Special Issue on Innovative Robotics and Mechatronics Technology of Modern Passenger Cars for Zeroing Traffic Accidents

2020 ◽  
Vol 32 (3) ◽  
pp. 483-483
Author(s):  
Hidehisa Yoshida ◽  
Pongsathorn Raksincharoensak
Keyword(s):  
Traffic Accidents ◽  
Driver Assistance System ◽  
Special Issue ◽  
Driver Assistance ◽  
Automated Driving ◽  
Passenger Cars ◽  
The Past ◽  
Advanced Technologies ◽  
The Government ◽  
Near Future

The Science Council of Japan’s 2008 Report, “Aiming for a Zero Traffic Accidents Society,” states that “it is necessary to establish various driver assistance technologies based on the fact that most drivers make mistakes”; “for advanced driver assistance system (ADAS) technologies, cooperation between human operation and machine assistance, and social acceptability need to be evaluated”; and “new driver assistance by introduction of robotics technology and application of automated driving in specific operating domain should be considered in the near future.” A wide array of robotic technologies is expected to contribute to developing intelligent and advanced technologies for passenger and transport vehicles, as well as creating a rich future for the transportation of people and logistics. Over the past decade, researchers and engineers have attempted to achieve these goals. In 2015, the government announced a policy to make practical use and deployment of automated driving technologies by the year of Tokyo Olympics and Paralympics. Now, looking toward the Tokyo Olympics and Paralympics, we organized a special issue of the JRM: “Innovative Robotics and Mechatronics Technology of Modern Passenger Cars for Zeroing Traffic Accidents.” This special issue features 16 papers carefully written and reviewed by field specialists. We express our heartfelt appreciation to the authors and reviewers who have contributed their expertise to this issue. We would also like to thank the members of the Journal of Robotics and Mechatronics board for giving us the unique opportunity to coordinate this issue.

Preface to the Special Issue on Human Factors and Advanced Vehicle Automation: Of Benefits, Barriers, and Bridges to Safe and Effective Implementation

2020 ◽  
Vol 62 (2) ◽  
pp. 189-193
Author(s):  
William J. Horrey ◽  
John D. Lee
Keyword(s):  
Human Factors ◽  
Experimental Studies ◽  
Special Issue ◽  
Automated Driving ◽  
Effective Implementation ◽  
Different Types ◽  
Vehicle Technology ◽  
Vehicle Automation ◽  
Vehicle Technologies ◽  
Near Future

Objective The aim of this special issue is to bring together the latest research related to driver interaction with various types of vehicle automation. Background Vehicle technology has undergone significant progress over the past decade, bringing new support features that can assist the driver and take on more and more of the driving responsibilities. Method This issue is comprised of eight articles from international research teams, focusing on different types of automation and different user populations, including driver support features through to highly automated driving systems. Results The papers comprising this special issue are clustered into three categories: (a) experimental studies of driver interactions with advanced vehicle technologies; (b) analysis of existing data sources; and (c) emerging human factors issues. Studies of currently available and pending systems highlight some of the human factors challenges associated with the driver–system interaction that are likely to become more prominent in the near future. Moreover, studies of more nascent concepts (i.e., those that are still a long way from production vehicles) underscore many attitudes, perceptions, and concerns that will need to be considered as these technologies progress. Conclusions Collectively, the papers comprising this special issue help fill some gaps in our knowledge. More importantly, they continue to help us identify and articulate some of the important and potential human factors barriers, design considerations, and research needs as these technologies become more ubiquitous.

The Effect of Augmented Reality Cues on Glance Behavior and Driver-Initiated Takeover on SAE Level 2 Automated-Driving

2021 ◽  
Vol 65 (1) ◽  
pp. 1342-1346
Author(s):  
Nayara de Oliveira Faria ◽  
Coleman Merenda ◽  
Richard Greatbatch ◽  
Kyle Tanous ◽  
Chihiro Suga ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Situation Awareness ◽  
Driver Assistance System ◽  
User Study ◽  
Driving Simulator ◽  
Autonomous Vehicle ◽  
Driver Assistance ◽  
Automated Driving ◽  
The Relationship ◽  
Level 2

In the present paper, we present a user study with an advanced-driver assistance system (ADAS) using augmented reality (AR) cues to highlight pedestrians and vehicles when approaching intersections of varying complexity. Our major goal is to understand the relationship between the presence and absence of AR, driver-initiated takeover rates and glance behavior when using a SAE Level 2 autonomous vehicle. Therefore, a user-study with eight participants on a medium-fidelity driving simulator was carried out. Overall, we found that AR cues can provide promising means to increase the system transparency, drivers’ situation awareness and trust in the system. Yet, we suggest that the dynamic glance allocation of attention during partially automated vehicles is still challenging for researchers as we still have much to understand and explore when AR cues become a distractor instead of an attention guider.

