Transportation Engineering

For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version). The work was carried out with the financial support and within the framework of the international educational project of the European Union TEMPUS EcoBRU «Environmental education for Belarus, Russia and the Ukraine» (543707-TEMPUS-1-2013-1-DE-TEMPUS-JPHES). ABSTRACT In the last decade, the scientific researches focused on improvement of environmental friendliness and based on the principles of sustainable development, has been developed in transport sector, and this is «green» logistics. The article presents an overview of the research in this area using as an example foreign and Russian projects. It is shown that the existing approaches, methods and instruments of «green» logistics are scattered, their use leads to making contradictory decisions that do not contribute to a systematic reduction of the harmful impact of transport on the environment. The authors proposed their approach to systematization of principles and methods of «green» logistics, which will allow creating more balanced programs to improve the environmental friendliness and efficiency of transport systems.

In this paper we study the Multimodal Network Design Problem (MNDP); this problem arises when a decision maker (e.g. traffic authority) can operate on different transportation modes simultaneously. For this problem we formulate a general multimodal network design model from which descend multimodal and monomodal network design submodels. Possible solution approaches and research perspectives are identified. This paper, therefore, provides a general framework on multimodal and monomodal network design problems and their modeling.

Keywords: Multimodal approach, network design problem, elastic demand.

There has been an increasing role played by Global Navigation Satellite Systems (GNSS) in Intelligent Transportation System (ITS) applications in recent decades. In particular, cen-timeter/decimetre positioning accuracy is required for some safety related applications, such as lane control, collision avoidance, and intelligent speed assistance. Lane-level Anomalous driving detection underpins these safety-related ITS applications. The two major issues associated with such detection are (1) accessing high accuracy vehicle positioning and dynamic parameters; and (2) extraction of irregular driving patterns from such information. This paper introduces a new integrated framework for detecting lane-level anomalous driving, by combining Global Positioning Systems (GPS), BeiDou, and Inertial Measurement Unit (IMU) with advanced algorithms. Specifically, we use Unscented Particle Filter (UPF) to perform data fusion with different positioning sources. The detection of different types of Anomalous driving is achieved based on the application of a Fuzzy Inference System (FIS) with a newly introduced velocity-based indicator. The framework proposed in this paper yield significantly improved accuracy in terms of positioning and Anomalous driving detection compared to state-of-the-art, while offering an economically viable solution for performing these tasks.

One of the most important problems occurring while designing public transport vehicles consists in providing an effective control of the door opening systems. The methods of carrying out the investigations presented in the paper include structural and kinematic analysis of the door opening mechanisms and simulation of their operation in applied software. The paper analyses the design and operational peculiarities of the turning-and-shunting mechanism of door opening of electric public transport. The corresponding design of the mechanism is proposed. It is suggested to be driven by pneumatic drive. The simplified diagram of the mechanism is constructed. Structural and kinematic analysis of the mechanism is performed, and the analytical dependencies for describing the motion of its links during the door opening/closing are derived. The main kinematic parameters of the studied mechanism are investigated on the basis of the derived analytical dependencies in MathCAD software, as well as by means of simulating the motion of the solid-state model of the mechanism designed in SolidWorks software. The conclusions about the agreement of the results of theoretical investigations performed on the basis of numerical solving the obtained motion equations and of the virtual experiment (motion simulation in SolidWorks software) are drawn. The analysis of energy efficiency of the investigated turning-and-shunting door opening mechanism of electric public transport is carried out. Prescribing the resistance force acting on the door leaf and calculating the corresponding door motion speed during its closing, the dependency of the nominal power supply of the mechanism drive as a function of corresponding generalized coordinates was deduced. Analyzing the obtained results, the authors have established that the necessary nominal power of the turning-and-shunting mechanism drive is almost twice larger than the necessary nominal power of the widely used leaning-and-shunting mechanism. Further investigations on the subject of the paper can be performed in the direction of developing different control systems providing safe and reliable operation of the considered door opening mechanism driven be electric and pneumatic actuators.

We carried out an international online survey about changes in everyday mobility during the COVID-19 outbreak in 21 languages, collecting more than 11,000 responses from more than 100 countries. In this paper, we present our analysis about commuting travels of the responses between 23 March and 12 May 2020 from the fourteen countries with 100 or more responses, namely Austria, Brazil, Bulgaria, Czechia, Germany, Hungary, Iran, Italy, Japan, Malaysia, Slovakia, Slovenia, Thailand, and the UK. Home office is used typically by between 40% and 60% of working respondents. Among people with workplaces with possibility for home office, the percentage is between 60% and 80%. Among people with workplaces where presence is essential, the percentage does not typically go beyond 30%. This result potentially implies an ultimate magnitude of a strong home office measure. Among those who continued to commute but switched commuting transport modes from public transport to others, the COVID-19 infection risk in public transport is the reason that is most often referred to, but many of those who changed to private cars and to bicycles report reduced travel time, too. Measures to encourage the use of active travel modes where possible are strongly recommended, as this would potentially mitigate undesirable modal shift towards private motorized modes triggered by perception of infection risks while travelling with public transport.

