Transportation Information System Research Articles

Geographic Information Systems for Transportation in the 21st Century

AbstractGeographic Information Systems for Transportation: Principles and Applications (Miller and Shaw) remains the only major authored text on the interdisciplinary field of Geographic Information Systems for Transportation (GIS‐T). However, Miller and Shaw () is a product of the 20th century, and the fields of GIS, transportation and GIS‐T have changed dramatically in the early 21st century. We are witnessing a revolution in transportation and urban sciences, fueled by a stunning advancement in capabilities to capture, store and process data, as well as communicate information and knowledge derived from these data. This paper is a review of GIS‐T in the 20th and 21st centuries. Using Miller and Shaw () as a touchstone, we discuss elements of GIS‐T that have stood the test of time as well as new technologies and ideas that an updated GIS‐T canon should include.

Models, methods and information technologies of protection of corporate systems of transport based on intellectual identification of threats

In article results of researches on development of methods and models of intellectual recognition of threats to information systems of transport. The article to contain results of the researches, allowing to raise level of protection of the automated and intellectual information systems of the transportation enterprises (AISTE) in the conditions of an intensification of transportations. The article to contain mathematical models and results of an estimation information systems having Internet connection through various communication channels. The article also considers the issues of research and protection of the AISTE under the condition of several conflict data request threads.

ITTS: Intelligent Transport and Tourism System

Vast amount of information is stored in the World Wide Web and search engines are able to extract information from the web based on the keywords issued by the users. Existing search engines are not able to provide a customized solution for the visitors or tourists who wish to know the information related to transport facility, places of visit in a city, items for purchase, lodging and restaurant details, etc. in a city. Hence, an intelligent transport and tourism information system is essential for facilitating the tourists or visitors. This system should be able to provide information such as lodging facilities available in a city, items to be purchased in a city in an efficient manner. In this paper, we have made efforts to propose the architecture for transport and tourism information system and also we have developed a prototype system named as Intelligent Transport and Tourism System (ITTS) in Hadoop environment.

Data Calibration Based on Multisensor Using Classification Analysis: A Random Forests Approach

This paper analyzes the problem of meaningless outliers in traffic detective data sets and researches characteristics about the data of monophyletic detector and multisensor detector based on real-time data on highway. Based on analysis of the current random forests algorithm, which is a learning algorithm of high accuracy and fast speed, new optimum random forests about filtrating outlier in the sample are proposed, which employ bagging strategy combined with boosting strategy. Random forests of different number of trees are applied to analyze status classification of meaningless outliers in traffic detective data sets, respectively, based on traffic flow, spot mean speed, and roadway occupancy rate of traffic parameters. The results show that optimum model of random forest is more accurate to filtrate meaningless outliers in traffic detective data collected from road intersections. With filtrated data for processing, transportation information system can decrease the influence of error data to improve highway traffic information services.

Навигационно-информационная система точного позиционирования транспорта с использованием наземной инфраструктуры ГЛОНАСС

Навигационно-информационная система точного позиционирования транспорта с использованием наземной инфраструктуры ГЛОНАСС

InKoPoMoVer – Cooperative Positioning for Real-time User Assistance and Guidance at Multi-modal Public Transit Junctions

AbstractThe study ‘Cooperative Positioning for Real-time User Assistance and Guidance at Multi-modal Public Transit Junctions’ (InKoPoMoVer) aims at a better understanding of passenger movement at multi-modal transit situations for providing improved passenger assistance and guidance. By using a novel Differential Wi-Fi (DWi-Fi) approach through intelligent Cooperative Positioning (CP), algorithms can be generated, which considerably increase the accuracy of person tracking, allowing for the derivation of movement patterns. Due to user support smoothly transit at the stations is enabled, thus the gap in current multimodal transport information systems where routing is not performed at the junction itself is closed. Addressing ethical and usability aspects will ensure user-friendly results. In this article, the concept of transit assistance is introduced followed by a comprehensive discussion of the suitable CP localization techniques and sensors as well as the implementation strategy.

