Title: Evaluation of the tram intelligent system management by an analysis of its key performance indicators for an optimal mixed traffic control in Algeria

Authors: Mouloud Khelf; Salim Boukebbab; Neila Bhouri

Addresses: Laboratory of Transportation Engineering and Environment (LITE), Department of Transport Engineering, University of Constantine 1, Campus Universitaire Zarzara, 25017 Constantine, Algeria ' Department of Transport Engineering, University of Constantine 1, Campus Universitaire Zarzara, 25017 Constantine, Algeria ' Laboratoire Génie des Réseaux de Transport Terrestre et Informatique Avancée, GRETTIA, Université Gustave Eiffel-IFSTTAR, 14-20 Boulevard Newton, Champs-sur-Marne, 77447 Marne-la-Vallée Cedex 2, Bâtiment-Bienvenüe Paris, France

Abstract: Evaluating the tram intelligent system management by analysing its keys' performance indicators is the main target of this paper. A deep analysis of its theoretical and real performance is done, to evaluate the tram's regularity and the actual timetable. The second important objective is to show how the tram's performance can influence the traffic control system. To optimise it, an optimal cycle time applying the 'Webster' method is combined with the optimal tram timetable at the same time. The results indicate that the tram is unwell operated, the offered capacity is higher than the real demand, besides, the theoretical tram performance that is not respected. Therefore, the traffic jam has increased in common intersections. The suggested solutions prove the possibility to reduce the traffic congestion yet well refining the management of the mixed traffic systems, simultaneously, without using extra infrastructures or technologies. All this exhibits the value of this paper.

Keywords: tram intelligent system; key performance indicators; traffic control; timetable; intersections; traffic congestion; Algeria.

DOI: 10.1504/IJSTL.2022.120668

International Journal of Shipping and Transport Logistics, 2022 Vol.14 No.1/2, pp.33 - 55

Received: 04 Mar 2020
Accepted: 31 Jul 2020
Published online: 02 Feb 2022 *

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