Car Transport Research Articles

Sustainability and the development trends of rural retail business in the Czech Republic

ABSTRACT The purpose of this paper is to identify the factors that influence the sustainability of rural grocery stores and to assess the effects of the ongoing consolidation and spatial concentration in rural grocery stores on the accessibility of rural grocery stores in the Czech Republic. In this paper, we start by presenting the continued decline of retail grocery stores in rural areas of the Czech Republic. The decline is seen to be especially severe in villages with fewer than 1,000 inhabitants. By examining official statistics from the Czech Republic and research papers from selected European countries, we see how the rural retail sector is monitored. We demonstrate the very good accessibility of grocery stores for residents of the entire Czech Republic, including residents of small villages. Differences in the external and internal environment of rural grocery stores were identified. Consequently, we also present the preliminary findings of in-depth interviews with rural grocery storekeepers in Southwestern Bohemia. The article ends with a summary of the current situation in rural retail. In policy terms, the research shows that more work needs to be done to identify, quantify, and then promote the advantages of rural retail. External factors influencing rural retail business are the high level of competition, grant programs for rural grocery stores, the relatively short distances consumers have to travel by car or public transportation to modern retail facilities with a wider assortment, better prices, and more attractive shopping space in modern retail facilities. Internal factors that negatively affect a rural retail business are staff with inadequate qualifications and an approach that is not focused on the consumer and his needs, and opening hours and a product range that does not reflect consumer requirements. The contribution of this paper is focused on the sustainability of entrepreneurialism in rural retail.

‘A land made fit for tourists’: Thomas Cook, tourism promotion, and colonial development in Iraq, 1920–1932

ABSTRACT This article focuses on the British travel firm Thomas Cook & Son's operations in Iraq, threading together the histories of antiquities-focused tourism and development from the country's establishment as a League of Nations Mandate in 1920 through its independence in 1932. It situates the firm's rhetoric within two principles undergirding mandate-era colonial development: development of the land, achieved through the modernisation of transportation infrastructure, and the development of the Iraqi people ‘along native lines’. Journalists, tourism promoters, politicians and travel writers lauded investments in Iraq's railways, automobile transportation and civil aviation infrastructure. They presented visions of Iraq's development as inextricable from its place within regional and global transportation networks. In the same period, a fascination with antiquities resulted in an outpouring of media about ancient Iraqi civilisations. Thomas Cook's cohesive publishing output – from guidebooks and travelogues to ephemeral written and visual sources, including pamphlets, magazines and advertisements – reveals how the company presented Iraq as both a country boasting the latest in modern transportation and hospitality facilities as well as an exotic land of perpetual antiquity. Thomas Cook not only replicated colonial discursive strategies, but also made them legible within the cultural (and seemingly ‘apolitical’) register of leisure travel.

진도항 해양관광 발전전략에 관한 연구

Purpose : The purpose of this study is to suggest strategies to develop the Jindo port’s ocean tourism by the AHP (Analytic Hierarchy Process) analysis. Research design, data and methodology : This study derived the development strategies of ocean tourism for Jindo port through literature and experts’ opinions and conducted AHP analysis by investigating 35 experts. Results : According to the AHP survey results, ‘Vitalization of car ferry operation’ and ‘Infrastructure expansion’ were evaluated as more important than the other 2 major categories. The important sub-categories were 'Expansion of car ferry routes', 'Securing car ferry transport resources', and 'Expansion of passenger terminal convenience facilities'. Conclusions : In order to develop Jindo port’s ocean tourism industry, activating the car ferry operation and expanding the port’s infrastructure including the passenger terminal and hinterland’s tourism facilities should be executed first.

Planning for equal transit-based accessibility of healthcare facilities: A case study of Shenzhen, China

Recent location-allocation studies have made considerable progress in optimizing the equality of facility accessibility but are focused on automobile transport to facilities. In cities, however, the transit-based accessibility of essential services is crucial for social equality and sustainable development. In this study, we develop a modified transit-based maximal accessibility equality (MAE) model for optimizing the equality of the transit-based accessibility of healthcare facilities. In this model, equality is quantified as the weighted mean absolute deviation (WMAD) of accessibility across locations. Two scenarios are set up to reallocate resources or allocate newly added resources. The results reveal that the equality of transit-based healthcare accessibility can be significantly improved in both scenarios. A dispersed planning strategy for facilities is suggested to achieve equal accessibility. However, the transit-based optimization results significantly differ from the car-based optimization results, with more supply allocated to facilities close to transit corridors. This finding implies that the traditional car-based MAE model might generate unequal healthcare accessibility for transit-dependent populations and thus lead to biased recommendations for healthcare planning. Furthermore, it shows that traditional car-based optimization may engender a misallocation of healthcare supply, exacerbating the inequality in healthcare accessibility. The necessity of incorporating public transit into public facility planning is highlighted. The improved MAE model can be applied in cities where the supply of public services is relatively adequate and public transit plays an important role in daily mobility.