3A21 Development of an integrated public transportation information system based in a railway station(Customer Environment)

As a solution to resolve the problems of the city such as traffic jam, a shift in the usage from privately-owned cars to public transport are pointed out, however the present situation is such that due to the lack of high convenience in using privately-owned cars or the improvement of the overall public transport in terms of convenience has caused few success cases. In light to this problem, with the purpose of convenience improvement of the public transport as a whole, an integrated information system of the railroad and buses was developed in order to provide the users with such information. An efficacy evaluation of the smartphone application with integrated information system was developed and tested in Kashiwa City of Chiba Prefecture from October 2013 to December 2013. The assessment and efficacy evaluation of the user and usage trends of the society during the testing period were obtained and reported.

Study on NTCIP-Based Architecture of Data Center for Transportation Information System in China

Data center, which is the basis for the development of transportation information, has the basic function of data storage, processing, data exchange and information sharing. In China, it is a preliminary stage of the design and construction for data center. Difficulties like effective data sharing and executive information service are still exist. In this paper, according to the transmission of data sharing and system architecture design of National Transportation Communications for ITS Protocol (NTCIP) in U.S., the mapping relation between NTCIP and data center architecture is analyzed. The NTCIP-based architecture of data center in transportation information system on freeway is proposed, combined with the information needs of the freeway in Jiangsu Province, China. This study can be used to provide a reference for the data center construction.

Passengers information in public transport and privacy: Can anonymous tickets prevent tracking?

Modern public transportation companies often record large amounts of information. Privacy can be safeguarded by discarding nominal tickets, or introducing anonymization techniques. But is anonymity at all possible when everything is recorded? In this paper we discuss travel information management in the public transport scenario and we present a revealing case study (relative to the city of Cesena, Italy), showing that even anonymous 10-ride bus tickets may betray a user's privacy expectations. We also propose a number of recommendations for the design and management of public transport information systems, aimed at preserving the users’ privacy, while retaining the useful analysis features enabled by the e-ticketing technology.

Modeling the Effects of Population Density on Prospect Theory-Based Travel Mode-Choice Equilibrium

In conventional transportation planning models, it was always assumed that the population density is given and fixed in the study areas. Therefore, the effects of population density on travel choice have not been explicitly incorporated into these existing models for long-term transportation planning. Meanwhile, travel choice models in previous studies are usually developed by using discrete choice theories or user equilibrium principle. Thus, many significant characteristics of travelers’ behaviors, such as risk preference and learning process over time, cannot be considered in these conventional models. This article proposes a convex prospect theory-based model to investigate the effects of population density on the travelers’ mode-choice behavior under an advanced transportation information system (ATIS) in a multimodal transportation corridor. It is shown that population density is closely co-related to the modal split results and dependent on the performance of the railway mode in the study corridor. The park-and-ride mode may not be suitable for areas with high population density. This article also investigates the travelers’ reference points on the generalized travel costs by modes. A numerical example is given to illustrate the properties of the proposed model together with some insightful findings.

Transport Information System using Query Centric Cyber Physical Systems (QCPS)

To incorporate the computation and communication with the physical world, next generation architecture i.e. CPS is viewed as a new technology. To improve the better interaction with the physical world or to perk up the electricity delivery usage, various CPS based approaches have been introduced. Recently several GPS equipped smart phones and sensor based frameworks have been proposed which provide various services i.e. environment estimation, road safety improvement but encounter certain limitations like elevated energy consumption and high computation cost. To meet the high reliability and safety requirements, this paper introduces a novel approach based on QCPS model which provides several users services (discussed in this paper). Further, this paper proposed a Transport Information System (TIS), which provide the communication with lower cost overhead by arranging the similar sensors in the form of grids. Each grid has a coordinator which interacts with cloud to process the user query. In order to evaluate the performance of proposed approach we have implemented a test bed of 16 wireless sensor nodes and have shown the performance in terms of computation and communication cost.

