2014, VOLUME 15 #1. "TRANSPORT AND TELECOMMUNICATION". ЖУРНАЛ ИЗДАТЕЛЬСТВА TSI, ISSN 1407-6160, ISSN 1407-6179 | TSI

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2014, VOLUME 15 #1. "TRANSPORT AND TELECOMMUNICATION". ЖУРНАЛ ИЗДАТЕЛЬСТВА TSI, ISSN 1407-6160, ISSN 1407-6179

A DYNAMIC TRAFFIC LIGHT MANAGEMENT SYSTEM BASED ON WIRELESS SENSOR NETWORKS FOR THE REDUCTION OF THE RED-LIGHT RUNNING PHENOMENON 

Mario Collotta1, Giovanni Pau2, Gianfranco Scatà3, Tiziana Campisi4

Faculty of Engineering and Architecture
Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy
E-mails: 1mario.collotta@unikore.it; 2giovanni.pau@unikore.it;3gianfranco.scata@unikore.it;
4tiziana.campisi@unikore.it

The real-time knowledge of information concerning traffic light junctions represents a valid solution to congestion
problems with the main aim to reduce, as much as possible, accidents. The Red Light Running (RLR) is a behavioural phenomenon
that occurs when the driver must to choose to cross (or not) the road when the traffic light changes from green to yellow. Most of
the time the drivers cross even during transitions from yellow to red and, as a consequence, the possibility of accidents increases.
This often occurs because the drivers wait too much in the traffic light queue as a consequence of the fact that the traffic light is not
well balanced. In this paper we propose a technique that, based on information gathered through a wireless sensor network,
dynamically processes green times in a traffic light of an isolated intersection. The main aim is to optimise the waiting time in
the queue and, as a consequence, reduce the RLR phenomenon occurrence.
Keywords: Wireless Sensor Networks; RLR; Traffic Lights; Real-time; Intelligent Transportation Systems

TOWARDS AUTOMATED ROAD INFORMATION FRAMEWORK A CASE STUDY OF TANZANIA 

Angela-Aida K. Runyoro1*, Irina Zlotnikova1 and Jesuk Ko2

1School of Computational and Communications Science and Engineering, Nelson Mandela
African Institute of Science and Technology, P.O. Box 447, Arusha, Tanzania
(Ph.: +255-754-985-989. E-mail: runyoroa@nm-aist.ac.tz) * Corresponding author
2Department of Healthcare Management, Gwangju University, Gwangju 503–703, Korea

Traffic congestion problem has been noticed to have a serious impact on the economy of the country in terms of time
wastage, energy consumption costs, human loss and environmental effects. Different strategies have been used so far all over the
world as shown in the literature review. Intelligent Transportation System (ITS) is a multi-technology approach that can help to
handle the issues and create a complete congestion reduction framework. This paper presents a case study for implementing
automated road management system using networks in Tanzania, where three cities highly affected by traffic congestion have been
studied. Study results show that these cities have not yet implemented new technologies in road traffic management; instead the
traffic is controlled using traffic police officers and traffic lights only. The traffic lights use an old technology that cannot manage
traffic in relation to the real-time situations. This study proposes components for a framework, which will assist automation in road
traffic management. From the review of various existing ITS of which Advanced Traffic Management System (ATMS) and
Advanced Travel Information System (ATIS) are subsystems, we have identified the possibility to integrate the two sub-systems
within the framework. Three-phase traffic theory has been referred, FOTO and ASDA models are applied to the automatic
recognition and tracking of congested spatiotemporal traffic patterns on roads.
Keywords: Traffic Congestion, Urban Transportation, Intelligent Transportation Systems (ITS)

SPATIAL ASPECTS OF EUROPEAN AIRPORTS’ PARTIAL FACTOR PRODUCTIVITY 

Dmitry Pavlyuk

Transport and Telecommunication Institute
Lomonosova 1, Riga, LV-1019, Latvia
Ph.: (+371) 29958338. E-mail: Dmitry.Pavlyuk@tsi.lv

This research is devoted to discovering of spatial effects in European airports’ partial factor productivity (PFP). A set of
study PFP indicators includes infrastructural (air transport movements per runway), labour (workload units per employee), and
financial (revenue and profit per workload unit) ratios. We utilised a number of appropriate statistical tests (Moran’s I., Geary’s C.,
Mantel test, and spatial auto-regression) for revelation of spatial relationships between PFP indicator’s values. The tests were
separately applied to samples of Spanish (2009–2010) and UK airports (2011–2012) and provided evidences of significant spatial
effects in data.
Keywords: airport, partial factor productivity, spatial heterogeneity, spatial dependency, spatial statistics.

