Public Transport Routes Research Articles

Unsupervised Learning for Public Transport Delay Pattern Analysis

To analyze inherent and diverse patterns within line-based public transport daily delay occurrences, we introduce a data-driven exploratory analysis focused on the spatial-temporal distribution of these delays. Our approach relies on the utilization of the image pattern recognition technique and k-means clustering algorithm. We extract daily punctuality information from the automatic vehicle location data for a singular public transport route. This information is then translated into a visual representation through aggregated daily delay distribution profile images, offering insights into the spatial and temporal distribution of delays. The delay distribution finds expression in the arrangement of pixels within these profile images. The essence of these images is further distilled through image pattern recognition using the neural network architecture of ResNet50. Employing the k-means algorithm, we cluster these images based on their similarity, revealing five distinct daily delay patterns. The analysis of these patterns offers insight into their unique characteristics, yielding noteworthy outcomes. These findings hold the potential to provide public transport operators with an enriched comprehension of the dynamics of delays occurring on a specific line.

АНАЛИЗ ТРАЕКТОРИЙ ДВИЖЕНИЯ СОЧЛЕНЕННЫХ АВТОБУСОВ ПО УЛИЧНО-ДОРОЖНОЙ СЕТИ ГОРОДА

The issue of designing public transport routes is considered, based on the possibility of using extra-large classon them within the framework of the existing urban road network of Kaliningrad. An assessment of the influence of the geometric parameters of city streets and roads on traffic safety was carried out. Based on the data obtained, a simulation of the passage of a particularly large class of sections of the road network by bus on the proposed route was carried out. A conclusion is presented about the possibility of using articulated buses in the city of Kaliningrad.

ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ДИНАМИЧЕСКОГО УПРАВЛЕНИЯ МАРШРУТАМИ ОБЩЕСТВЕННОГО ТРАНСПОРТА

The purpose of the study: to develop a methodology for dynamic management of public transport routes. The work uses such methods as generalization, classification and formalization, as well as heuristic methods of scientific research. The authors have developed a classification of the types of interconnections of sub-routes, on the basis of which recommendations have been developed for making a decision on the expediency of real-time route realignment. Much attention in this study is paid to the formation of the conceptual apparatus of dynamic management of public transport routes. The results of the study are the only ones of their kind. The solutions proposed by the authors are universal and can be applied to networks with different parameters.

ОЦЕНКА ПОТЕНЦИАЛЬНОЙ ОПАСНОСТИ РЕГУЛЯРНЫХ МАРШРУТОВ ОБЩЕСТВЕННОГО ТРАНСПОРТА

The analysis of methods for assessing the potential danger of regular public transport routes, depending on the characteristics of its elements, is carried out. A simplified methodology for assessing the potential danger of bus routes is proposed, characterized by a principled approach to calculating the coefficient of relative accident rate and rapid response when exceeding its maximum permissible values. This approach will make it possible to determine the dynamically changing working conditions of drivers on routes and ensure traffic safety while working on the line.

ЕКОНОМІКО-ОРГАНІЗАЦІЙНІ ПРОБЛЕМИ РОЗВИТКУ ГРОМАДСЬКОГО ТРАНСПОРТУ В УМОВАХ ВОЄННОГО СТАНУ

The modern conditions in which the cities of Ukraine find themselves dictate new conditions for the development and functioning of public transport infrastructure, which is primarily due to the challenges of martial law, threats of constant shelling by the enemy, and increased safety requirements for passengers. However, the problems of loading city transport networks have not receded into the background, but have become even more acute. Therefore, the substantiation of organizational and economic tools that will change approaches to the effective functioning and development of public transport in the conditions of martial law requires serious research. The article defines the economic importance of public transport and defines its key prospects for citizens and the entire city. Public transport is a socially important service that is usually provided or simply controlled by the state. Socio-economic indicators, which depend on the developed infrastructure of public transport, are substantiated. A model for optimizing routes and entire public transport networks is proposed. Optimal models of public transport system functioning under martial law are analyzed. The criteria of the public transport optimization project have been determined: existing transport, transport demand, the desired transport model of the city, data on passenger flows for calibration and the desired optimization criteria. Conflicting reasons for residents' choice of individual transport rather than public transport have been studied. Comfortable and profitable tools for passengers using public transport are offered. The European experience and standards of public transport infrastructure functioning of European countries are systematized. The experience of European countries shows that in order to optimize public transport routes, specialists create special transport models that reflect the current or projected future demand for transport. On the basis of the conducted research, the main directions of the development of public transport in Ukrainian cities in the conditions of martial law are proposed.

