Transportation System In Terms Research Articles

Microscopic traffic models, accidents, and insurance losses

AbstractThe paper develops a methodology to enable microscopic models of transportation systems to be accessible for a statistical study of traffic accidents. Our approach is intended to permit an understanding not only of historical losses but also of incidents that may occur in altered, potential future systems. Through such a counterfactual analysis, it is possible, from an insurance, but also from an engineering perspective, to assess the impact of changes in the design of vehicles and transport systems in terms of their impact on road safety and functionality.Structurally, we characterize the total loss distribution approximatively as a mean-variance mixture. This also yields valuation procedures that can be used instead of Monte Carlo simulation. Specifically, we construct an implementation based on the open-source traffic simulator SUMO and illustrate the potential of the approach in counterfactual case studies.

Efficiency and equality of the multimodal travel between public transit and bike-sharing accounting for multiscale

As a supplement to the existing public transit system, bike-sharing is considered an effective solution to the “first mile” and “last mile” of travel. While many stakeholders believe that multimodal travel between public transit and bike-sharing can improve urban accessibility and sustainability, few studies have assessed the impact of bike-sharing on existing public transportation systems in terms of efficiency and equality. This research uses three months of mobile phone location data and about 140 million bike-sharing trips (origin–destination, OD) data from Shenzhen, China, to analyze first mile and last mile bike-sharing multimodal travel and measure the impact of bike-sharing on the existing public transportation system in terms of efficiency and equality at different scales. The research finds that bike-sharing is less effective in improving the operational efficiency of urban public transport and creates new inequalities at both global and local scales of the urban public transport system. Bike-sharing is only effective in tiny areas of the city and specific modes (subway-bike-sharing) and does not benefit groups with low socioeconomic levels and those living in edge areas of the city. Improving the equity and accessibility of public transportation is a key factor towards promoting sustainable urban development, and the analysis of this study on multimodal travel efficiency and inequality of bike-sharing can provide helpful insights for future sustainable urban planning.

Applying Utility Criteria to Select the Design Variant of the Transport System in Underground Mine Workings

This article presents a new, in-house developed method of selecting a variant of the transport system in the underground of a mine, using multi-variant decision support, taking into account the specificity of an underground mining plant. The implementation of the method should facilitate the selection of the most optimal transport system, ensuring continuity and the lowest operating costs. Seven functional criteria are proposed herein, which may be of a stimulant or destimulant nature. Each criterion was assigned a specific scoring weight reflecting the level of significance, with the sum of the weights being 100. The highest scores for the variants in the individual criteria go to those characterized by the following traits: the shortest transport time, the highest compatibility with the transport system already existing in the mine, transport routes with the greatest coverage communication, allow workers to be transported to the front of the excavation as quickly as possible, are most compatible with the existing transport systems in terms of the reinforcement and removal of longwalls, have a drive with the lowest operational hazard, have the least negative impact on the atmosphere of workings (exhaust gas emissions), and those that will ensure the best functioning of transport in emergency situations involving risk or uncertainty. For each criterion, a scoring formula based on specific parameters is provided. The method was used to select the optimal variant of the transport system in one of the mines, where four long walls were cut and four long galleries were drilled. Out of ten variants, the variant that should ensure the highest degree of reliable transport operation and continuity of operation has been determined using seven usability criteria.

Fostering an Age-Friendly Sustainable Transport System: A Psychological Perspective

The aging population is rapidly growing across the world, with the number of people aged 65 or older projected to reach 1.6 billion by 2050. As such, it is essential to consider how to develop sustainable transport systems that are age-friendly. This perspective paper investigates how to foster an age-friendly transport system with a particular focus on public and sustainable transport options for the elderly. Existing transport systems are evaluated to determine their adherence to an effective age-friendly transport system in terms of three main requirements, namely affordability, accessibility and safety. Then, a psychological perspective is introduced by considering the psycho-physical needs and preferences of the elderly as well as individual factors affecting them. Four areas are considered: (a) independence and autonomy, (b) comfort and convenience, (c) social inclusion and ageism, (d) physical health and well-being, especially injuries due to mobility and fear connected with them. Finally, a proposal is made about psychological training programs directed to both elderly users and transport workers to overcome concerns for an age-friendly transportation system. Such programs could effectively support the age-friendly use of public transport systems simply by increasing the age-friendly skills of both users as well as transport workers.