Interaction of Investigative Agencies, Operational Bodies and Other State Authorities in the Detection and Investigation of Thefts of Motor Vehicles

Modern world is characterized by the dynamic production of automobile transport, which steadily leads to the mass motorization of population. Under these circumstances, the issues of combating the criminal auto business become an urgent problem for the society and the state as a whole. Despite the annual decrease in theft of motor vehicles disclosure, investigation and prevention of these illegal acts remains one of the priority areas for law enforcement agencies, in view of the emergence of new organized groups and modern approaches to committing and concealing crimes. Since the organization of combating crime is a complex, multifaceted and complex work, the need for coordinated work of interacting subjects is objectively obvious. The purpose of the study is to develop the scientific basis for the interaction of investigative agencies with operational bodies and other state authorities in the detection and investigation of theft of vehicles. The methodology of this research is based on a theoretical analysis of the main scientific provisions and results of scientists in the field of criminal law science who have studied the problematic aspects of the interaction between law enforcement and other bodies. This study involving the analysis of law enforcement practice showed the relevance and principles of interaction, mistakes made in the process of joint work, as well as the recommendations aimed at increasing the level of interaction and coordination in the investigation and disclosure of theft of motor vehicles.

Re-Evaluation of Patient-Sourced Radiation Doses in PET/CT.

New generation PET/CT devices provide quality images using low radiopharmaceutical activities. Dose monitoring is carried out for nuclear medicine personnel, other health personnel, and companions by determining the radiation dose emitted from low-activity patients to the environment. In particular, it is necessary to revise the working conditions of the personnel according to the radiation dose exposed. It was aimed to reevaluate the radiation dose rate transmitted to the environment from patients injected with 18F-FDG. A total of 31 patients (14F, 17M) who underwent 18F-FDG PET/CT imaging were included. The mean 18F-FDG activity of 7.26 ± 1.29 mCi was used for injection. After injection, radiation dose rates (mR/h) were measured at distances of 25, 50, 100, 150, and 200cm for 3 different periods from the level of the head, thorax, abdomen, and pelvis by using a GM counter. Additionally, biological samples such as urine and sweat were taken during 3 different periods. The activity amounts (μCi) in the samples were measured with a well-type counter. Strong correlations were calculated between normalized dose rates obtained by all regions and time. Considering the nuclear medicine staff handling time with a PET/CT patient, the average dose received by staff was calculated between a range of 0.002-0.004 mSv/pt. The radiation dose exposed to the porter and nurse was calculated as 0.049 mSv/pt for the 2nd hour and 0.001-0.007 mSv/pt for the 4th hour, respectively. The companion was exposed to a dose between 0.073-0.147 mSv and 0.024-0.048 mSv for public transport and private car transportation after 4-6 hours of injection (for 30-60 min of travel duration), respectively. For inpatients, the received dose for porters, serving 20min from a distance of 30cm for the 2nd and 4th hours after the PET/CT scan, was 0.049 mSv/pt and 0.048 mSv/pt, respectively. And for nurses serving from a 50cm distance between 1-5 minutes, these values were found to be 0.001-0.007mSv/pt, 0.001-0.007mSv/pt, and 0.001-0.006mSv/pt, respectively. The radiation dose of nuclear medicine staff, porters, nurses, and companions are found to be below the recommended dose limit by the ICRP. According to our results, there is no need for any restrictions for patients, companions, or healthcare personnel in PET/CT units.

Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG

The growing demand for semi-autonomous human–machine systems has led to an increased requirement for human fatigue detection. Direct and invasive approaches for microsleep detection include cognitive computing methods using Brain-Computer Interfaces (BCI). The contextual integration of multi-channel or heterogeneous signals for sleep staging remains a formidable challenge. In addition, the cost of acquiring many signals is significantly higher than that of acquiring a single signal. Consequently, researchers have recently attempted to utilize single-channel EEG over multi-channel acquisition systems for sleep staging. The Fast Fourier Transform (FFT) has been widely used in previous research findings for spectral analysis of complex time-series data streams. In contrast to the FFT, we utilize here, for the first time, the Welch Transform which can give higher stability in noise reduction for spectral analysis. Specifically, we provide a novel method to implement the short-time Welch transform (STWT) as an enhanced technique for the spectro-temporal analysis of single-electrode EEG signals. Further, our proposed model utilizes attention-based spatial and channel-wise inter-dependencies using a one-dimensional causal convolutional neural network (CNN) to extract contextual features automatically. Finally, we demonstrate an end-to-end proof of concept for our data extraction, adaptive data resampling, manual feature extraction, and deep-neural network-based modeling architecture. Comparative simulation results using the benchmark, maintenance of wake-fullness test (MWT) dataset for microsleep detection during automobile transportation, show that our proposed end-to-end system, utilizing novel STWT-based enhanced spectro-temporal analysis, outperforms current state-of-the-art methods, delivering 95% and 89% test accuracy for the case of temporal and spectral data inputs, respectively.

The Impact of the Pandemic on the Daily Mobility of Residents

Abstract The COVID 19 pandemic has created blocks in our society that have affected all areas of our lives. One of the areas that have been affected most significantly is the transport sector. Due to the restrictions against the spread of the pandemic, public transport suffered huge losses. The aim of this contribution is to point out the changes in the traffic behavior of the inhabitants of Slovakia due to the COVID-19 pandemic. For this purpose, the data obtained using a questionnaire survey, which was carried out during 2021 by the inhabitants of Slovakia, served this purpose. It was found that during the strongest waves of the pandemic, residents avoided using public transport and switched to other modes of transport, primarily individual car and pedestrian transport. The main reason was safety and health concerns.

Investigation and Improvement of Test Methods for Capacitance and DCESR of EDLC Cells.

The quick and accurate characterization of commercial electrochemical double-layer capacitor (EDLC) cells, especially their capacitance and direct-current equivalent series internal resistance (DCESR), is of great significance for the design, maintenance, and monitoring of EDLCs used in areas of energy, sensors, electric power, construction machinery, rail transit, automobile transportation, and military. In this study, the capacitance and DCESR of three commercial EDLC cells with similar performance were determined and compared by following the three commonly-used standards of IEC 62391, Maxwell, and QC/T741-2014, which are significantly different in test procedures and calculation methods. The analysis of the test procedures and results demonstrated that the IEC 62391 standard has the disadvantages of a large testing current, long testing time, and a complex and inaccurate DCESR calculation, whereas the Maxwell standard has the disadvantages of a large testing current, a small capacitance, and large DCESR testing results, and furthermore the QC/T 741 standard has the disadvantages of a high resolution requirement for the equipment and small DCESR results. Therefore, an improved method was proposed to determine the capacitance and DCESR of EDLC cells by short-time constant voltage charging and discharging interruption methods, respectively, with the advantages of high accuracy, low equipment requirements, short testing time, and the easy calculation of DCESR over the original three standards.

Residential relocation as a key event in commuting mode shift

Residential self-selection studies argue that pre-existing travel-related attitude overshadows the role of changes in residential built environment in (re)shaping travel behaviours. Our study contributes to this self-selection argument by including family- and job-related life events as another self-selection source, and accounting for the reverse causality from built environment to travel attitude as opposed to the attitude-induced self-selection. Using a two-wave sample of 1,038 Dutch residents before and after the relocation, we developed structural equation models to investigate longitudinal relationships between changes in residential built environment and job-housing distances, the occurrence of life events, and changes in commuting mode choices and preferences pre-post relocation. Results supported residential self-selection arising from pre-existing preferences for car and public transport commuting, while residents lowered the active commuting preference after moving to a more suburban neighbourhood. Life events concurrent with residential relocation, such as childbirth and job changes, also underlay greater demand for car use.