ОЦЕНКА ЭКОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ И ЭНЕРГЕТИЧЕСКОЙ ЭФФЕКТИВНОСТИ ТРАНСПОРТНЫХ СРЕДСТВ, ОБСЛУЖИВАЮЩИХ МАРШРУТЫ ГОРОДСКОГО НАЗЕМНОГО ТРАНСПОРТНОГО КОМПЛЕКСА

The urban passenger transport complex is the most important part of the infrastructure of modern cities and provides a number of key functions. The condition for the effective operation of the transport complex is the balanced development of the subsystems included in its structure, which in turn necessitates the formation of a methodological framework that determines the conditions for such development. Based on the indicated provisions, the purpose of the study is formulated, which is to increase the efficiency of the operation of vehicles serving the routes of the urban ground passenger transport complex, based on the results of an assessment of their environmental safety and energy efficiency. To achieve this goal, it is necessary to solve a number of tasks: – study and analysis of the content of research papers, regulatory and technical documents in the field of environmental safety assessment of energy efficiency of vehicles; – development of a methodology for assessing and comparative analysis of environmental safety and energy efficiency, vehicles serving urban public transport routes; – assessment of environmental safety of various categories of vehicles serving the routes of the urban ground passenger transport complex; – generalization and analysis of the results obtained, formulation of conclusions and practical recommendations. During the study, an approach was used that assumes: modeling of energy consumption parameters of vehicles implementing various technologies of fuel and energy supply and a comparative assessment of indicators determining their energy efficiency and environmental safety in traffic conditions on urban passenger routes. Based on the implemented approach, the methods of system and statistical analysis of the initial information, mathematical modeling and methods of multi-criteria evaluation of the results are used in the work. The main result of the study is the numerical values of the indicators of energy efficiency and environmental safety of vehicles implementing various technologies of fuel and energy supply in the conditions of urban ground passenger transport complex, which is the scientific novelty of the study. The use of the obtained values in assessing the efficiency of passenger transportation by vehicles of various categories allows for the formation of a fleet of vehicles based on the results of a multi-criteria analysis. One of the directions of further research involving the use of the results obtained is the development of a comprehensive methodology for determining the optimal structure and coordinated formation of subsystems that make up the urban ground passenger transport complex.

Quantifying the contribution of environmental variables to cyclists’ exposure to PM2.5 using machine learning techniques

Cyclists are particularly vulnerable to travel-related exposure to air pollution. Understanding the factors that increase exposure is crucial for promoting healthier urban environments. Machine learning models have successfully predicted air pollutant concentrations, but they tend to be less interpretable than classical statistical ones, such as linear models. This study aimed to develop a predictive model to assess cyclists’ exposure to fine particulate matter (PM2.5) in urban environments. The model was generated using geo-temporally referenced data and machine learning techniques. We explored several models and found that the gradient boosting machine learning model best fitted the PM2.5 predictions, with a minimum root mean square error value of 5.62 μg m−3. The variables with greatest influence on cyclist exposure were the temporal ones (month, day of the week, and time of the day), followed by meteorological variables, such as temperature, relative humidity, wind speed, wind direction, and atmospheric pressure. Additionally, we considered relevant attributes, which are partially linked to spatial characteristics. These attributes encompass street typology, vegetation density, and the flow of vehicles on a particular street, which quantifies the number of vehicles passing a given point per minute. Mean PM2.5 concentration was lower in bicycle paths away from vehicular traffic than in bike lanes along streets. These outcomes underscore the need to thoughtfully design public transportation routes, including bus routes, concerning the network of bicycle pathways. Such strategic planning attempts to improve the air quality in urban landscapes.

