In the context of the transition to human-centric production systems and the high variability of truck configurations, the problem of ensuring the ergonomics and manufacturability of assembly processes during the production preparation phase is critical. This article analyzes the application of Virtual Reality (VR) technologies for designing and optimizing truck assembly processes. Key problems are considered, including the complexity of mixed-model balancing, the assembly of large-sized units, and the high load involved in mounting cable harnesses. The authors analyze modern approaches, demonstrating how VR simulation combined with digital human modeling allows for the identification of design errors, conducting ergonomic assessments of working postures (using RULA, NIOSH methods), and staff training. A prototype solution is presented, developed on the basis of the Unreal Engine 5 (UE5) game engine using an HTC Vive Pro 2 headset, for the realistic simulation of the cooling unit installation operation onto the frame. It is shown that the implementation of VR technologies can significantly reduce costs, improve quality, and reduce the risk of injury by optimizing workplaces and technological routes even before the start of mass production.

Despite the efforts of scientists and practitioners, pedestrian safety remains one of the world's most acute problems. According to research by scientists and road safety experts, people (both drivers and pedestrians) often create road hazards. Therefore, it is essential to reduce the impact of human error. To this end, increasingly intelligent vehicles and road infrastructure are being created, along with passive safety measures for pedestrians. Furthermore, intelligent systems are being developed to alert pedestrians, monitor their attention, and analyze pedestrian flows, all of which can warn drivers of dangerous behavior and the risk of accidents. Experience shows that only comprehensive solutions can address strategic challenges, including road safety improvement. We propose an upgrade to the pedestrian push-button traffic light, making it “smarter” through dynamic traffic light phase control based on real-time road conditions. This is enabled by a pedestrian classification system we developed, which categorizes individuals based on characteristics such as age, behavior patterns, and mitigating factors. We believe that a smart traffic light system tailored to pedestrian flow patterns will enhance pedestrian safety and optimize traffic flow parameters.

This article explores the potential for addressing issues related to improving the sustainability and safety of a city's transportation system. The study demonstrates the need for a comprehensive approach that considers not only the direct but also the indirect effects of potential solutions, selecting those that enhance the overall sustainability and safety of the system. The article presents a conceptual model of such a system and illustrates implementation methods using a large city as an example. Furthermore, it demonstrates how simulation modeling can address urban transportation network issues and quantifies the impact of implementing the proposed solutions.

This article investigates methods for optimizing traffic light control parameters with the aim of improving urban traffic efficiency. Modern approaches to ensuring the sustainability of urban transport systems are discussed. The study concludes that simulation modeling serves as a leading methodology for analyzing transportation systems and identifying optimal solutions to diverse challenges, which ultimately enhances traffic flow characteristics and increases the resilience of the transport network. An optimized simulation model of a major city intersection has been developed, an optimization experiment carried out, and optimal values for traffic light signal phases have been determined.

The article addresses issues concerning the improvement of urban transport infrastructure with the aim of enhancing its efficiency and environmental sustainability. It highlights that simulation modeling techniques have considerable potential and are currently widely employed to address challenges associated with traffic flow and road infrastructure modeling. A simulation model of a section of a large city's road network has been developed. The experiment conducted using this model revealed opportunities for reconstruction aimed at increasing capacity and reducing automobile exhaust gas emissions

Competition in the e-commerce system due to its rapid development forces companies to search for solutions to improve efficiency. The most important issue in this case is logistics operations, which determine the satisfaction of customer requirements. The emergence of intelligent technologies allows you to rebuild the system of delivery of online orders, making it more flexible and convenient. The article considers one of the ways to solve this problem. Using the example of building a two-link delivery system from an online store, it is shown that the proposed system will not only speed up the delivery process, but also reduce the load on the city’s transport network both in terms of traffic and from an environmental point of view. Ultimately, the proposed delivery option will contribute to the implementation of the ESG concept. The proposed system uses simulation models that have proven themselves well for solving such problems. Various options for courier deliveries of the “last mile” are recommended

Transport logistics in modern conditions includes more and more intelligent elements that improve both physical objects and optimize processes, using technologies of communication means, the Internet of things, and data analysis,. One of the processes that is implemented in the logistics chain is the loading and unloading process. The implementation of this process is especially relevant when delivering goods to shopping centers located in cities. To optimize loading and unloading processes, simulation models are used that allow not only to reduce the waiting time of trucks in the queue for unloading, but also to increase the efficiency of the entire process, as well as reduce the impact on the environment, which is extremely important in cities, and especially megacities. The article provides a practical example of using such a model, an optimization experiment was conducted and the achieved efficiency is shown.