PATTERN-ORIENTED ARCHITECTURE DESIGN OF SOFTWARE FOR LOGISTICS AND TRANSPORT APPLICATIONS 

Sergey Orlov, Andrei Vishnyakov

Transport and Telecommunication Institute
Lomonosova str.1, Riga, LV-1019, Latvia
E-mail: Orlovs.S@tsi.lv, andrei.vishnyakov@gmail.com

Software architecture design plays the key role for logistics and transport software engineering. One of the design
approaches is to reuse the architectural patterns, which express a fundamental structural organization of software systems and its
behaviour. The usage of the proven and tested solutions allows us to increase the software quality and reduce potential risks.
In this paper the technique that allows selecting and evaluating suite of architectural patterns is proposed. It can be used for
logistics and transportation software, which is constructed using Multi-tier architecture. The technique allows us to consistently
evaluate the impact of specific patterns to software characteristics with a given functionality. Effectiveness and efficiency of
the described method is confirmed by a case study.
Keywords: multi-tier architecture, pattern, functional points, coupling and cohesion, logistics and transport software, optimisation, decision

A SELF-POWERED WIRELESS SENSOR NETWORK FOR DYNAMIC MANAGEMENT OF QUEUES AT TRAFFIC LIGHTS 

Mario Collotta1, Mario Denaro2, Gianfranco Scatà3, Antonio Messineo4, Giuseppina Nicolosi5

Faculty of Engineering and Architecture
Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy
E-mails: 1mario.collotta@unikore.it; 2mario.denaro@unikore.it; 3gianfranco.scata@unikore.it;
4antonio.messineo@unikore.it; 5giuseppina.nicolosi@unikore.it

The dynamic management of traffic light cycles is a really interesting research issue considering modern technologies,
which can be used in order to optimise road junctions and then improve living conditions of the roads. Wireless sensor networks
represent the most suitable technology, as they are easy to deploy and manage. The data relating to road traffic flows can be detected
by the sensor network and then processed through the innovative approach, proposed in this work, in order to determine the right
green times at traffic lights. Although wireless sensor networks are characterized by very low consumption devices, the continuous
information transmission reduces the life cycle of the whole network. To this end, the proposed architecture provides a technique to
power the sensor nodes based on piezoelectric materials, which allow producing potential energy taking advantage of the vibration
produced by the passage of vehicles on the road.
Keywords: Wireless Sensor Networks; Piezoelectric; Traffic Lights; Intelligent Transportation Systems.

USING BEES ALGORITHMS FOR SOLUTION OF RADAR PAVEMENT MONITORING INVERSE PROBLEM 

Alexander Krainyukov, Valery Kutev, Elena Andreeva

Transport and Telecommunications Institute
Lomonosova iela 1, Riga, LV-1019, Latvia
Ph.:+(371) 67100634. Fax: +(371) 67100660
E-mail: Krainukovs.A@tsi.lv, Kutevs.V@tsi.lv, jelenka.andrejeva@gmail.com

This work has focused on using of Bee Algorithm and Artificial Bee Colony algorithm for solution the inverse problem of
subsurface radar probing in frequency domain. Bees Algorithms are used to minimize the aim function. Tree models of road
constructions and their characteristics have been used for solution of the subsurface radar probing inverse problem. There has been
investigated the convergence of BA and ABC algorithms at minimisation of the aim function of the inverse problem of radar
subsurface probing of roadway structures. There has been investigated the impact of free arguments of BA and ABC algorithm,
width of the frequency range and width of the searching interval on the error of reconstruction of electro-physical characteristics of
layers and duration of algorithm operating. There has been investigated the impact of electro-physical characteristics of roadway
structure layers and width of the frequency range on aim function of radar pavement monitoring inverse problem.
Keywords: radar monitoring, inverse problem, electro-physical parameters, Bee Algorithm, Artificial Bee Colony
algorithm.

WIRELESS ENERGY SUPPLY TO PUBLIC TRANSPORT UNITS WITH HYBRID DRIVE – TRENDS AND CHALLENGES 

Igors Graurs1, Aleksandrs Vizulis2, Aivars Rubenis3, Aigars Laizāns4

1LEO Research Centre, Riga, Latvia
Transport and Telecommunication Institute, Riga, Latvia
E-mail: Graurs.I@tsi.lv
2LEO Research Centre, Riga, Latvia
Kavitus, SIA, Jelgava, Latvia
E-mail: a_vizulis@yahoo.com
3LEO Research Centre, Riga, Latvia,
RS Factor, Riga, Latvia
E-mail: aivars.rubenis@ivorygroup.eu
4LEO Research Centre, Riga, Latvia,
Latvia University of Agriculture, Jelgava, Latvia
E-mail: aigars.laizans@llu.lv

This paper describes the initial findings of research project “The Possibilities of Increasing Efficiency of City Bus Hybrid
Propulsion Systems by Including Wireless Battery Charging” carried out by „LEO Research Centre” (Competency Centre for
Latvian Electrical and Optical Manufacturing Industry).
The project is aimed at developing wireless charging and optimising electric bus propulsion system for modern urban
transportation applications. The project runs from the beginning of the 2013 until the end of 2015 and focuses on the sub-theme
“Energy and Sustainable Transport”.
Keywords: public transport; transport units with hybrid drive; conductive energy transfer; wireless energy transfer

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