Pengaruh Kualitas Layanan Transportasi Suroboyo Bus Terhadap Peningkatan Kepuasan Masyarakat Kota Surabaya

The study aims to analyze the impact of Suroboyo Bus transportation services on improving the satisfaction of the people of Surabaya. The type of research used in this research is quantitative with survey methods and cross-sectional design. The research was carried out on the Suroboyo Bus public transportation route Rajawali-Purabaya Terminal. This research uses a questionnaire-type instrument using the Likert scale. The number of samples used in this study was calculated using the Slovin formula and samples were obtained from as many as 400 respondents. The data analysis techniques used in this study are instrumental testing, classical assumption testing, hypothesis testing, and double linear regression testing. Instrumental testing results refer to valid and reliable instruments. The results of classic assumptions also showed normal-distributed data and variables X and Y have a linear relationship. The results of the hypothesis test with the F test obtained a P-value of 0,000, so there is a significant influence on the quality of public transport services Suroboyo Bus in general on the improvement of public satisfaction. The result of the analysis of dual linear regregation can be known that all free variables have a positive value coefficient. The determinant coefficent test results showed a large influence of service quality on public satisfactions is 77.49%.

Study of time indicators of public transport operation depending on the season of the year

Mobility problems in large cities of Ukraine and Eastern Europe are complicated by the fact that the increase of private transport volume significantly exceeds street and road network`s capacity. This is most noticeable during peak periods in terms of daylight hours and throughout the year. From the point of sustainable mobility view, this negative phenomenon significantly affects urban public transport, which does not have separate dedicated traffic lines. This article analyzes the issue regarding the deterioration of the transport situation in large cities. The reason for this is the increase in traffic on main streets during the day peaks, as well as the presence of seasonal traffic factors. If the issue of the occurrence and traffic jams duration and the increase in the correspondence time of private transport is sufficiently studied, then the problems of changing the schedules of public transport and taking into account the increase in the trip duration depending on the time of year need to be clarified. The routes of public transport, which do not have a separate infrastructure and move in the general flow together with private cars, were chosen for the study. According to the results of remote monitoring of public transport, a change in the trip duration and time lost due to the boarding and disembarking of passengers on similar trolleybus routes in different seasons was established. Based on the obtained data, a matrix of trip duration unevenness coefficients for public transport routes was formed, and a measure of the seasonality effect on these indicators was established. The obtained results make it possible to quantitatively determine the influence of the season and time of the day on the change in the trip duration, which can be applied in further studies using simulation tools and for practical use in drawing up seasonal traffic schedules. The results of the research complement the currently relevant scientific works, which concern the problems of seasonal mobility, as well as the influence of the social infrastructure objects functioning (schools, kindergartens, and other educational institutions) of cities on the peak load of the street and road network, which extends the duration of traffic not only for private but also public transport.

Evaluasi Tarif Berdasarkan Biaya Operasional Kendaraan (BOK) dan Load Factor Angkutan Umum Kota Kupang (Studi Kasus: Trayek 2 dan Trayek 6))

Public transportation (Bemo) is one of the transportation services that serve the people of Kupang City in a predetermined route, the route that is passed usually has many public facilities. Public transportation is one of the basic needs of the people in Kupang City. But if it is not handled properly, it will become a problem for providers and users of public transportation services. So this study aims to determine tariffs based on Vehicle Operating Costs (BOK), Ability To Pay (ATP), and Willingness To Pay (WTP) of public transport service users in Kupang City, as well as to analyze the ideal tariff based on Ability To Pay (ATP) and Willingness To Pay (WTP) of public transport service users. The public transport routes that will be observed in this study are route 2 and route 6. With the length of route 2 is 10.145 km and the length of Route 6 is 8.573 km. Analysis of Vehicle Operating Costs (BOK) will use the method of Director General of Land Transportation number SK.687/AJ.206/DRJD/2002 concerning technical guidelines for the implementation of public passenger transportation in urban areas on fixed and regular routes. While analyzing the calculation of Ability To Pay (ATP) and Willingness To Pay (WTP) using cross tabulation and travel budged methods. From the results of the analysis it is known that the current tariff in the field is greater than the calculated tariff of Vehicle Operating Costs (BOK) and Willingness To Pay (WTP), but the applicable tariff is smaller than Ability To Pay (ATP). Due to the problem of the pertalite fuel price increase from Rp.7,650 to Rp.10,000, the current tariff increased from Rp.3,000 to Rp.5,000 for the public and Rp.2,000 to Rp.3,500 for students, while from the calculation of the amount of the Vehicle Operating Cost (BOK) tariff is Rp.3,942 for route 2, and Rp.3,483 for route 6. The Willingnes To Pay (WTP) value is Rp.2,222 while the Ability To Pay (ATP) value is greater, namely Rp.8,148.

