ANALYSIS OF THE CITY TRANSPORT SYSTEM'S DEVELOPMENT STRATEGY DESIGN PRINCIPLES WITH ACCOUNT OF RISKS AND SPECIFIC FEATURES OF SPATIAL DEVELOPMENT

Summary. Transport system is the key indicator of sustainable spatial development, because if it is ineffective it can render the economy, the environment, and society vul-nerable. Despite the large number of already existing research, the city transportation sys-tem's development strategy design is still a relevant objective, because the existing ways and strategies of the transport development may not always be applicable in certain cir-cumstances. This article presents the possible ways of improvement of sustainability of the city transportation systems adapted in accordance with the peculiarities of Russian cit-ies. It is stated that when working out a city transportation system's development strategy it is necessary to take into account all possible risks. According to the case study of Na-berezhnye Chelny city, all vulnerabilities of the system that today are typical almost for all Russian cities were analyzed, classification of risks was made, and means of their con-trol were suggested. Solutions proposed as a result of the SWOT-analysis can be used when developing transport strategies for other cities with similar specificity

Influence of the Motor Transport on Sustainable Development of Smart Cities

The transport system is one of the fundamental intelligent systems in the Smart City, and one of the main directions to ensure sustainability and safety of the city transport system is the concept of smart vehicles. Herewith, all processes at all stages of the life cycle should be intellectualized. Since the production stage of the life cycle is one of the most important, the introduction of smart technologies (Industry 4.0) in automotive industry will allow not only to optimize the processes and improve product quality but also to establish favorable conditions for the subsequent intellectualization of the automotive service. The benefits of using smart transport in all fields of activities as well as intellectualization of the decision-making process by the example of the automotive industry enterprises are presented in this chapter

Efficiency assessment of measures to increase sustainability of the transport system

This paper considers managerial approaches to increase efficiency of the urban transport system such as promotion and integration of sustainable modes of transport, development of public transport route network, renewing the existing vehicle fleet and shift to environmental friendly fuel types in the public transport system. To assess such kind of efficiency, it is proposed to take into account the economic viability of suggested solutions as well as their influence on social sphere, environmental friendliness and sustainability of the urban transport system. The city of Naberezhnye Chelny (Russia) was chosen for the case study, where the following measures were modelled: changes of bus route network and choice of an optimal fleet on routes depending on passenger flow by hours of day. In addition, the efficiency of these measures were assessed. To evaluate the sustainability of the proposed route network, the method of “radar map” was used, which shows both strengths and weaknesses of selected indicators. Together with this evaluation, analysis of risks in managing the urban bus transportation was carried out

Cross-culturally approaching the cycling behaviour questionnaire (CBQ) : Evidence from 19 countries

Peer reviewe

Machine vision in autonomous vehicles: designing and testing the decision making algorithm based on entity attribute value model

If we speak about the Smart City’s transport system, autonomous vehicles idea is the first thing that comes to mind. Today, it is strongly believed that the autonomous vehicles’ introduction into the traffic will increase the road safety. However, driverless cars are not the solution by itself. The road safety and, accordingly, sustainability will strongly depend on decision making algorithms inbuilt into the control module. Therefore, the goal of our research is to design and test the data mining algorithm based on Entity–Attribute–Value (EAV) model for decision making in the Intelligent System in the fully- or semi-autonomous vehicles. In this article, we describe the methodology to create 3 main modules of the designed Intelligent System: (1) an Object detection module; (2) a Data analysis module; (3) a Knowledge database built on decision rules generated with the help of our data mining algorithm. To build the Decision Table on the base of the real data, we have tested our algorithm on a simple collection of photos from a Polish two-lane road. Generated rules provide comparable classification results to the dynamic programming approach for optimization of decision rules relative to length or support. However, our decision making algorithm thanks to excluding the mistakes made on the object detection stage, works faster than existing ones with the same level of correctness

A software module for multi-criteria suppliers’ selection with respect to the spare parts logistic

Reliability of vehicles is characterized not only by the quality of production but also by the quality of subsequent maintenance. In this paper, we consider the possible spare parts logistics risks, as they have a huge influence on vehicles’ maintenance. One of the widespread methods to analyze the reliability of complex systems is Fault Tree Analysis (FTA). To identify and systematize all possible risks in spare parts logistics, we have built the Problem Tree. For managing identified risks, we propose a conceptual scheme of an inteligent system. In the framework of this paper, we describe one of the modules that make up this intelligent system. The proposed software module will help to choose the spare parts’ suppliers taking into account their reliability from the logistical point of view. It was tested with the use of real data from an automotive manufacturer

Improvement of the traffic safety system

Increase of the road safety is the main goal in the sphere of transport management. Authors state that the decision-making process should be based on the analysis of statistical data on the violations, traffic reasons of accidents and problem areas. Official statistics of the State Traffic Safety Inspectorate is used as an initial information. As a method to determine factors influencing the traffic safety, the so-called Haddon matrix was used. Efficiency of the proposed recommendations is analyzed from the viewpoint of their role in the process of ensuring safety and sustainability of the city transport system

Routes’ Safety Evaluation Application Development

Pedestrians and cyclists are the most vulnerable road users. One of the ways to increase their safety is the safest route selection. Nowadays, there are a lot of navigation systems and route planners. However, these routes are not assessed from the viewpoint of their safety. The article describes one of the possible system alternatives to assess the safety of route for different types of road users. The developed system is based on the multifactorial analysis of information. Correction factors allow considering special features of each type of road users. The developed algorithm is implemented as an application