Development of distributed and decentralized intelligent transport systems in terms of digitalization

Intelligent Transport System (ITS) is one of the fastest growing areas of intelligent systems that improves road safety and fuel efficiency, reduces traffic congestion, refines the environmental situation of metropolitan cities. The main functions of the intelligent transportation system are real-time monitoring of road conditions in certain areas, location of road traffic incidents (RTI), dynamic monitoring and management of the continuous use of public transport services, as well as anything that can lead to changes in road traffic. In this article, the aforementioned ITS functionality is used as basic simulation scenarios for the development and implementation of an Intelligent Transport System based on the Internet of Things and blockchain technology. Both of these technologies have the inherent characteristics of a distributed technology, integrating IoT sensor nodes and distributed registry technology to register changes in Intelligent Transportation systems and create a credit token mechanism to pay for the use of road transport services. The Intelligent Transport System is a comprehensive intelligent system; it can significantly change and improve traffic conditions.

ГИБРИДИЗАЦИЯ ПАССАЖИРСКИХ ТРАНСПОРТНЫХ СИСТЕМ ГОРОДОВ

The present article describes the evolutionary development of urban transport systems in terms of their technical characteristics as well as the ecology of the services given, using the positive example of public transportation in Krasnoyarsk. The transport systems within the city are developed and hybridized improving the level of multimodal passenger traffic, though raising the issue of legal regulation and management of the complex transport systems.

Evaluation of transport system configuration by efficiency indicators

The study is devoted to the process of evaluating the efficiency of the transport system in terms of urban mobility. The approach is based on the use of a system of performance indicators using neurocomputer technologies. Generalized models for obtaining a vector of performance indicators and an integral performance indicator in the form of computer neural networks are proposed. It is shown that to record the fact that the indicator values fall to the threshold and below, it is enough to use a neural network built on perceptron neurons. The multi-layered model for determining the integral indicator allows assessing the importance of individual indicators in the system of monitoring the efficiency of a given configuration of the transport system. An experimental study of twenty-five states of the transport system of various configurations in the cities of Poland and Ukraine was carried out. The key indicators of the system's efficiency are determined, namely, the energy efficiency indicator of the vehicle as a system element, the environmental indicator and the traffic safety indicator. Based on the results of the experimental study, a neural network structure is proposed for evaluating the energy efficiency of given configurations of the transport system. For the purpose of training and testing the obtained network, the procedure of adjusting the threshold value of the activation function and normalizing the values of the input parameters array of the transport system was used. The constructed network was implemented using Visual Studio 2019 using the C++ language. The network was adjusted to determine the energy efficiency estimate with a given accuracy by replacing the perceptron neuron with a regular one with a sigmoidal activation function. The random nature of the choice of the configuration and the initial values of the weighting factors made it possible to obtain a model with an accuracy of implementation on the control sample in the range from 90 to 98.7% at a learning rate of 0.1.

Determination of factors of territorial connection of the country for development of multimodal air transport system

In modern economic realities, scientific and technical programs and innovative projects of a full cycle should become the dominant tools necessary for the effective implementation of the strategy of scientific and technological development of the Russian Federation. Specially created souncils, the scope of which is related to the determination of priorities in the development of national science, should carry out the procedures for the formation and expert selection of innovative programs / projects of the full cycle. A list of complex scientific and technological projects proposed in the formation of the list of measures for 2020-2022 within the framework of the subprogram "Aviation Science and Technology" of the State Program of the Russian Federation "Development of Aviation Industry for 2013-2025" was compiled. A list of general goals of scientific and technological development of aircraft construction is presented. The most priority directions of scientific and technological development of modern civil aircraft construction have been determined. The authors considered the main goals, objectives and composition of the components included in the integrated air transport system. As a practical example, the formation of the appearance of a promising air transport system in terms of creating innovative technologies for existing and future aircraft, taking into account its integration into the multimodal transport system of the Russian Federation, is considered. The authors of the article propose a new approach to the development of a program / project of a complete innovation cycle based on the use of "gate" approach. The tasks of interaction with the Ministry of Transport of the Russian Federation on the creation of air transport system are considered.