A New Combined Model for Assessing the Perceived Accessibility of Public Transport by Consumers in the Megapolis

This research aims to create and test a new combined model to identify causal relationships between the perceived accessibility of the non-rail urban ground public transport (UGPT) route network and consumer experience in megacities. The methods used in the research are based on a combination of two models for assessing the perceived accessibility of UGPT passengers and the frequency of UGPT use. An online survey of 1,500 megapolis residents based on the quota sample was organized. Contingency tables were used to test the hypothesis, with the result reliability at a significance level of 5%, which was checked using the chi-square test. The impact of consumer experience on passengers’ perceived accessibility of the UGPT route network was identified. The relationship between the attributes of transport accessibility and the passengers’ frequency of using UGPT highlights significant differences between the perceived accessibility of transport and the frequency of using UGPT. Practical recommendations were formulated for developing transport accessibility for residents of megacities. The novelty of the research lies in the combined approach, which provides a deep understanding of causal relationships between customer experience (frequency of using UGPT) and the residents’ perceived accessibility of UGPT services. This helps to develop a theoretical model and practical recommendations for the improvement of the public UGPT system and transport services. Doi: 10.28991/ESJ-2023-07-06-023 Full Text: PDF

Evaluation of optimal route selection for public transport network routes on urban roads using Fuzzy‐TOPSIS method

AbstractIn developing countries such as India, Bengaluru city has experienced extraordinary growth in vehicle traffic on arterial roads, causing intersections to operate over capacity under mixed traffic conditions. The speed on urban streets in central business district areas is lower than 15 kmph during peak hours. One of the main routes connecting the airport to the central business district is also vulnerable to this problem. Therefore, providing an alternative route to divert traffic from the mainstream is critical. This study's main goal is to identify alternate routes from Majestic to the airport using remote sensing and a geographic information system, and then evaluate those alternates using the Fuzzy‐TOPSIS approach. This study has used the GIS Arc software application to select the alternative while taking numerous factors such as time, speed, distance, environmental impact, and economic feasibility into consideration. The video graphic and moving car observer methods have been used for the extraction of data for the inventory of the existing route, while the geo image processing tool has been used to analyze alternative routes in the Bengaluru metropolitan area (BMA). The analysis has shown that the alternative route has a lesser travel time of 2 h 30 min in public transit and 1 h 30 min in private mode. The future scope of the study is to compare the alternative and the most suitable routes to divert traffic. Another public transport route network could be developed to minimize the external incoming vehicles in BMA, particularly to reach the airport on urban roads under heterogeneous traffic conditions.

An assessment of sustainable transport infrastructure in a national healthcare system

IntroductionHealthcare contributes significantly to carbon dioxide emissions, which can be reduced by promoting sustainable mobility amongst staff commuting. This study aims to investigate the national sustainable transport infrastructure for staff of healthcare facilities and utilise this data to develop a novel scoring and ranking system. MethodsThis was an empirical retrospective observational study. Data was collected on all 47 hospitals sustainable transport infrastructure. A working group calculated the weighted scores for each sustainable transport data point. These scores were used to calculate the Total and Active Sustainability Scores for each hospital, allowing a ranking to be formed. Results7 of 47 (15 %) hospitals had EV charging on campus. 17 of 47 (36 %) hospitals had secure bike parking. 2 of 47 (4 %) hospitals had a “bike hub”. 18 of 47 (38 %) hospitals had a bike lane. 13 of 22 (59 %) city hospitals had bike sharing facilities. 42 of 47 (89 %) hospitals had one public transport route. City hospitals ranked higher in both Total & Active Sustainability Scores. DiscussionThis study explored a new concept of measuring sustainable transport infrastructure. Frameworks examining sustainability are available, however, none allowed for ranking of hospitals. This study highlights the lack of both research in this field and sustainable transport infrastructure in hospitals.

Discovering urban mobility structure: a spatio-temporal representational learning approach

ABSTRACTThe urban mobility structure is a summary of individual movement patterns and the interaction between persons and the urban environment, which is extremely important for urban management and public transportation route planning. The majority of current research on urban mobility structure discovery utilizes the urban environment as a static network to detect the relationship between people groups and urban areas, ignoring the vital problem of how individuals affect urban mobility structure dynamically. In this paper, we propose a spatio-temporal representational learning method based on reinforcement learning for discovering urban mobility structures, in which the model can effectively consider the interaction knowledge graph of individuals with stations while accounting for the spatio-temporal heterogeneity of individual travel. The experimental results demonstrate the advantages of individual travel-based urban mobility structure discovery research in describing the interaction between individuals and urban areas, which can account for the intrinsic influence more thoroughly.