Satisfaction of Istanbul Citizens with Urban Public Transportation

Transportation is one of the most challenging urban subsystems to transform in an environmentally friendly and futuristic way. Many city dwellers use a variety of modes of transportation. An efficient and sustainable urban transportation system must include many modes of transportation for a single trip. Intermodal combinations are essential for urban transportation efficiency. Public transportation and commuting are essential elements of multimodal travel. In urban areas, a mix of bicycles, vehicles, and public transportation is prevalent, while in rural areas, car, and public transportation are more prevalent. By examining the characteristics that lead customers to prefer water transportation over Metrobus and Marmaray, we hope to gain a better understanding of how the Asian and European sides of Istanbul are traversed. The number of participants in the "Maritime Transportation Satisfaction Survey" was 2,343. During this period, a model was built using the survey item "frequency of use" (dependent variable). Numerous survey examines and evaluation methodologies were utilized to determine the effectiveness of this strategy. The study examines the intermodal travel motivations and the evaluation of transportation options by multimodal users. For a successful urban transportation system, urban planning must take into account multimodal travel behavior and user expectations. There are initiatives to improve water transportation in Istanbul. Conventional maritime transportation is inadequate from start to finish. An integrated route optimization method is needed to increase the efficiency of maritime transportation. We believe that by strengthening maritime transportation links will increase water consumption. Before the coronavirus pandemic, 2,343 maritime carriers were evaluated on March 8, 2020. (Different surveys were conducted among the passengers of City Lines, Private Motors, Metrobus, and Marmaray to compare their choices and reasons.) SPSS will be used for data analysis. Multivariate Statistical Analysis relies on Multinomial Logistic Regression and Discriminant Analysis models, both of which use the K-fold and Leave-one-out criteria to decide which attributes are valid in the regression model and which are valid in the discriminant approach. The Hosmer-Lemeshow test criteria yielded a p-value greater than 0.05 for MLR characteristics.

Approach Draft to Evaluate the Transport System State—A Case Study Regarding the Estimation Ratio Model of Transport Supply and Demand

The article suggests a system dynamics model for estimating the demand for public transport. Traditional scientific and technical transport modeling approaches involve coherent systems, meticulously considering other impactful variables for transport modeling. The vastness of the variables and their combinations hinder us from grasping all possible system interactions. This research aims at proposing a model that comprises decisive factors in relation to the supply and demand in various modes of transport, designing likely scenarios of the transport system development in a specific transport territory. The model uses system dynamics tools to explore the interaction between individual system elements and transport subsystems. A wise choice of crucial system elements, well-adjusted relationships and behavior settings, as well as system dynamics tools, allow for a considerable simplification of an otherwise complex system. The article works with a principle of stock and flow diagrams for forecasting supply and demand in public transport. We take into consideration the implementation of a ‘demand index’ in public and car passenger transport with a subsequent comparison. This innovative approach monitors the development of a regional or municipal transport system while assessing its sustainability. Suggested demand indexes may serve as indicators for a sustainable municipal system. The suggested model reflects data from the South Bohemian region in the Czech Republic and may involve other elements and indicators of a sustainable transport system.

Examining the transport to school patterns of New Zealand adolescents by home-to-school distance and settlement types

BackgroundScholarship on active transport to school has largely focused on children, (large) urban areas, the umbrella term of “active transport” which considered walking and cycling together and without taking into account walking and/or cycling distance. This research examined adolescents’ patterns of transport to school in diverse settlement types and in relation to home-to-school distance in the Otago region of Aotearoa New Zealand. MethodsPatterns of transport to school by home-to-school distance, and across school locations, are described for a sample of 2,403 adolescents (age: 15.1 ± 1.4 years; 55% females) attending 23 out of 27 schools in large urban areas (n = 1,309; 11 schools), medium urban areas (n = 265; three schools), small urban areas (n = 652; four schools) and rural settings (n = 177; five schools). Empirical data were collected through an online survey, in which adolescents reported sociodemographic characteristics, travel to school, and perceptions of walking and cycling. Home-to-school distance was measured on the shortest route determined using Geographic Information Systems (GIS)-based network analysis. ResultsTransport to school patterns differed significantly by home-to-school distance and across settlement types. Profiles of different transport user groups showed significant variability in sociodemographic characteristics, family factors, average distance to school, self-reported physical activity, and perceived health. ConclusionsInitiatives to promote active transport and reduce reliance on car transport to school, whether to improve health and the environment or to reduce greenhouse gas emissions, need to pay closer attention to the settlement types, distance to school, and characteristics of different transport user modes.

