iMLTrans 2020 Abstracts

Area 1 - Intelligent Mobility, Logistics and Transport
Full Papers Short Papers

Area 1 - Intelligent Mobility, Logistics and Transport

Full Papers
Paper Nr: 2
Title:

Legal Regulation Problems by using Highly Automated Vehicles
Authors:

R. R. Magizov, L. M. Gabsalikhova, T. A. Nikolaev and V. G. Mavrin
Abstract: The application of new technologies in the design of modern cars has gradually led to the automation of various control processes. Today, the legal systems of different countries are faced with the problem of regulating the use of highly automated road transport. Such a vehicle may fulfill part of the functions of the driver or even, potentially, replace it completely. Different approaches to the problem of regulation give rise to different solutions. The presented article is devoted to the problems of legal regulation of the operation of highly automated cars. The problems of terminology are touched on, approaches to legal regulation in this area in different states are described. It is concluded that currently in Russia the legal basis for the use of unmanned vehicles has not yet been fully formed and there are a number of issues that need to be regulated. Based on the study, the author formulates proposals for amendments and additions to the legislation of the Russian Federation related to the operation of highly automated cars.
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Paper Nr: 3
Title:

Responsibility for Causing Harm as a Result of a Road Accident Involving a Highly Automated Vehicle
Authors:

R. R. Magizov, E. M. Mukhametdinov and V. G. Mavrin
Abstract: The development and implementation of highly automated transport (unmanned vehicles) is accompanied by a number of problems, including problems related to liability for accidents and causing harm involving unmanned vehicles. The indicated problem faces the legislators and the public of all countries where highly automated transport is produced, tested and introduced. A number of countries have already made an attempt to legislatively regulate issues related to the production of highly automated and unmanned vehicles, their operation and liability for damage. In the presented article, an analysis of the current legislation of the regulatory framework and the conditions for prosecution for damage caused by a highly automated vehicle as a result of a traffic accident, as well as an analysis of the positions of the authors on the topic under study, is carried out. Based on the study, the author formulates proposals on the need for amendments and additions to the current legislation of the Russian Federation related to fixing the grounds and conditions for holding liable, as well as determining the range of subjects to be liable for damage caused by a highly automated vehicle.
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Paper Nr: 4
Title:

Association Rules to Identify Factors Affecting Risk and Severity of Road Accidents
Authors:

Irina Makarova, Gulnara Yakupova, Polina Buyvol, Eduard Mukhametdinov and Anton Pashkevich
Abstract: The current increase in automobilization leads to a decrease in road safety. Therefore, the purpose of this research is to analyze and identify the causes that significantly affect the risk and severity of accidents. For this purpose, both histograms plotting and association rules were used. The statistics of traffic accidents in Elabuga town for 2017-2018 were taken as initial information. To identify the most traumatic types of traffic accidents, graphs of the number of accidents by types of accidents and the number of victims for 2017-2018 were constructed. It was found that the greatest number of injured (wounded or dead) is observed in collisions and hitting a pedestrian. Then, road sections of the concentration of accidents were analyzed, the most common types of accidents and the main violations of traffic rules that contribute to the occurrence of accidents were determined. To identify hidden relationships between factors and accidents with severe consequences, association rules were applied. As a result, the influence of weather conditions, quality of road infrastructure and marking was established.
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Paper Nr: 5
Title:

Changing the Maintenance and Repair System While Expanding the Connected Vehicles Fleet
Authors:

Irina Makarova, Vladimir Shepelev, Eduard Mukhametdinov and Anton Pashkevich
Abstract: Autonomous vehicles have become a logical outcome of the realization to Intelligent Transport Systems direction as a system strategy. The article analyses the directions of road vehicles intellectualization. The problems and ways to improve the safety, reliability and sustainability of transport systems are indicated. It is shown that to control the connected vehicles reliability it is necessary to improve the branded systems of maintenance and repair. This is realized through the improvement of on-board diagnostic systems. The use of sensors that read data on the vehicle's state, its routes and external factors affecting reliability ensure the adequacy and quality of the source information. Using a single information space for generating operational databases as well as a defect codifier for generating failure statistics and their multidimensional analysis will allow us to determine the service strategy and also carry out its adjustment if necessary when changing the failure statistics.
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Paper Nr: 6
Title:

Improving the Road Network of Small Cities
Authors:

Vadim Mavrin, Kirill Magdin, Aleksandr Barinov, Aleksey Boyko and Artur Cherpakov
Abstract: The transport system is an important part in human activity and is an integral part of the successful functioning of an urbanized territory. The historical relationship between the size of the city and the development of urban transport is traced very well. With the growth of the city's population and its territory, there is an increase in vehicles and traffic volume. The mobility of the population is increasing (the average number of transport trips per resident per year), while the travel distance is also increasing. This requires the appropriate development of transport, increasing traffic speed, and increasing the capacity of the road network. The article is devoted to environmental problems of motor transport in small cities, where it is impossible to apply large and expensive solutions. Two problematic intersections in similar cities were considered in Apatity and Elabuga and measures for the reconstruction of these sections were proposed (applying adequate road markings and changing traffic lights modes). Performing a computer experiment on constructed simulation models showed that there is a significant potential for improving the parameters of traffic flow in these areas and reducing the negative impact on the environment.
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Paper Nr: 7
Title:

Connected Vehicles Fleet Expanding Problems
Authors:

Larisa Gabsalikhova, Irina Makarova, Vladimir Shepelev, Larisa Fatikhova and Eduard Belyaev
Abstract: The transport systems intellectualization directions analysed in article. The digital technology introduction occurs at all stages of the vehicle life cycle: product development, preparation and production launch, product manufacture, its operation and maintenance. The autonomous vehicles fleet expanding problems are indicated. The intelligent vehicles development and the varying degrees of intellectualization vehicles fleet expansion is accompanied by a number of problems, including those related to the influence of social factors on the transition to fully autonomous vehicles. Consumers are still worried about the consequences of introducing such vehicles, which is related to the security problems. The risk assessment of connected vehicles introduction to the market has been performed. The article concludes with an analysis of connected vehicles ensuring the reliability technical problems.
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Short Papers
Paper Nr: 1
Title:

A Study of the Travel Time of Intersections by Vehicles using Computer Vision
Authors:

V. D. Shepelev, A. I. Glushkov, Z. V. Almetova and V. G. Mavrin
Abstract: The article deals with the problem of intelligent traffic control at intersections of road networks of large cities. Due to the advances in cyber-physical systems (CPS), autonomous driving, as part of Intelligent Transport Systems (ITS), will obviously be in the centre of future urban transport. However, the existing ITSs do not fully take into account the size, structure, and parameters of the queue of vehicles waiting at inter-sections, which in turn affects the traffic capacity of the intersection. In the study, we used computer vision to interpret a queue of vehicles and record the parameters at the intersection on a real time basis. We studied the mutual impact of two generalized categories of transport standing in the queue before the stop line at the intersection. We developed a general conceptual research model, which includes both the task of forming the original sample and statistical analysis of the time needed to cross an intersection by the vehicles located in different initial positions. The main research results showed a statistically significant reduction in the vehicle speed to 58% in case there are various categories of vehicles standing in the queue at the intersection.
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Paper Nr: 8
Title:

Dynamic Prices in Retail and Its Impacts on Logistics
Authors:

Onur Guvenc, Aiman Kazybayeva and Kuanysh Abeshev
Abstract: Various factors have contributed to the immense growth of dynamic pricing: demand data, technology, and decision support tools. A sample survey was conducted to get the perspectives of small business owners in retail and consumers to understand their perspective on dynamic consumer pricing and its effects on logistics. The survey questions were structured in a way to provide perspectives on consumer experience and buying behaviour concerning dynamic pricing and gamification. The study realized retail companies are not well prepared for the logistical changes due to dynamic pricing. Traditionally, retail stores have focused on ensuring that the supply chain is responsive to client demands. For instance, leftover inventory was seen as a problem arising from poor decisions on dynamic pricing. After a promotional selling season, many of the retail respondents indicated that they face problems of when and how much to mark down leftover inventory.
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Paper Nr: 9
Title:

Using Simulation to Evaluate Shuttle Service Efficiency
Authors:

Kuanysh Abeshev, Polina Buyvol, Ksenia Shubenkova and Timur Gabdullin
Abstract: The work is devoted to the study of the influence of the Smart City concept on the city transport system. It is shown that in cities where industrial zones are separated from residential ones, there are problems with increasing transport load in the morning and evening peak hours. Various methods (special routes, special tariffs, etc.) are used to solve the problem of delivering workers to places of work, but, in our opinion, these solutions should be combined with the concept of E-mobility, which implies both a transition to environmentally friendly types of transport, and an increase in the stability of the transport system by reducing the intensity of the traffic flow. This can be done through the organization of shuttle service of enterprises' employees, which will allow to refuse using of personal cars for trips to work. An example of the solution of the transport routing problem for the Naberezhnye Chelny city is given.
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Paper Nr: 10
Title:

Ways to Improve the Efficiency of the Truck's Branded Service System
Authors:

K. Shubenkova, P. Buyvol, I. Makarova and L. Gabsalikhova
Abstract: The article discusses ways to improve the trucks maintenance efficiency. It is shown that only integrated solutions will optimize the activities of the automotive corporation's branded service system (BSS). The best solution in this situation is a decision support system (DSS) with an open architecture. The proposed methodology is aimed at improving the maintenance and repair system while expanding markets. Examples of developed modules applying as part of DSS, such as statistical data analysis and simulation models, are shown.
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Paper Nr: 11
Title:

Investigating the Influence of Emotional Intelligence on the Supplier Selection Decisions with Fuzzy Cognitive Maps
Authors:

Maria Drakaki, Panagiotis Tzionas and Kuanysh Abeshev
Abstract: Supplier selection holds a strategic role in supply chain management. Multi-criteria decision making methods combined with fuzzy and intelligent approaches have been primarily used to solve supplier selection problems considering sustainability and risk factors. Yet sustainability criteria as well as risk factors proposed in the literature vary, as well as the assigned weight values that measure the relative importance of the various criteria and risks. Moreover, human decisions involve emotions. Therefore, it would be useful to identify potential causal relationships between criteria and risk factors and emotional intelligence of decision makers, in order to identify potential biases in the decision making process. In particular, trust and relationship building with the suppliers may affect the emotional intelligence of decision makers. For this purpose, in this paper a methodology which uses Fuzzy Cognitive Maps is presented, in order to investigate by simulation, different scenarios that could identify the influence of emotional intelligence of the decision makers regarding the supplier selection problem.
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