Transport and Mobility Segregation in Urban Spaces

Introduction & BackgroundPublic transportation is one of many factors that influence the level of disadvantage in a city. By facilitating movement within urban areas, transit systems can democratise accessibility to resources, while also fostering social integration among individuals from different areas and sociodemographic backgrounds. Conversely, inequalities in transport services can hinder individuals from fulfilling their travel demands. In this work, we explore socioeconomic segregation in cities from the perspective of their transit systems and how it intersects with segregation levels on a residential and employment level.
 Objectives & ApproachIn our analyses, we combine socioeconomic data from the 2020 American Community Survey with amenity visitation patterns from anonymised mobile phone traces, provided by SafeGraph, to estimate the mobility flows between areas (i.e., Census Block Groups - CBGs) in a given city. We define a CBG's segregation level using the Index of Concentration at the Extremes, which ranges from -1 to 1, reflecting extreme concentration of individuals from low and high income groups, respectively. Moreover, we retrieve General Transit Feed Specification and OpenStreetMap data to construct transit-pedestrian networks for various US cities.
 Relevance to Digital FootprintsWe leverage digital footprints, in the form of mobility flows between CBGs, to estimate the socioeconomic composition of different public transport routes within a city. By combining digital footprints with the respective economic breakdowns of trip origins, and transit-pedestrian networks, we can develop a better understanding of how segregated individuals are throughout various contexts of urban life.
 ResultsWhile segregation still exists in the transport and amenity dimensions, our findings suggest that individuals are exposed to the highest magnitudes of segregation in the residential dimension, with amenity and transit segregation allowing for potential avenues for reducing experiential segregation. However, we observe that the transit service in many cities hinders individuals in low-income neighbourhoods from accessing areas characterised by more affluent socioeconomic backgrounds.
 Conclusions & ImplicationsThese results underscore research that reveals how mobility patterns in neighbourhoods with a high concentration of underprivileged demographics, be it immigrant or ethnic minorities, tend to have more constrained activity spaces than their privileged counterparts. Although it is unclear whether mobility patterns are influenced by segregation levels of neighbourhoods, it is apparent that by limiting exposure to different types of neighbourhoods, transit systems impose constraints on the activity space and urban experience of individuals, namely those without access to personal vehicles. We highlight the benefit of analysing segregation as a spatio-temporal experience rather than a static variable, showing how mobility is used as a tool to try and overcome residential segregation. Moreover, identifying inequalities within transit systems is the first step in providing improved transit service, particularly to individuals from especially vulnerable demographics. Ultimately, by identifying how transit infrastructure may perpetuate segregation, we pursue the first of many steps to re-imagining transport as a point of inclusion within the urban realm.

THE EVALUATION OF ROAD INFRASTRUCTURE FOR SELF-DRIVING VEHICLES

The article deals with the problems of the use of self-driving vehicles (SDV) on public the adaptation of road infrastructures well as with, the necessity and objectives of assessment, and the experience of foreign countries in this field. The main factors influencing for SDV were analyzed. An evaluation model of infrastructure adaptation for SDV has been developed, allowing rational planning and selection of the most appropriate selfdriving public transport routes. In order to efficiently integrate SDV into transport systems, it is recommended to evaluate the potential route alternatives using the SAW method and also to use the efficiency indicators proposed in the thesis and their significance. After analyzing the theoretical and practical aspects of road infrastructure adaptation for SDV conclusions and suggestions are given.

Modified and Improved Algorithm for Finding a Median Path with a Specific Length (ℓ) for a Tree Network

The median path problem (min-sum criterion) is a common problem in graph theory and tree networks. This problem is open to study because its applications are growing and extending in different fields, such as providing insight for decision-makers when selecting the optimal location for non-emergency services, including railroad lines, highways, pipelines, and transit routes. Also, the min-sum criterion can deal with several networks in different applications. The location problem has traditionally been concerned with the optimal location of a single-point facility at either a vertex or along an edge in a network. Recently, numerous investigators have investigated this classic problem and have studied the location of many facilities, such as paths, trees, and cycles. The concept of the median, which measures the centrality of a vertex in a graph, is extended to the paths in a graph. In this paper, we consider the problem of locating path-shaped facilities on a tree network. A new modified and improved algorithm for finding a median single path facility of a specified length in a tree network is proposed. The median criterion for optimality considers the sum of the distances from all vertices of the tree to the path facility. This problem under the median criterion is called the ℓ-core problem. The distance between any two vertices in the tree is equal to the length of the unique path connecting them. This location problem usually has applications in distributed database systems, pipelines, the design of public transportation routes, and communication networks.