Exploring changes in residential preference during COVID-19: Implications to contemporary urban planning.

The advent of the COVID-19 pandemic and the subsequent lockdown has reshuffled our daily routines and activity spaces. The home and its immediate environment have attained a critical role in coping with the confinement both as living, working and recreational space. Drawing on a longitudinal survey from greater Oslo, we analyze shifts in residential preferences amidst COVID-19. Given the pandemic induced movement restrictions, we pay special attention to the mediating role of perceived accessibility on the link between several sociodemographic/locational/housing characteristics on preference shifts. Amidst a drop in perceived accessibility, outdoor assets like gardens or balconies, and motility by car and public transport are amongst the residential and locational amenities that have gained most in people's considerations for a new dwelling peri-pandemically. Dwelling satisfaction and preferences with regard to neighborhood density, dwelling size, and work-proximity, have remained largely unchanged despite a clear trend towards more teleworking. Our results can be understood as a nod of approval to contemporary compact urban planning. Nonetheless challenges as to bolstering its resilience still linger and more needs to be done to mitigate the inequalities in (perceived) access to in-home, near-home, and mobility assets that we have also observed to have (re)-immerged in the wake of the pandemic.

Contributing Factors to the Changes in Public and Private Transportation Mode Choice after the COVID-19 Outbreak in Urban Areas of China

The COVID-19 pandemic has tremendously affected the whole of human society worldwide. Travel patterns have greatly changed due to the increased risk perception and the governmental interventions regarding COVID-19. This study aimed to identify contributing factors to the changes in public and private transportation mode choice behavior in China after COVID-19 based on an online questionnaire survey. In the survey, travel behaviors in three periods were studied: before the outbreak (before 27 December 2019), the peak (from 20 January to 17 March 2020), and after the peak (from 18 March to the date of the survey). A series of random-parameter bivariate Probit models was developed to quantify the relationship between individual characteristics and the changes in travel mode choice. The key findings indicated that individual sociodemographic characteristics (e.g., gender, age, ownership, occupation, residence) have significant effects on the changes in mode choice behavior. Other key findings included (1) a higher propensity to use a taxi after the peak compared to urban public transportation (i.e., bus and subway); (2) a significant impact of age on the switch from public transit to private car and two-wheelers; (3) more obvious changes in private car and public transportation modes in more developed cities. The findings from this study are expected to be useful for establishing partial and resilient policies and ensuring sustainable mobility and travel equality in the post-pandemic era.

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model.

At the beginning of 2020 there was a spinning point in the travel behavior of people around the world because of the pandemic and its consequences. This paper analyzes the specific behavior of travelers commuting to work or school during the COVID-19 pandemic based on a sample of 2000 respondents from two countries. We obtained data from an online survey, applying multinomial regression analysis. The results demonstrate the multinomial model with an accuracy of almost 70% that estimates the most used modes of transport (walking, public transport, car) based on independent variables. The respondents preferred the car as the most frequently used means of transport. However, commuters without car prefer public transport to walking. This prediction model could be a tool for planning and creating transport policy, especially in exceptional cases such as the limitation of public transport activities. Therefore, predicting travel behavior is essential for policymaking based on people's travel needs.

Racial differences in the association of undetectable HIV viral load and transportation to an HIV provider among men who have sex with men in Atlanta, Georgia: a health equity perspective

ABSTRACT There are inequities in HIV outcomes among Black gay, bisexual, and other sexual minority men who have sex with men (GBMSM) compared to GBMSM overall, including access to transportation to HIV care. It is unclear if the relationship between transportation and clinical outcomes extends to viral load. We assessed the relationship between transportation dependence to an HIV provider and undetectable viral load among Black and White GBMSM in Atlanta. We collected transportation and viral load information from GBMSM with HIV from 2016–2017 (n = 345). More Black than White GBMSM had a detectable viral load (25% vs. 15%) and took dependent (e.g. public) transportation (37% vs. 18%). Independent (e.g. car) transportation was associated with undetectable viral load for White GBMSM (cOR 3.61, 95% CI 1.45, 8.97) but was attenuated by income (aOR. 2.29, 95% CI 0.78, 6.71), and not associated for Black GBMSM (cOR 1.18, 95% CI 0.58, 2.24). One possible explanation for no association for Black GBMSM is that there are more competing barriers to HIV care for Black GBMSM than White GBMSM. Further investigation is needed to confirm whether 1) transportation is unimportant for Black GBMSM or 2) transportation interacts with additional factors not considered in this analysis.

