GREY STATISTICS METHOD OF TECHNOLOGY SELECTION FOR ADVANCED PUBLIC TRANSPORTATION SYSTEMS

Taiwan is involved in intelligent transportation systems planning, and is now selecting its prior focus areas for investment and development. The high social and economic impact associated with which intelligent transportation systems technology are chosen explains the efforts of various electronics and transportation corporations for developing intelligent transportation systems technology to expand their business opportunities. However, there has been no detailed research conducted with regard to selecting technology for advanced public transportation systems in Taiwan. Thus, the present paper demonstrates a grey statistics method integrated with a scenario method for solving the problem of selecting advanced public transportation systems technology for Taiwan. A comprehensive questionnaire survey was conducted to demonstrate the effectiveness of the grey statistics method. The proposed approach indicated that contactless smart card technology is the appropriate technology for Taiwan to develop in the near future. The significance of our research results implies that the grey statistics method is an effective method for selecting advanced public transportation systems technologies. We feel our information will be beneficial to the private sector for developing an appropriate intelligent transportation systems technology strategy. Document type: Articl

A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks

One of the key ideas to make Intelligent Transportation Systems (ITS) work effectively is to deploy advanced communication and cooperative control technologies among the vehicles and road infrastructures. In this spirit, we propose a consensus-based distributed speed advisory system that optimally determines a recommended common speed for a given area in order that the group emissions, or group battery consumptions, are minimised. Our algorithms achieve this in a privacy-aware manner; namely, individual vehicles do not reveal in-vehicle information to other vehicles or to infrastructure. A mobility simulator is used to illustrate the efficacy of the algorithm, and hardware-in-the-loop tests involving a real vehicle are given to illustrate user acceptability and ease of the deployment.Comment: This is a journal paper based on the conference paper "Highway speed limits, optimised consensus, and intelligent speed advisory systems" presented at the 3rd International Conference on Connected Vehicles and Expo (ICCVE 2014) in November 2014. This is the revised version of the paper recently submitted to the IEEE Transactions on Intelligent Transportation Systems for publicatio

Towards Developing a Travel Time Forecasting Model for Location-Based Services: a Review

Travel time forecasting models have been studied intensively as a subject of Intelligent Transportation Systems (ITS), particularly in the topics of advanced traffic management systems (ATMS), advanced traveler information systems (ATIS), and commercial vehicle operations (CVO). While the concept of travel time forecasting is relatively simple, it involves a notably complicated task of implementing even a simple model. Thus, existing forecasting models are diverse in their original formulations, including mathematical optimizations, computer simulations, statistics, and artificial intelligence. A comprehensive literature review, therefore, would assist in formulating a more reliable travel time forecasting model. On the other hand, geographic information systems (GIS) technologies primarily provide the capability of spatial and network database management, as well as technology management. Thus, GIS could support travel time forecasting in various ways by providing useful functions to both the managers in transportation management and information centers (TMICs) and the external users. Thus, in developing a travel time forecasting model, GIS could play important roles in the management of real-time and historical traffic data, the integration of multiple subsystems, and the assistance of information management. The purpose of this paper is to review various models and technologies that have been used for developing a travel time forecasting model with geographic information systems (GIS) technologies. Reviewed forecasting models in this paper include historical profile approaches, time series models, nonparametric regression models, traffic simulations, dynamic traffic assignment models, and neural networks. The potential roles and functions of GIS in travel time forecasting are also discussed.

Evaluating the Presence of In-Vehicle Devices on Driver Performance: Methodological Issues

A central concern of Intelligent Transportation Systems (ITS) is the effect of in-vehicle devices (e.g. cell phones, navigation systems, radios) on driver performance and safety. As diverse and innovative technologies are designed and implemented for in-vehicle use, questions regarding the presence and use of these devices assume progressively greater importance. Concern for the safety of advanced driver training and require us to develop and validate reliable and effective procedures for assessing such effects. This work examines a number of candidate procedures, in particular the evaluation of cognitive workload as a strategy by which such goals might be achieved

Rider Assist Technologies: Popular Types, Motivations for Use, and Information Sources Consulted by Users

