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ScienceDirect
Available online at 
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Transportation Research Procedia 36 (2018) 446–452
2352-1465  2018 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (
https://creativecommons.org/licenses/by-nc-nd/4.0/
)
Peer-review under responsibility of the scientific committee of the Thirteenth International Conference on Organization and Traffic Safety 
Management in Large Cities (SPbOTSIC 2018).
10.1016/j.trpro.2018.12.121
www.elsevier.com/locate/procedia
10.1016/j.trpro.2018.12.121
2352-1465
© 2018 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (
https://creativecommons.org/licenses/by-nc-nd/4.0/
)
Peer-review under responsibility of the scientific committee of the Thirteenth International Conference on Organization and 
Traffic Safety Management in Large Cities (SPbOTSIC 2018).
 
Available online at 
www.sciencedirect.com
ScienceDirect
Transportation Research Procedia 00 (2018) 000–000 
 
www.elsevier.com/locate/procedia 
 
2352-1465 © 2018 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (
https://creativecommons.org/licenses/by-nc-nd/4.0/
) 
Peer-review under responsibility of the scientific committee of the Thirteenth International Conference on Organization and Traffic Safety 
Management in Large Cities (SPbOTSIC 2018).
Thirteenth International Conference on Organization and Traffic Safety Management in
Large Cities (SPbOTSIC 2018)
Improving the system of traffic management at crossings 
Denis Lomakin, Evgenii Fabrichnyi, Alexander Novikov* 
Orel State University named after I.S. Turgenev, 95 Komsomolskaya St., Orel, 302026, Russia 
Abstract 
Among the tasks for traffic arrangement, planning and management one of the most urgent tasks is the problem of assessing the 
influence of various factors on the feature to be studied. The paper analyzes the factors influencing the traffic flow, and 
information cycle between the strategic, planned and operational level of traffic management. The approach to the solution of the 
problem proposed in the paper using the correlation-regression analysis method combined with the use of geoinformation 
databases allows to determine a queue size at the crossings of the city street-and-road network (SRN) with its subsequent 
application in the operational management of the city traffic. 
© 2018 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (
https://creativecommons.org/licenses/by-nc-nd/4.0/
) 
Peer-review under responsibility of the scientific committee of the Thirteenth International Conference on Organization and 
Traffic Safety Management in Large Cities (SPbOTSIC 2018). 
Keywords: traffic management; assessment of crossings queue size.