scholarly journals An Interacting Multiple Model Approach for Target Intent Estimation at Urban Intersection for Application to Automated Driving Vehicle

2020 ◽  
Vol 10 (6) ◽  
pp. 2138 ◽  
Author(s):  
Donghoon Shin ◽  
Subin Yi ◽  
Kang-moon Park ◽  
Manbok Park
Keyword(s):  
Traffic Accidents ◽  
Estimation Algorithm ◽  
Driver Model ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Driver Assistance ◽  
Automated Driving ◽  
Driver Assistance Systems ◽  
Assistance Systems ◽  
Model Approach

Research shows that urban intersections are a hotspot for traffic accidents which cause major human injuries. Predicting turning, passing, and stop maneuvers against surrounding vehicles is considered to be fundamental for advanced driver assistance systems (ADAS), or automated driving systems in urban intersections. In order to estimate the target intent in such situations, an interacting multiple model (IMM)-based intersection-target-intent estimation algorithm is proposed. A driver model is developed to represent the driver’s maneuvering on the intersection using an IMM-based target intent classification algorithm. The performance of the intersection-target-intent estimation algorithm is examined through simulation studies. It is demonstrated that the intention of a target vehicle is successfully predicted based on observations at an individual intersection by proposed algorithms.

Safe and optimal lane-change path planning for automated driving

2020 ◽  
pp. 095440702091373
Author(s):  
Yang Ding ◽  
Weichao Zhuang ◽  
Liangmo Wang ◽  
Jingxing Liu ◽  
Levent Guvenc ◽  
...  
Keyword(s):  
Driver Assistance System ◽  
Travel Distance ◽  
Lane Change ◽  
Change Model ◽  
Longitudinal Displacement ◽  
Driver Assistance ◽  
Automated Driving ◽  
Lateral Velocity ◽  
Quintic Polynomial ◽  
Reference Trajectories

This paper proposes an integrated lane-change trajectory planning method for advanced driver assistance system of connected and automated vehicles. First, the time-based quintic polynomial automated lane-change model is presented, which could adjust longitudinal and lateral velocity simultaneously. By tuning the lane-change duration and longitudinal displacement in the lane-change model, the lane-change reference trajectories satisfying the demands of safety, lane-change duration, travel distance, and comfort were derived under traffic-free condition. All feasible reference trajectories compose a trajectory map, which includes different driving situations, such as quick and comfortable or sudden and safe lane change. Second, the lane-change constraints induced by surrounding vehicles are introduced. The effects of surrounding vehicles on the lane-change performance are investigated by adjusting the speeds and initial gaps of preceding and rear vehicles. In addition, the initial velocity of the host vehicle is optimized to maximize the area of the trajectory map to enable a safer lane change. Finally, within the derived trajectory map, an optimal lane-change trajectory eliminating potential collisions is calculated by minimizing the lane-change duration, travel distance, driving comfort, and fuel consumption.

scholarly journals Autonomous Region in Muslim Mindanao – Bangsamoro Republic

2019 ◽  
pp. 65-73
Author(s):  
Daria Panarina ◽  
Kirill Petrov
Keyword(s):  
The Philippines ◽  
Successful Implementation ◽  
The Past ◽  
Peace Negotiations ◽  
The Republic ◽  
The Government ◽  
Southern Island ◽  
Terrorist Acts ◽  
Near Future ◽  
First Time

Since XV-th century, when first Muslim state has been formed at Mindanao island in the south of the Philippines, practically two very different societies had to co-exist on the territory of the country: Muslims and Filipinos. It created a problem ad numerous conflicts which have not been solved so far. The aggravation between the Filipinos and the inhabitants of the southern island of Mindanao, which occurred in the XX-th century, led to a series of peace negotiations and attempts to reach political consensus. The idea of creating an autonomous territory in Mindanao within the framework of the Republic of the Philippines was framed in the form of a law, repeatedly elaborated, implemented, but without much success. Over the past 22 years, disagreements and a threat to the security of the region preserved, and strong tensions remained between the government of the Philippines and the Islamic leaders of Mindanao. When President Duterte came to power, another attempt was made to resolve this conflict, and for the first time in many years, a law was ratified based on the results of the plebiscite. This law can become the basis for the successful implementation of the idea of autonomy of Mindanao. However, it should be noted that in the near future the likelihood of armed clashes, provocations and serious terrorist acts by the forces of extremist groups in Mindanao is quite high.