Evaluation of a Sustainable Urban Transportation System in Terms of Traffic Congestion—A Case Study in Taxila, Pakistan

Traffic delays are not wholly new and are a well-known problem that impacts many of the world’s populations through disruptions and pollution. The rising urbanization and quantity of powered road vehicles necessitate a greater traffic control demand to maintain flow and avoid jams. In order to understand the notion of sustainable transportation, this study first examined sustainable transportation systems. This research then assessed Pakistan’s present transportation infrastructure and urban transportation to find the most reasonable and sustainable alternative to reduce congestion. The Taxila intersection was utilized as a pilot study area because of its vicinity to Pakistan’s leading economic hubs (i.e., industrial estates and the twin cities of Islamabad and Rawalpindi). The study used multi-criteria decision making (MCDM) techniques, including the fuzzy AHP, TOPSIS, VIKOR, and traffic simulation software, to determine the optimal solution for a more sustainable transportation system, and reducing traffic congestion. A pairwise comparison of the criteria and alternatives was made using a survey. This survey was used to look into the perspectives of various stakeholders and experts. The outcomes of the fuzzy AHP-TOPSIS and fuzzy AHP-VIKOR revealed that a flyover is the best alternative. In contrast, the best alternative, according to the software was a parking area. Ultimately, we assessed our results using the literature, and site observation, and concluded that a parking area would be the most sustainable alternative in the Taxila intersection.

The case for ‘public’ transport in the age of automated mobility

This paper highlights the extent to which a future mobility system dominated by Connected and Autonomous Vehicles (CAVs) poses profound challenges to the ‘publicness’ of the transport and mobility systems of many cities. This is evident at different policy levels: the regulatory posture of governments, changing notions of the contributions of mobility to wider ‘public value’, and the underpinning shared experiences of urban life and citizenship or civitas. There is relatively little discussion of how widespread automation might reduce the ‘publicness’ of transport systems in terms of the range of mobility opportunities they offer, how changing patterns of mobility across neighbourhoods and social groups will contribute to urban restructuring, and the implications of this for public value and the character or civitas of cities. In particular, we note how the huge expansion in mobility choices made possible by CAVs might lead to circumstances in which the outcome of individuals exercising that choice is to change the nature of urban mobility profoundly. We identify a number of key challenges that policy makers will need to address in managing the introduction of CAVs in their cities, and how using the lens of ‘publicness’ might help them do so.

Evaluation of the public transport system in terms of its adaptation to serve people with disabilities in Northern Wielkopolska (Polish case study)

The problem of disability affects more and more people every year. One of the obstacles to their proper functioning are everyday problems connected with mobility. The aim of this article is to find out the opinion of disabled people living in Northern Wielkopolska on the quality of infrastructure, its adaptation and accessibility for the disabled as well as to present improvements which would enable disabled people to use public transport services safely, freely and comfortably. On the basis of the survey, it may be concluded that the basic problem of road infrastructure from the point of view of people with disabilities is the low quality of access to stops, roads, pavements and high kerbs, poor adaptation of public space or very wide transport and lack of reconstruction of some places and road fragments. Added to this is the average quality of adaptation of public transport for people with disabilities.

Pedestrian Facilities as the Core of Sustainable Public Transport: A Case Study of Kuta-Bali Tourism Destinations

A tourist destination should be designed to make walking more enjoyable and sustainable. Many tourist destinations fail to provide pedestrian facilities to support sustainable tourism. Recognizing the important role that walking has in creating attractive, accessible, safe, and healthy destinations, it is necessary to develop these pedestrian facilities as a core in designing and evaluating Public Transport systems in terms of mobility and sustainability. The purpose of this study is to improve pedestrian facilities based on walkability indexes. This study uses a mixed-methods approach that combines qualitative and quantitative methods to collect data and further information on the topic. The results of this research are in the form of a guide, covering all aspects of pedestrian and bicycle planning in the tourist destination area of ​​Kuta-Bali in the form of basic and up-to-date information about various planning and design concepts.