Optimal public transport timetabling with autonomous-vehicle units using coupling and decoupling tactics

Fluctuating demand for public transport (PT) is one of the main reasons for unreliable PT service, and subsequent passenger frustration at being left behind at PT stops. A novel way to solve this situation is to optimally use autonomous PT vehicles with coupling and decoupling (C&D) of vehicle units to accommodate the fluctuating PT demand and reliability issues. In this way, vehicle size is added as a variable of the problem. This work proposes a new class of C&D tactics in the process of solving the problems of PT route timetabling subject to passenger demand. Resolving the optimisation problem involves determining the C&D arrangement at stops/stations to accommodate the C&D options and departure times. The validation of the model is performed by a small example and a real case study with a bilevel heuristic algorithm that manages to completely (100%) eliminate left-behind passengers using practical, even-headway, and even-load timetables.

Urban Mobility: A Review of Challenges and Innovations for Sustainable Transportation in Brazil

Objective: The aim of this work is to review the literature and analyze trends and innovations in public transportation, as well as discuss the importance and challenges of urban mobility in the Brazilian context. Theoretical framework: Urban mobility is relevant due to the growth of cities and the need for sustainable transportation. Quality of life and economic development depend on safe and efficient transportation. Mobility also reduces social inequality by allowing access to services and opportunities for different social classes. Inclusive public policies and accessible transportation are crucial to improve people's quality of life. Method: The methodology adopted in this study was based on a literature review conducted in three distinct phases, covering the planning of the review, the effective execution of it, and the communication and presentation of the results obtained from the research. Results and conclusion: The review identified that the current scenario of urban mobility in Brazil is marked by a lack of adequate infrastructure for public transportation, cycling, and pedestrian routes, with an increase in the number of private vehicles on the streets and inequality in access to public transportation. To overcome these limitations, integrated planning, investments in quality public transportation, cycling and pedestrian infrastructure, and a cultural change in relation to urban mobility are necessary. Technological innovations, such as vehicle electrification, digitalization of transportation services, and autonomous car systems, are essential to solve the challenges of urban mobility. Research implications: In the future, integration of transportation forms and intermodal networks is expected to facilitate mobility. Advanced technologies, such as autonomous vehicles, can reduce costs and increase efficiency. Investments in infrastructure, such as cycling routes, charging stations, and renewal of public transportation, are necessary. Public policies that encourage the adoption of electric vehicles and shared mobility, such as tax and tariff reductions, can disseminate technologies. Originality/value: It is recommended to analyze the economic and social impacts of the popularization of electric vehicles in Brazil, including financial viability and charging infrastructure. It is important to research advanced technologies, such as autonomous vehicles, to improve the efficiency and safety of public transportation, as well as to examine regulatory and implementation challenges.

Study of the passengers average waiting time at public transport stops

When predicting public transport routes in cities, important indicators should be considered: the duration of stay on the bus route, passenger flow on the bus route, points of attraction and the passenger’s average waiting time at stops. These indicators are the basis for planning the operation of city transport. In particular, predicting the duration of traffic by studying the average passenger’s waiting time at stops is an important planning tool for transport companies. Therefore, this study can improve the quality of scheduled services by reducing the gap between actual and scheduled travel time. This article discusses this relevance and, based on experimental evidence, points to the benefit of using studies of average passenger waiting times, especially considering population groups. In fact, most of the factors which affect public transport operation, as had been proven by previous studies, follow a definite mathematical methodology. The analysis was performed using the data from field studies of passenger flow at bus stops (Lviv, Ukraine). The study of passengers at stopping points makes it possible to improve the quality of public transport services (calculate travel duration between stops and the duration of stay at them more accurately). The duration of stay at selected objects depending on a number of passengers was studied. Also, there are given the results of a study of the waiting time of public transport passengers at bus stops are given. A comparison of the dependence of the bus waiting time on population groups was obtained. After receiving this information, system operators can design and adjust the data according to the estimated trip duration. Nevertheless, it is necessary to carry out research at different types of stops in different parts of cities to clarify these data and for a more detailed analysis.