Reliability Of Transportation System Research Articles

AN AUTOMATED RAILWAY STATION TRAFFIC CONTROL SYSTEM

Majority of accidents experienced with railway transportation involve collision with automobiles or other vehicles and collision with other trains. These collisions can be averted by putting safety measures in place. Part of the measures can be achieved by using computerized railway station traffic control systems that use microcontrollers and electromechanical devices to shift traffic from one rail lane to another and also to operate the level crossing gate. The two major stages of the system being described here are thus the track switching stage and the level crossing gate stage. The system makes use of microcontrollers for decision making. The microcontrollers are programmed to detect signals from sensors and to output the processed signals to control electromagnetic devices through motor drivers. The codes for the microcontrollers were written in PIC Basic programming language and were debugged and compiled using Micro Code Studio Integrated Development Environment. The resultant Hex files were programmed into the memory of the microcontrollers with the aid of a universal programmer. Software simulation was carried out using the Proteus virtual system modeling software. A scaled down prototype of the system was built and tested. The prototype was able to execute all the decisions required to control the given railway station. A practical real life system would require the scaling up of the power required to drive the various motors; the logic of the system would however remain unchanged. The inclusion of the automated traffic control lighting system at the level crossing gate in the system eliminates the fatigue and tedium associated with a manually controlled traffic system. The computerized railway station traffic control system which helps in track switching and level crossing gate traffic control is capable of improving reliability, speed, operational safety and efficiency of the railway transportation system.

Urban Transport System Reliability Indicators

Abstract In 2014–2015, the Transport Laboratory of the National Research Irkutsk State Technical University (TL-ISTU) participated in development of the Federal Methodological Guidelines “Quality Evaluation of Traffic Management”. This article represents a number of suggestions in the framework of the document in development. As follows from the analysis of special periodicals and literature as well as considering the onrush of geoinformation technology, the following quantitative criteria have been chosen to assess reliability: time index, Herman–Prigogine criterion; buffer time. In this context, time index is offered to be used for comparative analysis of functioning reliability of transport systems in different cities. Based on these inspections (about 600 tracks in Irkutsk), rating scales of the chosen criteria have been offered.

Automatic road traffic safety management system in urban areas

Traffic incidents and accidents contribute to decreasing levels of transport system reliability and safety. Traffic management and emergency systems on the road, using, among others, automatic detection, video surveillance, communication technologies and institutional solutions improve the organization of the work of various departments involved in traffic and safety management. Automation of incident management helps to reduce the time of a rescue operation as well as of the normalization of the flow of traffic after completion of a rescue operation, which also affects the reduction of the risk of secondary accidents and contributes to reducing their severity. The paper presents the possibility of including city traffic departments in the process of incident management. The results of research on the automatic incident detection in cities are also presented.

RELIABILITY AND RISK OPTIMIZATION OF MULTISTATE SYSTEMS WITH APPLICATION TO PORT TRANSPORTATION SYSTEM

The complexity of technical systems’ operation processes and its influence on the changing in time systems’ structures and their components’ reliability parameters posses a difficulty to first meet in real and then to fix and analyse those structures and reliability parameters. By constructing a joint model of reliability of complex technical systems at variable operation conditions, which links a semimarkov modelling of system operation processes with multi-state approach to system reliability analysis, we find the system’s main reliability characteristics. Consequently, we use linear programming to build a model of complex technical systems reliability optimization. We investigate the model’s application in marine transport, specifically in reliability and risk optimization of a bulk cargo transportation system. The tools we develop can be used in reliability evaluation and optimization of a very wide class of real technical systems operating at varying conditions that influence their reliability structures and the reliability parameters of their components. Consequently, the tools we developed can be implemented by reliability practitioners from both maritime transport industry and other industrial sectors.

Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

This study provides an applied framework to derive the connectivity reliability and vulnerability of inter-urban transportation systems under network disruptions. The proposed model integrates statistical reliability analysis to find the reliability and vulnerability of transportation networks. Most of the modern research in this field has focused on urban networks where the primary concerns are guaranteeing predefined standards of capacity and travel time. However, at a regional and national level, especially in developing countries, the connectivity of remote populations in the case of disaster is of utmost importance. The applicability of the framework is demonstrated with a case study in the state of Antioquia, Colombia, using historical records from the 2010 to 2011 rainy season, an aspect that stands out and gives additional support compared to previous studies that considers simulated data from assumed distributions. The results provide significant insights to practitioners and researchers for the design and management of transportation systems and route planning strategies under this type of disruptions.