LFT-Net: Local Feature Transformer Network for Point Clouds Analysis

6G network enables the rapid connection of autonomous vehicles, the generated internet of vehicles establishes a large-scale point cloud, which requires automatic point cloud analysis to build an intelligent transportation system in terms of the 3D object detection and segmentation. Recently, a great variety of deep convolution networks have been proposed for 3D data analysis, making significant progress in the application of deep learning in 3D computer vision. Inspired by the application of transformer network in 2D computer visual tasks, and in order to increase the expression ability of local fine-grained features, we propose an effective local feature transformer network to learn local feature information and correlations between point clouds. Our network is adaptive to the arrangement of set elements through transformer module, so it is suitable for the feature extraction of local point clouds. In addition, experimental results demonstrate that our LFT-network outperforms the state-of-the-art in 3D model classification tasks on ModelNet40 dataset and segmentation tasks on S3DIS dataset.

Sustainability drivers in road transportation system: Evidence from China

This research explores the sustainability drivers of the Chinese road transportation system in terms of its cargo and environmental productivity levels. A novel Fuzzy Double-Frontier Network Data Envelopment Analysis (FDFNDEA) model is proposed to investigate the relationship between desirable (freight and passenger turnovers) and undesirable (CO2 and NOx emission levels) outputs against the respective power consumed in each one of the 29 Chinese provinces (municipalities and autonomous regions) between 1985 and 2017. The power consumption emerges spatially and temporally as a consequence of the evolution of the road system's productive resources (employees, highway length, number of vehicles, and fuel consumed) at the province level over the course of time. Shannon's entropy is used as the cornerstone to quantify input and output vagueness of this evolution in terms of triangular fuzzy numbers (TFN), thus allowing the building of alternative optimistic and pessimistic double efficiency frontiers. Respective Malmquist Productivity Indexes (MPI) for overall and each stage productivity are regressed against contextual variables related to demography, economic activity, competitor infrastructure, and highway quality using bootstrapped Cauchy regressions. Results confirm the disruptive evolution of the Chinese road transport system over the course of the years and different expansion strategies at the regions. The energy and environmental efficiency of the Chinese road transportation system is affected by these contextual variables.

Rail Transport Delay and Its Effects on the Perceived Importance of a Real-Time Information.

Various psychological feelings that commuters might experience due to the shortcomings of a public transport are a major concern for transport policy makers. Those shortcomings would be translated into various negative psychological feelings, which would consequently tarnish the perceived quality of the public transport system in terms of its characteristics, e.g., the perceived quality of the passengers' information system (PIS). A delay has often been defined as the difference between the real arrival of a transport and the scheduled arrival of based on the PIS. The main question this study seeks to answer is how passengers view the PIS while undergoing various psychological negative impacts due to delay? This is especially important when the PIS is not precise. Previous studies on the importance of real-time information mainly focus on the impact of PIS on the satisfaction of commuters, or the reliability of the public transport. However, they rarely consider the negative psychological impacts that delays might have on commuters, and how those negative feelings might be aggravated by providing inaccurate information for the commuters. The proposed study is based on completed questionnaires by 396 passengers waiting for a rail transport in Malaysia; the rail transport was experiencing frequent long delays due to various mechanical malfunctions. In addition, the PIS provided for the passengers were mainly imprecise, and was updated regularly. The relationship between various considered variables, and a related latent factor, were formed by means of factor analysis. The results of internal consistency and validity highlight acceptable factors to be considered for a structural equation modeling (SEM) model. Three latent factors were found to impact the latent factor of PIS. For instance, it was found that the relationship between motion sickness factor and the response of PIS is not by a direct relationship between those two factors, but through the mediation of a latent physiological factor. On the other hand, the impact of the psychological feelings of the commuter by PIS is higher than its physiological effects. The results of this study have an important managerial implication for policy makers that even if the delay is inevitable, an accurate PIS could be provided to reduce the associated negative feelings of delay. Extensive discussion has been had about identification of a best fit model and process of model's parameters' estimation.

Dynamic wireless power transfer system for electric‐powered connected and autonomous vehicle on urban road network

This paper investigates the potential impacts of dynamic wireless power transfer (DWPT) systems on the urban road network with a particular focus on charging and energy consumption implications. The paper is motivated by the recent advancement of connected and autonomous vehicle (CAV) technology and innovations on smart transportation infrastructure. An eco-driving model aiming at energy consumption reduction is developed and a DWPT system layout suitable for charging eco-driving CAVs at a signalised intersection is proposed. The idea is demonstrated in a simulated environment with different market penetration rate (MPR) of CAVs travelling through a signalized intersection equipped with the proposed DWPT system. The results suggest that as MPR of CAV increases, the energy savings for both CAVs and human-driven vehicles (HVs) will increase significantly. At full MPR of CAVs, the reduction of average energy consumption of all types of vehicles can reach up to 62%. The average energy transferred and stored per battery electric vehicle can increase by up to 5% and 10%, respectively. These promising results indicate that a well-designed DWPT system layout together with the eco-driving behaviour of CAVs can have a positive impact on the urban transportation system in terms of resulting energy consumption and emissions.

