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EN
Schedule optimization is a proven strategy to improve service quality for public transport networks. However, current research mostly optimizes schedule design using prior knowledge of users’ routings, ignoring the optimization of public transport schedules on duplicating stretches of route vehicles. This article presents a new alignment technique of time intervals between consecutive vehicles of different routes on duplicating stretches, considering existing public transport networks in attaining optimization of public transport schedule. Scheduling technique of route vehicles on duplicating stretches includes some steps: analysis of public transport network and determining a lot of duplicating stretches, calculation of the optimal time intervals among arrivals of route vehicles and alignment of these intervals among consecutive route vehicles on duplicating stretches, realization simulation model of urban passenger transport within the simulation modeling system of GPSS World. Furthermore, testing the optimization technique of route vehicle scheduling, analysis of the quality of adjusted schedule with route vehicles of different kinds included, and determining the optimization efficiency for duplicating stretches. The adjusting technique of urban passenger transport schedule allows to increase movement steadiness of consecutive vehicles of different routes on duplicating stretches, adjust traffic intervals for each route, shorten the traffic load on stations, reducing idle time and queue lengths of route vehicles in front of transport stops and also minimize waiting time for route vehicle by those passengers who can be transported along several routes. Improving the bus schedule on duplicating stretches in Gomel is illustrated demonstrating the technique developed. This scheduling technique can be used by carriers and transport operators to improve the quality of services provided.
EN
The purpose of this article is to formulate and structure the many goals of the 2030 Agenda for Sustainable Development related to transport and to review the dynamics of changes in indicators of achievement in the Republic of Belarus of those related to safety. The article used methods of collecting and analyzing information with statistical tools using specialized software. The main results are the formation of the many Sustainable Development Goals (SDGs) of the 2030 Agenda related to transport and their structuring. Statistical models have also been obtained showing the dynamics of changes in SDGs related to safety. The study shows how the application of methods of analysis, structuring and statistical data processing can assess the reachability of SDG and, thereby, establish the main places of application of efforts to achieve SDG for transport.
EN
On September 25, 2015, UN member states adopted the 2030 Agenda for Sustainable Development. It contains 17 Sustainable Development Goals (SDGs). Two SDG targets are directly transport-related. Target 3.6: By 2020 to halve the number of global deaths and injuries from road traffic accidents. Target 11. 2: Aims to, by 2030, provide access to safe, affordable, accessible and sustainable transport systems for all, improving road safety, notably by expanding public transport, with special attention to the needs of those in vulnerable situations - women, children, persons with disabilities and older persons. There are other goals, the achievement of which is impossible without the development of transport. All SDGs related to transport are conventionally divided into 4 groups: safety, universal access, efficiency, green mobility. The purpose of this article is to review the dynamics of changes in the Republic of Belarus of indicators for achieving the goals of the universal access group.
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