The article outlines the main advantages of using modeling to optimize parking space. The site of the urban road network of the 10th complex of the Profit Group residential area in the city of Naberezhnye Chelny was selected as the object of study. A simulation model of the open parking space of this site, as well as a closed parking lot, was built. During the computer experiment, an estimate of the time spent on parking, as well as the required volume of parking space, was obtained. The novelty of the proposed approach in the article is that using the developed simulation model it is also possible to assess the degree of environmental load on the territory.

The strategy of spatial development of the country for the period up to 2024, based on the infrastructure of a specific type of transport, provides for the connection of the territories of settlements with modern communications; phased reconstruction and modernization; personnel, technical and technological support for interaction and digital transformation of the Russian transport complex. The development of the Russian Arctic is a priority area, since it has a significant natural resource, socio-economic and transport potential, which must be maximized, taking into account all the features of this region. It is important to develop the northern territories in such a way that the transport infrastructure of the Arctic meets the requirements in the field of comfort and safety of the human environment. This can be achieved through the use of vehicles of increased environmental friendliness and energy efficiency. In the study we analyse the possibility of converting shift buses used to deliver personnel involved in the development of fields in the Arctic zone to gas motor fuel using simulation models.

When managing the transport system of an urbanized area, infrastructural changes cannot always solve transport problems. At the same time, organizational measures implemented within the framework of an intelligent transport system can be effective. To make operational and strategic decisions, it is necessary to form a base of typical emergency situations, having previously studied them on a simulation model. For this, we have chosen a micro-simulation method, which allows taking into account the stochastic nature of the traffic flow. As a result of a computer experiment, we have obtained estimates of changes in parameters (average time for a vehicle to cross an intersection in all directions, average speed) when emergencies of a given duration occur at a T-shaped intersection. The novelty of the proposed approach lies in the possibility of assessing the nature of the emergency situations' development for various values of influencing factors.

The radio frequency identification (RFID) technology is being used in almost all areas in which logistics operations are carried out. We considered the usage of RFID identification during the transfer of truck tires by the manufacturer to the distribution of a trading company. It was found that errors and miscalculations occur in the process of RFID identification of tires. We proposed the two-step identification method for truck tires using an RFID system and additional optical sensors. The algorithm for two-stage tire identification has been developed. The system for reporting failures and emergency events in the process of registering truck tires was developed. As a result, the technical solution allowed eliminating shortages and surpluses of tire products. This led to a reduction in financial damage to the manufacturer.

In the era of growing consumption, the task of expanding the concept of reuse becomes urgent. It must be implemented within the framework of a reverse logistics system. The article analyzes mathematical models and methods for optimizing reverse supply chains. It was concluded that existing approaches are limited. A descriptive mathematical model of a proprietary reverse logistics network has been formulated. It takes into account the income from the sale of restored defective parts. We construct a simulation model of the service center, which is the primary element that forms the reverse logistic flow and is an intermediate storage warehouse. The novelty of the study lies in the establishment of the fact that the use of the Weibull distribution for vehicle failures is the most statistically significant for the considered area of operation.

