRONOS: Algorithm and experiments”, Transportation Research C, 14 (2006), 18–38 | DOI

[12] S. Feng, H. Enhou, C. Qun, W. Yingzi, “Optimization of One-Way Traffic Organization for Urban Microcirculation Transportation Network”, J. Transpn. Sys. Eng. $\$ IT, 9:4 (2009), 30–35

[13] M. Zhong, P. Lingras, “Satish Sharma Estimation of missing traffic counts using factor, genetic, neural, and regression techniques”, Transportation Research C, 12 (2004), 139–166 | DOI

[14] Do H. Nama, D.R. Drew, “Automatic measurement of traffic variables for intelligent transportation systems applications”, Transportation Research B, 33 (1999), 437–457 | DOI

[15] A. Stathopoulos, M.G. Karlaftis, “A multivariate state space approach for urban traffic flow modeling and prediction”, Transportation Research C, 11 (2003), 121–135 | DOI

[16] C. Hofer, G. Jäger, M. Füllsack, “Generating Realistic Road Usage Information and Origin-Destination Data for Traffic Simulations: Augmenting Agent-Based Models with Network Techniques”, Complex Networks $\$ Their Applications VI, COMPLEX NETWORKS 2017, Studies in Computational Intelligence, 689, eds. Cherifi C., Cherifi H., Karsai M., Musolesi M., 2018, 1223–1233

[17] B. De Coensel, T. De Muer, I. Yperman, D. Botteldooren, “The influence of traffic flow dynamics on urban soundscapes”, Applied Acoustics, 66 (2005), 175–194 | DOI

[18] A. Patra, R. Colvile, S. Arnold, E. Bowen, D. Shallcross, D. Martin, C. Price, J. Tate, H. ApSimon, A. Robins, “On street observations of particulate matter movement and dispersion due to traffic on an urban road”, Atmospheric Environment, 42 (2008), 3911–3926 | DOI

[19] H. Badland, G. Schofield, “Transport, urban design, and physical activity: an evidence-based update”, Transportation Research D, 10 (2005), 177–196 | DOI