Framework for Dynamic OD Matrix Estimation Based on Multi-Source Traffic Data Fusion

The advanced transportation management and information systems (ATMIS) are strengthening the capability of collecting multi-source traffic data constantly from the road networks. Considering the fundamental role of dynamic Origin-Destination data for many advanced traffic management systems, it is promising to apply the multi-source traffic data to improve the dynamic OD estimation. Targeting dynamic OD data estimation, the classical OD data estimation approaches are discussed, and a framework of dynamic OD estimation based on multi-source traffic data is proposed and analyzed. Future researches are recommended in the end.

Combining Geographic Information Systems for Transportation and Mixed Integer Linear Programming in Facility Location-Allocation Problems

In this study, we aimed to assess the solution quality for location-allocation problems from facilities generated by the software TransCAD® , a Geographic Information System for Transportation (GIS-T). Such facilities were obtained after using two routines together: Facility Location and Transportation Problem, when compared with optimal solutions from exact mathematical models, based on Mixed Integer Linear Programming (MILP), developed externally for the GIS. The models were applied to three simulations: the first one proposes opening factories and customer allocation in the state of Sao Paulo, Brazil; the second involves a wholesaler and a study of location and allocation of distribution centres for retail customers; and the third one involves the location of day-care centers and allocation of demand (0 - 3 years old children). The results showed that when considering facility capacity, the MILP optimising model presents results up to 37% better than the GIS and proposes different locations to open new facilities.

Logistics Software from a Logistics Management and Management Information Systems (MIS) Perspective

The logistics profession has undergone severe changes over the last few decades, replacing muscle power with brain power. The virtual aspect of logistics has become equally important to the physical realm of transportation and warehousing. Supply Chain Management (SCM) deals with getting the right stuff to the right people at the right time in the right amount. To accomplish this task there are a number of more or less integrated logistics software application. Demand forecasting models based on historical data from data marts and data warehouses with built in seasonality and pricing models. Load planning software to appropriately palletize, containerize and load trucks and vessels. Route planning software with real time traffic and weather updates to reduce time and fuel costs. Electronic documents to accompany the shipment from purchase order, letter of credit to customs clearing and back-haul charges. Logistics software has many aspects and may be viewed differently from a software developer and user perspective. This study compares the perception of logistics software by management information systems (MIS) and logistics management students (Logistics) in Thailand. Some of the aspects include: user friendliness, ease of use, features and benefits, technical limitations.

Combined Filtering Model Using Voting Rule and Median Absolute Deviation for Travel Time Estimation

Abstract This study suggested combined filtering model to eliminate outlier travel time data in transportation information system, and it was based on Median Absolute Deviation and Voting Rule. This model applied Median Absolute Deviation (MAD) method to follow normal distribution as first filtering process. After that, Voting rule is applied to eliminate remaining outlier travel time data after Median Absolute Deviation. In Voting Rule, travel time samples are judged as outliers according to travel-time difference between sample data and mean data. Elimination or not of outliers are determined using a majority rule. In case study of national highway No. 3, combined filtering model selectively eliminated outliers only and could improve accuracy of estimated travel time.Keywords : Travel Time, Outlier Elimination, Filtering Model, Median Absolute Deviation, Voting Rule * 주저자 : 서울시립대학교 교통공학과 연구교수 ** 공저자 : 한국건설기술연구원 연구원 *** 공저자 : 한국건설기술연구원 연구위원**** 공저자 및 교신저자 : 서울시립대학교 교통공학과 교수†논문접수일 : 2013년 10월 21일†논문접수일 : 2013년 11월 11일†논문접수일 : 2013년 11월 22일

Benchmarking and Assessment of Good Practices in Public Transport Information Systems

Abstract The development of the Public Transport (PT) services in the last decade is characterized by wide implementation of various information systems and technologies, which cover different transport services, such as traffic planning, traffic network monitoring, management of operation of PT fleets, providing information to the passengers, ticketing payment, etc. The article considers the research part of a large EU-funded project POLITE aimed at public transport sector and increasing the awareness of infomobility services and PT attractiveness through the application of identified Good Practices and Best Practices. The objective of this paper is presentation of the methodology of benchmarking and assessment of Good Practices and choice of the best one on the basis of the multi-criteria comparative analysis. For assessment of Good Practices the AHP (Analytic Hierarchy Process) method is applied.