Industry 4.0. with its inherent complexity of technologies, digitalization and intellectualization encourages universities to look for new innovative approaches in education to provide students with advanced professional competencies. Formula Student Electric is an international student competition consisting in the development of racing cars followed by competitive races. However, accidents can happen not only on the track, but also in the garage. A big problem is charging batteries due to the complexity of controlling such a long process. The market lacks ready-made solutions meeting the requirements of the regulations. We developed a schematic diagram of the charger and designed a simplified model of the CC / CV charging process in Simulink. Theoretical calculations show that the charging time of a battery with a capacity of 100 Ah and a maximum voltage of 42 V, in the case of 30 A, took 3 hours 32 minutes to 100% and 1 hour 47 minutes to 50%, at in the case of 20 A - 5 hours 15 minutes and 2 hours 40 minutes, respectively. We selected the charger components. We designed a 3D model of the rack in the SolidWorks software for the safe use of the charger.

The article discusses problems related to the prospects for expanding the stock of vehicles running on gaseous fuel. The fuel is obtained by gasification of waste from the forest, woodworking industry, agriculture and solid domestic waste. It is shown that the transfer of vehicles to gas-generated fuel will allow obtaining positive effects not only in the economy, but also in the social and environmental areas. The factors restraining the development of the gas-generator vehicle market are analyzed. The features of the technical operation of gas-generator vehicles with gas-cylinder equipment units are considered. An algorithm for optimizing the service of gas-generator vehicles is proposed.

In order to improve road safety, an analysis to identify the causes that significantly affect the severity of accidents was conducted. Within the framework of the developed algorithm for managing the road safety system, methods of descriptive statistics and analysis of variance were used. In addition to the often used time factor, which includes the month, the day of the week and the time of the day when the accident occurred, such factors as weather, road and surrounding infrastructure, driver condition, type of accident and type of violation were taken into account. The factors significantly influencing the target variable characterizing the severity of the accident - the number of people injured in a traffic accident - were identified and ranked. It has been found that the activities carried out that influence the selected factors have been effective.

In the era of the Fourth Industrial Revolution, one of the key drivers of change is a sharing economy or so called “uberization”. Uberization is especially rapidly developing in the service sector, in particular - when organizing individual passenger transportation by taxi services. Such taxi services as Uber and Gett, that use technological Internet platforms, allow faster and cheaper than traditional taxi companies to order the taxi. From the other point of view, they have the same disadvantage as the usage of individual transport is often associated with. It is the incomplete load of vehicles, which causes an additional negative impact on the environment as well as on the road network. This article presents a decision support system for taxi dispatch services based on the model of optimal route choice. Optimization is carried out with the help of multifactor analysis of transportation requirements and selection of the optimal route in accordance with given priorities. Such a system will reduce the cost of transportation and negative impact on the environment through the selection of fellow travelers by using a mobile application.

The article considers the issues of circulating economy in the field of industrial and household waste processing with the aim of producing gas motor fuel for gas generating vehicles and transport and technological equipment. The authors suggest the vehicle enabling placing a modernized gas generator with automated feeder for solid fuel. Modern digital technology allows to trackrunning the installation. The automated gasification process runs without intermediate stops of the vehicle, thus reducing weight, dimensions of the gas generator, increasing useful volume and body area, increasing mileage at one gas station, improving technological and environmental characteristics of the engine, and reducing the cost of transportation.

The transition to the fourth industrial revolution, driven by the technique and technology rapid development, accompanied by negative processes in ecosystems, has led to a change in the economic paradigm – to the circular economy. To reduce the negative impact on the environment, it is necessary to reduce resource consumption while reducing the production and consumption waste growth. The negative impact of municipal solid waste (MSW) on the environment, leading to climate change, causes the need to find solutions to ensure comfortable living conditions for the population. The article presents the technology for producing gas-engine fuel by processing MSW; it is shown that the polyethylene-containing components proportion influences the fuel produced quality; therefore, preliminary MSW sorting is necessary to obtain gaseous motor fuel in the gas generator.

The digitalization and intellectualization of all processes, accompanying the transition to the fourth industrial revolution, opens up new possibilities in managing large systems. Any enterprise activity and any economy sector is associated with goods and people movement. In the increasing mobility conditions, the issues of improving the transport system reliability are of particular importance. We propose to solve these issues at all stages of the technical systems life cycle, in particular trucks, by creating a common information space that allows, on the actual information basis and the use of new analysis methods, to increase the efficiency and reliability of the transport system as a whole.