Measuring the Impact of Brazilian Transport Systems on the 2030 Agenda Goals

This paper aims to propose indicators to measure Brazilian transport systems' impact on meeting the 2030 Agenda and to analyze advances of Brazilian transport systems in terms of sustainable development over the last decade. The proposed indicators were based on a literature review and data availability. Time series data (2010-2019) were obtained to analyze the situation of Brazil. From 27 proposed indicators, only 12 showed some evolution based on the before-after method, relating to improvements in cleaner transport modes, such as railways and waterways, in exclusive lanes for public transport, and in improving active transport infrastructure. This scenario presents Brazil's challenges over the next ten years to achieve the Sustainable Development Goals proposed by the 2030 Agenda. Results reinforce the importance of the transport sector to contribute to the world's sustainable development. Therefore, this paper contributes to improving the analysis hereafter of this thematic.

Estimation of tank-to-wheel efficiency functions based on type approval data

The representation of tank-to-wheel efficiency is for many modelling purposes simplified to a constant value. However, the relationship between tank-to-wheel efficiency and operational properties is not necessarily constant. As a result, situations with both favorable and unfavorable driving conditions will not be adequately represented in instruments for decision making. In this paper, we address this issue by estimating tank-to-wheel efficiency functions customized for use in transport and traffic modelling applications. The functions are estimated by sum of squares on aggregated data, with two different seed functions from a theoretical basis. The level of detail in the estimated functions provide more complexity for evaluations of transport systems in terms of energy and fuel usage, while avoiding too complex modelling of internal engine processes or vehicle specific type parameters. Data sets from vehicle type approval tests are used for the estimation process, and validation tests suggest that a tank-to-wheel efficiency function outperforms a constant value.

Dimensionality of an urban transport system based on ISO 37120 indicators for the case of selected European cities

Abstract The study aims to assess transport systems in terms of ISO 37120 indicators in selected European cities. Using the principal components analysis, the research identified significantly correlated variables associated with urban transport. Three principal components explained almost 87% of input data variability. The first principal component was mainly related to transportation fatalities, the second component — to the length of bicycle paths, and the third component — to the length of the network used by light passenger public transport. A strong correlation was found between the length of high capacity public transport and transportation fatalities. Furthermore, the analysis proved that the Aalter transport system was an outlier. The paper concludes by identifying several recommendations on the improvement of urban transport management and the development of low-carbon mobility systems.

NMR resonance assignments for the GSPII-C domain of the PilF ATPase from Thermus thermophilus in complex with c-di-GMP.

The natural transformation system of the thermophilic bacterium Thermus thermophilus is one of the most efficient DNA transport systems in terms of DNA uptake rate and promiscuity. The DNA transporter of T. thermophilus plays an important role in interdomain DNA transfer in hot environments. PilF is the traffic ATPase that provides the energy for the assembly of the DNA translocation machinery and the functionally linked type IV pilus system in T. thermophilus. In contrast to other known traffic ATPases, the N-terminal region of PilF harbors three consecutive domains with homology to general secretory pathway II (GSPII) domains. These GSPII-like domains influence pilus assembly, twitching motility and transformation efficiency. A structural homolog of the PilF GSPII-like domains, the N-terminal domain of the traffic ATPase MshE from Vibrio cholerae, was recently crystallized in complex with the bacterial second messenger c-di-GMP. In order to study the consequences of c-di-GMP binding on the three-dimensional architecture of PilF, we initiated structural studies on the PilF GSPII-like domains. Here, we present the 1H, 13C and 15N chemical shift assignments for the isolated PilF GSPII-C domain from T. thermophilus in complex with c-di-GMP. In addition, the structural dynamics of the complex was investigated in an {1H},15N-hetNOE experiment.