ФАКТОР ВРЕМЕНИ В ОЦЕНКЕ И ОБЕСПЕЧЕНИИ НАДЕЖНОСТИ ТРАНСПОРТНЫХ СИСТЕМ

ФАКТОР ВРЕМЕНИ В ОЦЕНКЕ И ОБЕСПЕЧЕНИИ НАДЕЖНОСТИ ТРАНСПОРТНЫХ СИСТЕМ

Improved reliability of public transportation using real-time transfer synchronization

Service reliability of public transportation (PT) systems is a dominant ingredient in what is perceived as the PT image. Unreliable service increases the uncertainties of simultaneous arrivals of vehicles at a transfer point. Implementing proper control actions leads to preventing missed transfers, one of the undesirable features of PT service and a major contributor to a negative image. The present work focuses on performance measurements of a PT system offering direct transfers on multi-legged trips. The method developed evaluates and improves system performance by applying selected operational tactics in real-time scenarios. In order to investigate the efficiency level of the PT system, five types of vehicle positional situations with reference to a transfer point are considered: considerably ahead of schedule, ahead of schedule, on schedule, behind schedule, and considerably behind schedule. Each situation contributes differently to the degree of system performance. The optimization framework developed results in selected operational tactics to attain the maximum number of direct (without waiting) transfers and minimize total passenger travel time. The implementation of the concept is performed in two steps: optimization and simulation. The optimization process searches for the best operational tactics, using the states of the five vehicle-position types, and the simulation serves to validate the optimal results under a stochastic framework using the concept of a multi-agent system. A case study of Auckland, New Zealand, is described for assessing the methodology developed. Results showed a 58% improvement in the system performance index compared to no-tactic operations.

列車制御システムの安全性信頼性向上のためのアプローチ(交通システムの安全性・信頼性)

列車制御システムの安全性信頼性向上のためのアプローチ(交通システムの安全性・信頼性)

Transport resilience and vulnerability: The role of connectivity

This paper aims to adopt a critical stance on the relevance and interpretation of the recently emerging concepts of resilience and vulnerability in transportation studies. It makes a clear distinction between engineering and ecological interpretations of these concepts and offers a systematic typology of various studies in this field. A core element in the study is the linkage between the aforementioned concepts and connectivity/accessibility in transport networks. The methodological findings in the study are put in perspective by addressing also such concepts as robustness, reliability and friability of transport systems.

On the Safety of Mixed Operation of RNP AR and ILS Approach Procedures on a Single Runway(Safety and Reliability of Transportation Systems)

On the Safety of Mixed Operation of RNP AR and ILS Approach Procedures on a Single Runway(Safety and Reliability of Transportation Systems)

Framework of Safety and Reliability in the Air Transportation System(Safety and Reliability of Transportation Systems)

Framework of Safety and Reliability in the Air Transportation System(Safety and Reliability of Transportation Systems)

Standard Time and GNSS : The Basis of Reliability of Transportation and Society(Safety and Reliability of Transportation Systems)

Standard Time and GNSS : The Basis of Reliability of Transportation and Society(Safety and Reliability of Transportation Systems)

Follow-up Research on Effects of Training with Ship Maneuvering Simulator(Safety and Reliability of Transportation Systems)

Follow-up Research on Effects of Training with Ship Maneuvering Simulator(Safety and Reliability of Transportation Systems)

Driver Assistance Technology Collaborating with Humans(Safety and Reliability of Transportation Systems)

Driver Assistance Technology Collaborating with Humans(Safety and Reliability of Transportation Systems)

Marine Traffic Safety Planning Using Ship Trajectory Data(Safety and Reliability of Transportation Systems)

Marine Traffic Safety Planning Using Ship Trajectory Data(Safety and Reliability of Transportation Systems)

