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Stochastic Models of Traffic Flow Balancing and Management of Urban Transport Networks

Authors:
Sergey Lesko
Dmitrii Zhukov
Anton Alyoshkin

Keywords: transport network; stochastic dynamics of transport network nodes blocking; traffic flow balancing; traffic flows management algorithms

Abstract:
In this paper, we developed models and algorithms for managing stochastic flows with indeterminate characteristics of distributing static parameters in urban transport networks. The proposed models describe the dependence of the single nodes blocking probability on the urban traffic parameters changing over time. In addition, we have modeled a city transport network and traffic flow with the traffic lights switching time regulated according to the proposed model and with rigidly set switching regimes (a ‘conventional traffic’ mode). The conducted research of the line-up lengths appearing at the traffic lights exhibits a double reduction of the traffic jams when using the elaborated model of the ‘regulated’ traffic lights in comparison with a conventional model of traffic management.

Pages: 126 to 130

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-505-0

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016