Title: Traffic impact analysis on Paris and suburbs ways using BFSIS model

Authors: Milka Uzunova; Rositsa Velichkova; Roman Potarusov; Moumen A. Darcherif

Addresses: Graduate Engineering School of Electricity, Production, Industrial Engineering and Management, Cergy-Pontoise, France ' Technical University of Sofia, Hydroaerodynamics and Hydraulic Machines, Bulgaria ' IFSTTAR/COSYS/GRETTIA, 77447 Marne-La-Vallée, France ' Graduate Engineering School of Electricity, Production, Industrial Engineering and Management, Cergy-Pontoise, France

Abstract: In current paper are presented an original approach which is deal with the analysis of the traffic flow density and the travel time as additional indicators using a new extension of the well-known breadth-first search (BFS) algorithm. The average road grade and the average legal speed on the road as well as weather conditions are taken into account. Addition to these indicators, this paper is focused on the road traffic measurement as a supplementary parameter required when calculating the electric vehicle energy consumption.

Keywords: traffic impact; traffic estimation; energy consumption prediction; electric vehicle; Paris.

DOI: 10.1504/IJAL.2017.084299

International Journal of Automation and Logistics, 2017 Vol.3 No.1, pp.17 - 32

Received: 09 Sep 2016
Accepted: 08 Feb 2017
Published online: 24 May 2017 *

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