Appropriate Information System in Road Freight Transport Based on the Carriers' Requirements and Costs

The article is focused on the carriers' requirements and costs of the information systems in road freight transport. Based on the carriers' requirements for information and services as well as the costs of individual information systems, a recommended system or a combination of information systems, which are the most advantageous for carriers, is proposed.

Video-Based Traffic Flow Parameters Monitoring and Integrated Traffic Information System

Road traffic flow parameters are the important basic information for traffic safety management, traffic condition evaluation and decision-making. This project designs a video-based traffic flow parameters monitoring terminal (ITS monitoring terminal), which is based on MENLOW embedded platform and expands its hardware and software resources. CCD cameras are used to capture image in video sequences in traffic environment. Image processing and analysis technologies are used to track vehicles and analyze the vehicle conditions in real time, and a vision measurement model which computes the traffic flow parameters, such as length, width, speed, distance between two vehicles, traffic flow density, and occupancy ratios, etc. is constructed. Furthermore, BP neural network is used to classify vehicles. ITS terminals interconnected with each other through public network or private network (optical ring network of transport agency, WLAN, Internet, and 3G) and connected with monitoring center of transport agency, which achieves dynamic data exchange and share among ITS terminals. It realized a wide-area distributed and integrated transport information system which synthesizes transport information guidance, traffic tracking; condition evaluation, decision-making, and real time transport information release.

The Emerging Importance of a Mobility Strategy for South African Cities with GoMetro as a Case-Study

South Africa has an unsustainably high level of private vehicles and vehicle-kilometres, yet there is still no real visible shift to public transport in the urban areas. Public transport does not appear to be an attractive option for private vehicle users, as operations are perceived to be unreliable and not on-par with the experience of private vehicle users. Even when a mode is both comfortable and reliable, private vehicle users exhibit extreme inertia to transfer to public transport. At the same time that our transport systems are moving in unsustainable directions, there has been a significant adoption of mobile phones by the general populace. Tracking this proliferation of mobile devices has been an exponential improvement in the processing power, user experience and sensing abilities of mobile phones. We are starting to see transport systems being impacted by this massive increase in the collective processing power of a city. It is thus now worth considering a paradigm shift as to how public transport systems are configured to incorporate the potential that mobile phones and their mass adoption present to urban transport systems.“Mobility” is defined in this paper as the use of mobile technology in order to create an Informational Decision-Making Layer above the Hard Infrastructure of transport systems, as well as the Operational Layer of vehicles and operations. As part of this “Mobility” paradigm shift, the author has conceptualized, designed, developed, implemented and operates GoMetro, a large-scale mobile web-based public transport information system for Metrorail operations in South Africa. The paper the author would like to submit will seek to answer the following questions:•With the increase in mobile phone penetration, and the collective processing power of an urban environment – is it time to rethink the traditional transport model consisting of a Way and a Vehicle?•What is Mobility? And what is a Mobility Strategy?•How does Mobility compare to traditional communication channels?•How do commuters interact with their mobile devices while commuting?•Is there a Business Case for operators and agencies to implement a Mobility Strategy? If implemented, what are some lessons learnt from GoMetro?•What is the social benefit of Mobility to an urban transport system?

Identifying FDOT’s Physical Transportation Infrastructure Vulnerable to Sea Level Rise

The objective of this research was to integrate current data sources to develop a methodology for assessing and mitigating the potential impacts of sea level rise (SLR) on Florida’s transportation infrastructure to assist transportation planning. The proposed approach integrates the Florida Department of Transportation (FDOT) information system with existing topographical and geological data to facilitate (1) the evaluation of current and projected SLR impacts on Florida’s coastline and low-lying terrain areas, and (2) the identification of the physical transportation infrastructure that is most likely to be affected by frequent to continuous flooding because of SLR so that solutions could be sought. The projection of SLR, and the timing for the same, was outlined using a benchmark approach that brackets time intervals as opposed to specific timing for improvements. Further research to evaluate the impact of sea level rise on ponding and storm surge is a future, more difficult area of investigation.