The ubiquity of advanced in-vehicle technologies for cars highlights the relative scarcity of comparable offerings for motorcycles despite the fact that many can be adapted for this mode of transportation. Aspects of Intelligent Transport Systems (ITS) such as advanced rider assist technologies may increase the safety of motorcyclists. In this study, we surveyed motorcycle riders about the types of advance technologies their current bikes were equipped with, as well as, the primary motivation for purchasing the technology, and how they learned to use the technologies (if applicable). The most frequently reported technologies owned by riders were handle bar controls, engine brake controls, and cruise control. The primary motivation reported for using the technology was increased safety and improved riding capabilities. The riders were more likely to consult online resources (e.g., YouTube) instead of the manufacturer’s materials when learning about the advanced features of their bikes. While the accessibility of the information makes it easy to reference, the lack of standardization and validity of the online content could contribute to the potential misuse of the technology

Man-Machine Integration Design and Analysis System (MIDAS) v5: Augmentations, Motivations, and Directions for Aeronautics Applications

As automation and advanced technologies are introduced into transport systems ranging from the Next Generation Air Transportation System termed NextGen, to the advanced surface transportation systems as exemplified by the Intelligent Transportations Systems, to future systems designed for space exploration, there is an increased need to validly predict how the future systems will be vulnerable to error given the demands imposed by the assistive technologies. One formalized approach to study the impact of assistive technologies on the human operator in a safe and non-obtrusive manner is through the use of human performance models (HPMs). HPMs play an integral role when complex human-system designs are proposed, developed, and tested. One HPM tool termed the Man-machine Integration Design and Analysis System (MIDAS) is a NASA Ames Research Center HPM software tool that has been applied to predict human-system performance in various domains since 1986. MIDAS is a dynamic, integrated HPM and simulation environment that facilitates the design, visualization, and computational evaluation of complex man-machine system concepts in simulated operational environments. The paper will discuss a range of aviation specific applications including an approach used to model human error for NASA s Aviation Safety Program, and what-if analyses to evaluate flight deck technologies for NextGen operations. This chapter will culminate by raising two challenges for the field of predictive HPMs for complex human-system designs that evaluate assistive technologies: that of (1) model transparency and (2) model validation

Towards Improving Road Safety using Advanced Vehicular Networks

Vehicular Ad-hoc Networks (VANETs) are advanced network technologies applied to improve safety on roads and to offer suitable solutions for Intelligent Transportation Systems (ITS). The goal of VANETs is to assistdrivers and to act as a smart co-pilot that can alret about accidents and help avoiding them while prodivding high-end infotainment systems for both the driver and passengers. Consequently, VANETs can save millions of lives around the world, especially in Saudi Arabia, which has a very high rate of road accidents annualy. In this paper, we introduce and discuss VANETs, related routing protocols, challenging problems, and the existing solutions. This work is a part of a bigger project that aims to enhance VANETs technologies and to updapteITS to significantly promote road safety in general and Saudi Arabia’s roads in particular

Intelligent Transport Systems in Commercial Vehicle Operations

Intelligent Transportation Systems (ITS) is the application of computers, communications and sensor technology to improve the efficiency or safety of surface transportation systems. The ITS initiative has been taken up by most developed countries including US, Canada, Australia and the European Union. This paper introduces ITS and its vision to save time, money and human lives. ITS can be applied to the entire spectrum of the transportation industry. This includes Freeway, Incident & Emergency Management, Electronic Toll Collection, Arterial Management, Travelers Information Systems, Advanced Public Transportation Systems, Commercial Vehicle Operations, etc. However the primary focus in this paper is on introducing the application of ITS technologies in the realm of Commercial Vehicle Operations (CVO). The paper covers the three major capability areas namely safety information exchange, electronic screening and electronic credentialing, giving details on the ongoing initiatives and the different technologies applied in the respective areas as well as the benefits offered by the same. The ITS initiative has caught up in a big way in the United States. The U.S. Department of Transportation (U.S. DOT) has sponsored and undertaken a program called Commercial Vehicle Information Systems and Networks (CVISN) Model Deployment Initiative (MDI). The goal of the CVISN initiative has been to assist each state in US to achieve ambitious but achievable level of deployment of ITS technology in all the three areas of commercial vehicle operations by establishing an organizational framework among state agencies and motor carriers for cooperative system development and creating a CVISN design architecture which can evolve and accommodate new technologies