Adaptive traffic control systems (ATCS) continuously adapt to changing traffic in order to improve traffic performance at signalized intersections. Typical before-after studies evaluate the success of ATCS deployments by assessing only the postimplementation traffic performance. Fully assessing the feasibility of ATCS implementation, however, requires evaluating the changes in long-term ATCS performance with changing traffic demands. This paper illustrates the assessment of long-term ATCS performance of two study corridors. The study uses volume=capacity (v=c) ratio to evaluate the effects of changing corridor flow on corridor-wide delay benefits. The results show that the Sydney Coordinated Adaptive Traffic System (SCATS) improves corridor flow and decreases corridor-wide delays up to a point of ineffectiveness, beyond which the ATCS performance begins to decrease. The ineffectiveness point helps in deriving a reasonable estimate for the magnitude and duration of potential ATCS deployment benefits.

The health system should be endowed with adequate
accessibility levels to each functional population cohort it
envisages to serve. In the case we are before higher levels
of elder population, those health necessities increase.
The location of health facilities should have in mind the
demographic structure of each territory. Accordingly, the
increase of elder people turns more needed public health
policies addressed to mitigate social exclusion processes
that can occur. Health public policies and planning practices
should promote accessibility to primary health care
facilities. In such a context, the location of those facilities
and its accessibility have a particular importance. In this
article, we envisage to evaluate the contribution of the
location models to identify the more adequate locations
of the health facilities and to check how the accessibility
levels vary according to the results obtained from those
models.

The demand for energy is increasing tremendously with each passing day. The depletion of the energy resources has necessitated the usage of renewable sources to meet the energy crisis the entire world is facing. The most important of all the renewable sources is wind which can be used as an efficient means for generating electricity by using wind turbines. These turbines are employed for the transformation of mechanical energy to electrical energy, thus making the use of a renewable source rather than relying on conventional sources of energy. The current work discusses the fabrication, erection and installation of a wind turbine on a highway which generates power using the vehicular movement. In this study, traffic survey was conducted at different locations to select the best location to set up the turbine giving due consideration to wind speed, vehicular movement and traffic volume. The fabricated wind turbine was installed at the site chosen based on the traffic studies carried out. The power generated was calculated by noting the current and voltage. The power generated was stored in a 12V, 1.3AH battery. The IoT system was installed with the turbine and sensors to record the voltage, current and any faults in the turbine. A boost converter was used which proved to be an asset in amplifying the voltage.

The reduction of CO2 emissions constitutes one of the largest challenges of the current era. Sustainable transportation, and
especially cycling, can contribute to the mitigation of CO2 emissions since cycling possesses an intrinsic zero-emission value. Few studies have been conducted that appraise the CO2 reduction potential of cycling. Opportunity costs enable the estimation of avoided CO2 emissions resulting from bicycle trips. The methodology developed in this research allows the attribution of a climate value to cycling by substituting bicycle trips with their most likely alternative transportation modes and calculating the resulting additional CO2 emissions. The methodology uses data on the current modal shares of cycling mobility, the competition of cycling with other transportation modes, and CO2 emission factors to calculate the climate value of cycling. When it is assumed that the avoided CO2 emissions of cycling mobility could be traded on financial carbon markets, the climate value of cycling represents a monetary value. Application of the methodology to the case of Bogotá, Colombia — a city with a current bicycle modal share of 3.3% on a total of 10 million daily trips — results in a climate value of cycling of 55,115 tons of CO2 per year, corresponding to an economic value of between 1 and 7 million US dollars when traded on the carbon market.

Between 1990 and 2015, the annual global amount of CO 2 emission generated by transport has increased by 68%, from around 4.6 GtCO 2 to around 7.7 GtCO 2. Technological advances towards eco-friendly vehicles and policy incentives promoting environmental-friendly modes of transport have thus been offset by economic growth and increasing mobility. This study questions the relationship between economic growth and sustainability performance of transport sector. It adds to the literature new insights concerning recent trends in the relationship between gross domestic product and various aspects of transport sustainability such as carbon footprint, carbon intensity and transport safety. A particular attention is given to discussing the emerging issues of "carbon inequality" and the role of political entities that contribute most to global CO 2 emissions, such China, USA and the EU. Finally, this study adds to the literature a composite index of transport sustainability performance and explores between-country inequalities in terms of sustainability performance.

Due to the liberalization of the railway sector, Railway System Operators (RSOs) are involved in the renewal of railway systems in terms of both technological and managing improvements. They are evaluating how new strategies can improve energy efficiency and operating sustainability. This paper proposes the optimal management of a fleet of metro trains in terms of power key performance indicator (KPI). To control the regularity of the railway service assuming a constant Headway value, there were examined how the optimal assignment of the Layover time between the two terminal stops can be managed concerning the maximum power requirements at the Traction Power Substations (TPSs). The numerical application focused on the traction power system of Metro Line 1 of Naples (Italy). The results highlighted the evaluation of the power peaks required to the distribution grid as a function of the Layover time assignment.

Keywords: traction power system, fleet of trains, coordinated motion, layover time, optimal model.