Data Mining in E-Governance Models and Applications

In today’s highly competitive environment, green logistics issues are gaining high attention. Since it is an important part of supply chain management and plays an important role in the improvement of transport system. Logistics facilitates in getting products and services as and when they are needed and desired to the customer. It serves as a major enabler of growth of trade and commerce in an economy because it is helpful in economic transactions. The American Council of Logistics Management defines logistics as “the process of planning, implementing and controlling the efficient, cost effective flow and storage of raw materials, in-process inventory, finished goods and related information from point of origin to point of consumption for the purpose of meeting the customers requirements. Contemporary technological developments have improved the cost, efficiency and reliability of freight and passenger transport systems. At the same time, the negative environmental impacts of transportation have gained wide recognition and are at the core of issues of sustainability, especially in urban areas. Since the applications of logistics are generally positive for the efficiency of transport systems, it has been suggested that logistics should be environmentally friendly, thus the concept of “green logistics”. This paper will investigate the issue of green logistics and the environmental impacts it creates. This paper analyses how logistics managers could lead the initiative in this area by incorporating environmental management principles in to their daily decision-making process so that sustainable development could be achieved.

Social Network Services for Rail Traffic Applications

With the rapid development of high-speed railway, subway, city railway, and intercity rail, how to ensure the reliability, safety, and comfort of such rail traffic transportation systems becomes the focus. Meanwhile, the social network service (SNS) is advancing so fast all over the world. How to combine the characteristics of rail traffic transportation systems with that of the social networks, which enable them to play an important role in the rail traffic operations, will become one of the core problems in the future development of intelligent rail traffic transportation systems. Based on the business requirements, the reliable transmission of information, and the characteristics of the rail traffic transportation systems, this article proposes a new concept of "dedicated social network" whose information are exchanged within the internal intranet. A novel social network architecture for rail traffic transportation system is proposed, including the SNS Management Center, a dedicated social network for internal information exchanges among the drivers, the dispatchers, and the train control center, the SNS for the information exchanges among the train marshals, crews, and passengers. The proposed framework attempts to exploit social networks in an active manner in the field of rail traffic transportation systems to make the system safer, more secure, reliable, comfortable, and humane.

Hydraulic System Reliability Analysis of Slurry Transportation Based on Stochastic Failure Petri Net

As the development of the slurry pipeline transportation system complexity and intelligent,it is more difficult to establish the reliability of the system.This pape take advantage of the descriptions of dynamic systems of stochastic failure petri net,applying in the field of slurry pipeline transport system reliability analysis.At same time,with the combination of Markov theory, it established the model of the hydraulic system reliability analysis.The feasibility and availability of the method is proved through an example of hydraulic system of slurry pipeline transportation.

Estimation of bus dwell time using univariate time series models

SummaryA significant proportion of bus travel time is contributed by dwell time for passenger boarding and alighting. More accurate estimation of bus dwell time (BDT) can enhance efficiency and reliability of public transportation system. Regression and probabilistic models are commonly used in literatures where a set of independent variables are used to define the statistical relationship between BDT and its contributing factors. However, due to technical and monetary constraints, it is not always feasible to collect all the data required for the models to work. More importantly, the contributing factors may vary from one bus route to another. Time series based methods can be of great interest as they require only historical time series data, which can be collected using a facility known as automatic vehicle location (AVL) system. This paper assesses four different time series based methods namely random walk, exponential smoothing, moving average (MA), and autoregressive integrated moving average to model and estimate BDT based on AVL data collected from Auckland. The performances of the proposed methods are ranked based on three important factors namely prediction accuracy, simplicity, and robustness. The models showed promising results and performed differently for central business district (CBD) and non‐CBD bus stops. For CBD bus stops, MA model performed the best, whereas for non‐CBD bus stops, ARIMA model performed the best compared with other time series based models. Copyright © 2014 John Wiley & Sons, Ltd.

Research on Reliability of Urban Agglomeration Transport System after a Disaster

In view of the phenomenon that the affected area is broader, more severe losses and more difficult to relief in the urban agglomeration after major natural disasters,it is proposed that transport system reliability calculation method which based on BP neural network model.First of all,analyze the urban transport system network after a disaster, using the weight contribution rate analysis method to extract the key nodes in the network; Second, re-integrating the extracted nodes and establishing a new road network model which based on BP neural network;Then, using the cut set algorithm computing network reliability, and combined with the extent of damage of the road network after a disaster, putting forward the calculation method of urban agglomeration road network reliability after disasters; Finally, for example as changsha-zhuzhou-xiangtan urban agglomeration, examining the authenticity of the method.