scholarly journals Smart Driver Assistance System for Accident Forestalling

2019 ◽  
Vol 9 (1S) ◽  
pp. 111-113
Keyword(s):  
Traffic Accidents ◽  
Driver Assistance System ◽  
Focal Point ◽  
Family Members ◽  
Modern Technology ◽  
Assistance System ◽  
Driver Assistance ◽  
Alert Message ◽  
The Status

Traffic accidents that happenedaround the worldare increasing a lot. If modern technology is incorporated within vehicle to find the status of the driving person at regular intervals and assist driver about sign boards so that the driver would not lose focal point. The sign board is monitored by using webcam and the text from the image is converted into audio and it directs the driving person. This system observes the heartbeat, sense drowsiness of driver and checks whether the driver has consumed alcohol. If any disaster is noticed, system sends an alert message including the location to the service, sickbay and the person’s family members and if there is no serious risk, then the aware message can be ended by the driver in order to avoid wasting the valuable time.

Risk Predictive Driver Assistance System for Collision Avoidance in Intersection Right Turns

2018 ◽  
Vol 30 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Yohei Fujinami ◽  
Pongsathorn Raksincharoensak ◽  
Dirk Ulbricht ◽  
Rolf Adomat ◽  
◽  
...  
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Driver Assistance System ◽  
Blind Spot ◽  
Assistance System ◽  
Driver Assistance ◽  
Emergency Braking ◽  
Safety Function ◽  
Vehicle Velocity ◽  
Right Turns

Most traffic accidents that result in injuries or fatalities occur in intersections. In Japan, where cars drive on the left, most of such accidents involve cars that are turning right. This situation serves as the basis of the development of our Advanced Driver Assistance System (ADAS) for intersection right turns. This research focuses on the scenario in which an object darts out from the blind spot created by heavy oncoming traffic as a vehicle is making an intersection right turn. When this happens, even if the driver brakes as hard as possible or an active safety function such as the Autonomous Emergency Braking System (AEBS) applies the brakes, the natural limits of physical friction may make it impossible to avoid a collision. To improve traffic safety given the limited potential of physical friction, this research seeks to develop a risk-predictive right-turn assistance system. The system predicts potential oncoming objects and reduces the vehicle velocity in advance. Blind corners can be detected by on-board sensors without requiring information from surrounding infrastructure. This paper presents a right-turn assistance system that avoids conflict with the AEBS in emergencies by decelerating the ego vehicle to a safe velocity.

Syrian Crisis and Migration

2015 ◽  
Vol 12 (3) ◽  
pp. 181-192 ◽  
Author(s):  
Pinar Yazgan ◽  
Deniz Eroglu Utku ◽  
Ibrahim Sirkeci
Keyword(s):  
Human Mobility ◽  
Special Issue ◽  
Host Countries ◽  
Syrian Crisis ◽  
Mass Migration ◽  
Large Numbers ◽  
And Migration ◽  
Europe Today ◽  
The Impact ◽  
Near Future

With the growing insurrections in Syria in 2011, an exodus in large numbers have emerged. The turmoil and violence have caused mass migration to destinations both within the region and beyond. The current "refugee crisis" has escalated sharply and its impact is widening from neighbouring countries toward Europe. Today, the Syrian crisis is the major cause for an increase in displacement and the resultant dire humanitarian situation in the region. Since the conflict shows no signs of abating in the near future, there is a constant increase in the number of Syrians fleeing their homes. However, questions on the future impact of the Syrian crisis on the scope and scale of this human mobility are still to be answered. As the impact of the Syrian crisis on host countries increases, so does the demand for the analyses of the needs for development and protection in these countries. In this special issue, we aim to bring together a number of studies examining and discussing human mobility in relation to the Syrian crisis.

EDITORIAL: Migration and competitiveness: Japan and the United States

2013 ◽  
Vol 10 (2) ◽  
pp. 115-124
Author(s):  
Philip L. Martin
Keyword(s):  
United States ◽  
The United States ◽  
Variable Cost ◽  
Fixed Cost ◽  
Special Issue ◽  
Science And Engineering ◽  
The Past ◽  
Past Half Century ◽  
Key Sectors ◽  
Past Half

Japan and the United States, the world’s largest economies for most of the past half century, have very different immigration policies. Japan is the G7 economy most closed to immigrants, while the United States is the large economy most open to immigrants. Both Japan and the United States are debating how immigrants are and can con-tribute to the competitiveness of their economies in the 21st centuries. The papers in this special issue review the employment of and impacts of immigrants in some of the key sectors of the Japanese and US economies, including agriculture, health care, science and engineering, and construction and manufacturing. For example, in Japanese agriculture migrant trainees are a fixed cost to farmers during the three years they are in Japan, while US farmers who hire mostly unauthorized migrants hire and lay off workers as needed, making labour a variable cost.

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