Accurate simulation on the forming and failure processes of fiber metal laminates: A review

Fiber metal laminates (FMLs) are a kind of composite material prepared by alternately arranging fiber layers and metal sheets at a certain temperature and pressure. It has been widely used in aerospace and automobile transportation for its excellent combined mechanical properties. For the forming and failure processes of FMLs, the interfacial behavior and damage evolution of components are hard to be observed experimentally. Therefore, it is of great importance to simulate them accurately. In this article, the development and application of FMLs were first introduced. Then the comparison of constitutive models in FMLs simulation was given, especially the dynamic constitutive model applied to the metal layer. After that, the important aspects of damage evolution, interface behavior, and model optimization in the simulation on the forming and failure process of FMLs were analyzed, and the emphasis is on the nonlinear progressive damage model of different materials, the construction of cohesive zone model and superior meshing methods. Furthermore, the experimental verifications of FMLs simulation were given. It is shown that the deformation behavior and damage characteristics of various kinds of FMLs during forming and failure processing can be accurately predicted by reasonable numerical simulation. Eventually, the future outlooks for numerical simulation of FMLs was proposed. Through this review, scholars and engineers who are interested in FMLs can systematically understand the numerical simulation work of FMLs, which is helpful in improving the quality of research in this field.

An eco-aware framework for AI-based analysis of contextually enriched automotive trip data

ABSTRACT The transport sector is one of the main contributors to gas emissions and the greenhouse effect. Mobility as a Service seeks to combine different means of transport (public transport, bicycles, cars, etc.) in an integrated way to solve this problem. Raising drivers’ awareness and advising them to drive more efficiently and economically can help reduce environmental impact. Ultimately, eco-driving can help save fuel, money and provide higher passenger satisfaction during the trip. The research uses a contextually enriched automotive data set collected via OBD, during passenger transportation in private cars. A multilevel analysis was conducted using a variety of approaches. With AI-based analysis, using unsupervised learning, we identified five groups of similarities as a function of speed and acceleration. The efficiency of each driver was examined and speed and acceleration/deceleration were noted as the most influential factors. Also, passengers’ perception of driving quality is negatively affected by sudden acceleration and deceleration. Passengers have a poor perception of the driving efficiency and additional efforts should be made to educate them about the environmental aspect of driving. Finally, the main contribution is the eco-aware framework, which covers and describes the entire process from data collection to analysis. The collected data are publicly available and include 110 trips represented by more than 65,000 data points.

EVALUATION OF THE USE OF ROAD TRANSPORT WHEN DELIVERING GOODS BY MEANS OF A MATHEMATICAL APPARATUS

The study considers the peculiarities of cargo transportation by road in the conditions of new geopolitical and military threats and indicates the increase in the specific role of this mode of transport in the national freight circulation. It is established that the greater reliability of car cargo transportation leads to an increase in their strategic importance in the conditions of the latest threats not only for the sustainable development of the country's economy, but also for national security. The mathematical apparatus of evaluating the use of road transport when cargo transportation is developed to ensure properly management levels. Two levels of cargo transportation management are considered – a national level of efficiency and the level of efficiency of a logistics company. It is stated that the national level necessitates, first of all, the realization of the problem of reliable transportation of goods. Therefore, to evaluate the effectiveness of a logistics company, it is necessary to analyze its economic indicators. It is proposed to be used as an indicator of the efficiency of freight transportation of national importance to increase the number of non -zero cells of the Boolean matrices in the developed mathematical model. The algorithm for using a group of integral target functions was developed for the enterprise level. For this purpose, a mathematical model of approaching a set of local target functions to their best values on the surface of the integral target function in the parameter space is implemented. For the economical use of the volume of calculating resources, it is proposed to distinguish pseudo static variants of transportation of goods, that is, such parameters of influence which are not significantly changed over time. If changes in time become significant, the introduction of the developed dynamic model is proposed. The developed mathematical model allows not only to solve the problem of finding the best values at the same time for several target functions, but also to evaluate comparatively the options for the use of road transport when transporting goods by the enterprise and to calculate the rank of these options in accordance with the level of their approximation to the best values of the target functions. Keywords: road transport, cargo transportation, target function, evaluation, mathematical model.