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A previous study proposed a driver-assistance system (DAS) using a haptic interface to encourage drivers to prepare for spontaneous deceleration behavior against potential collision risk. Driving simulator experiments showed that drivers’ reaction time were shortened while using the haptic DAS. However, there existed concerns regarding drivers’ risk compensation behavior while using the system. Therefore,...
Advanced driver assistance systems (ADASs), such as parking assist, are widely used. ADASs have successfully reduced driver’s workload. On the other hand, it is thought that it is important to improve the skill of the driver. The present study aims to establish a methodology for using an ADAS to achieve compatibility between decreasing the driver’s workload and increasing the driver’s skill. The present...
Unsuitable signalized intersection traffic lights control strategies lead to longer waiting time before vehicles driving through the signal intersections, and the long waiting time brings us many issues, such as traffic jams, more CO2 emissions. Hence how to reduce the waiting time becomes critical. In this paper, we propose a Markov chain based traffic flow evacuation model that aims at minimizing...
The Electric Vehicle (EV) has properties that can not only load but can elevate its value as a resource to the power system. An EV represents a high-power, fast-responding flexible demand unit, with an attached energy storage (battery) and the potential for bi-directional capabilities (V2G). These properties can be used in a number of power and energy services, which can support power system operation...
We propose an analysis method of driving behaviors based on large-scale and long-term vehicle recorder data to support fleet driver management by classifying drivers by their skill, safety, physical/mental fatigue, aggressiveness, and so on. Previous studies rely on precise data with small number of drivers, which are difficult to extrapolate to general drivers. In this study, we examine ability of...
It is vital for the transportation industry, which performs most of their work by automobiles, to reduce its number of traffic accidents. Many local governments in Japan have made potential risk maps of traffic accident spots. However, making such maps in wide areas and with the time information had been difficult because most of them are made based on an investigation. Utilizing long-term driving...
As an active traffic and demand management (ATDM) strategy that has been implemented for decades, speed harmonization may improve traffic flow by regulating traffic speed upstream of bottlenecks. In this paper, we propose a new speed harmonization strategy with a focus on environmental factors, called eco-speed harmonization (ESH). ESH takes advantage of individual vehicle's real-time information...
This study estimates the range of fuel and emissions impacts of an automated-vehicle (AV)-based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition,...
Last few years, smart city related projects are evolving rapidly and users are shifting from local servers to community data centers. Therefore, automotive markets are desperately in need of solutions that can improve safety of driving, security of vehicles as-well-as need to reduce the cost of ownership of an automobile. In this paper we specify, connected vehicle architecture solutions for both...
The current study investigates the effect of distracted-driving based on EEG coherence. Forty-two non-professional drivers were recruited to perform a distracted driving task while 128-EEG channels of EEG were simultaneously recorded. EEG coherence computed from 12 EEG electrode pairs based on 10–20 EEG international system, resulting in 66 connections for theta, alpha and beta frequency bands. Results...
This paper introduces a novel Human Machine Interface (HMI) that allows users to interact with a fleet of Automated Guided Vehicles (AGVs) used for logistics operations in industrial environments. The interface is developed for providing operators with information regarding the fleet of AGVs, and the status of the industrial environment. Information is provided in an intuitive manner, utilizing a...
Socio-technical systems are systems where autonomous humans and computational entities collectively collaborate with each other to satisfy their goals in a dynamic environment. To be resilient, such systems need to adapt to unexpected human behaviours and exogenous changes in the environment. In this paper, we describe a framework for the development of social-technical systems where adaptation is...
Socio-technical systems differ from typical MAS formulations in that efficiency of the system is not the only concern of the participating agents. Human attributes such as concern for social equity, lying and irrationality are also present, alongside the normal computation being undertaken by the agents. Typically, non-rational attributes are considered as noise and therefore not considered as important...
Electric vehicles represent a promising choice to decrease pollution and reducing fossil fuel consumption. However, their limited autonomy poses a challenge that prevents them from being suitable for many car users. Several practical solutions are sought to avoid this problem, in particular one may think of enhancing the battery capacity, reducing the charging time, or increasing the frequency of...
Over the course of a decade, the Bonneville Power Administration's Technology Innovation Office has developed a roadmapping approach that captures business challenges and opportunities critical to the agency, links these with barriers to success, and connects these with technical solutions and research questions. Senior leaders from across the agency establish strategic goals and objectives, and international...
We propose the use of an Extended Kalman Filter (EKF) for reliable state estimation in order to permit advanced control of the tip of a flying inverted pendulum while maintaining safety. We demonstrate the capabilities of an EKF in tandem with an accurate model to overcome bad or false data from a multiple camera motion capture system used for positioning.
This paper presents a method for generating three-dimensional paths for a vehicle with a bounded maximum curvature in both yaw and pitch rotations. We build upon the two-dimensional time-optimal path generation for constant speed vehicles with bounded steering that produces the socalled Dubins curves. We formulate a similar problem in three-dimensional space and solve it with the additional constraints...
Traffic jam in urban centers is a mobility problem responsible for significant economic losses and the degradation of the environment. However, a wide range of technologies, in particular, intelligent transportation systems, may be used to predict, identify and reduce vehicular traffic congestion. In this context, this work presents an Intelligent Traffic Information System (ITIS) which relies on...
The distributed sensor network can be implemented in transport applications. There is a lot of information in traffic that can be used as a source for certain detections. In this case we are using acoustic emissions of the traffic. The idea is to analyze the captured audio signal and to identify vehicles with prior right of way. Thanks to distributed network the data may be processed in traffic lights...
In this research simultaneous localization and mapping (SLAM) problem of unmanned systems which has emerged in last decade is identified by detecting SLAM algorithms particularly in air vehicle platforms and particle filter based SLAM implementation of aerial systems is first introduced as well. Regarding to survey consequences the variety of SLAM applications span from parametric filters such as...
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