Characterizing the Safety of Automated Vehicles Book 1 - Automated Vehicle Safety

2019 ◽  
Author(s):  
Juan Pimentel
Keyword(s):  
Vehicle Safety ◽  
Automated Vehicles ◽  
Automated Vehicle

scholarly journals More Than Trolleys: Plausible, Ethically Ambiguous Scenarios Likely to Be Encountered by Automated Vehicles

2020 ◽  
Author(s):  
Noah J. Goodall
Keyword(s):  
Thought Experiment ◽  
Ethical Reasoning ◽  
Moral Dilemmas ◽  
Vehicle Safety ◽  
Trolley Problem ◽  
Automated Vehicles ◽  
Automated Vehicle ◽  
Performance Requirements

As the act of driving becomes increasingly automated, vehicles will encounter situations where different objectives of safety, mobility, and legality will come into conflict. These situations require a vehicle to compare relative values of different entities and objectives, where the action of the vehicle has a moral component. While discussion of these scenarios often focuses on the “trolley problem” thought experiment, these types of life-or-death moral dilemmas may be rare in practice. This article identifies four far more common examples of routine driving that require decisions with some level of ethical reasoning about how to distribute risk. These scenarios may be useful for automated vehicle developers in assessing vehicle safety and responding to potential future regulations, as well as for regulators in developing performance requirements.

scholarly journals More Than Trolleys

Transfers ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 45-58 ◽  
Author(s):  
Noah Goodall
Keyword(s):  
Thought Experiment ◽  
Ethical Reasoning ◽  
Moral Dilemmas ◽  
Vehicle Safety ◽  
Trolley Problem ◽  
Automated Vehicles ◽  
Automated Vehicle ◽  
Performance Requirements

As the act of driving becomes increasingly automated, vehicles will encounter situations where different objectives of safety, mobility, and legality will come into conflict. These situations require a vehicle to compare relative values of different entities and objectives, where the action of the vehicle has a moral component. While discussion of these scenarios often focuses on the “trolley problem” thought experiment, these types of life-or-death moral dilemmas may be rare in practice. This article identifies four far more common examples of routine driving that require decisions with some level of ethical reasoning about how to distribute risk. These scenarios may be useful for automated vehicle developers in assessing vehicle safety and responding to potential future regulations, as well as for regulators in developing performance requirements.

scholarly journals Drivers’ Age and Automated Vehicle Explanations

2021 ◽  
Vol 13 (4) ◽  
pp. 1948
Author(s):  
Qiaoning Zhang ◽  
Xi Jessie Yang ◽  
Lionel P. Robert
Keyword(s):  
Decision Making ◽  
Middle Age ◽  
Age Groups ◽  
Design Experiment ◽  
Mixed Design ◽  
Automated Vehicles ◽  
Automated Vehicle ◽  
Automated Decision Making

Automated vehicles (AV) have the potential to benefit our society. Providing explanations is one approach to facilitating AV trust by decreasing uncertainty about automated decision-making. However, it is not clear whether explanations are equally beneficial for drivers across age groups in terms of trust and anxiety. To examine this, we conducted a mixed-design experiment with 40 participants divided into three age groups (i.e., younger, middle-age, and older). Participants were presented with: (1) no explanation, or (2) explanation given before or (3) after the AV took action, or (4) explanation along with a request for permission to take action. Results highlight both commonalities and differences between age groups. These results have important implications in designing AV explanations and promoting trust.

scholarly journals Impact of External Human–Machine Interface Communication Strategies of Automated Vehicles on Pedestrians’ Crossing Decisions and Behaviors in an Urban Environment

2021 ◽  
Vol 13 (15) ◽  
pp. 8396
Author(s):  
Marc Wilbrink ◽  
Merle Lau ◽  
Johannes Illgner ◽  
Anna Schieben ◽  
Michael Oehl
Keyword(s):  
Urban Traffic ◽  
Automated Vehicles ◽  
Negative Effects ◽  
Communication Tools ◽  
Automated Vehicle ◽  
Additional Information ◽  
Road Users ◽  
Vulnerable Road Users ◽  
And Behaviors ◽  
Vehicle Automation

The development of automated vehicles (AVs) and their integration into traffic are seen by many vehicle manufacturers and stakeholders such as cities or transportation companies as a revolution in mobility. In future urban traffic, it is more likely that AVs will operate not in separated traffic spaces but in so-called mixed traffic environments where different types of traffic participants interact. Therefore, AVs must be able to communicate with other traffic participants, e.g., pedestrians as vulnerable road users (VRUs), to solve ambiguous traffic situations. To achieve well-working communication and thereby safe interaction between AVs and other traffic participants, the latest research discusses external human–machine interfaces (eHMIs) as promising communication tools. Therefore, this study examines the potential positive and negative effects of AVs equipped with static (only displaying the current vehicle automation status (VAS)) and dynamic (communicating an AV’s perception and intention) eHMIs on the interaction with pedestrians by taking subjective and objective measurements into account. In a Virtual Reality (VR) simulator study, 62 participants were instructed to cross a street while interacting with non-automated (without eHMI) and automated vehicles (equipped with static eHMI or dynamic eHMI). The results reveal that a static eHMI had no effect on pedestrians’ crossing decisions and behaviors compared to a non-automated vehicle without any eHMI. However, participants benefit from the additional information of a dynamic eHMI by making earlier decisions to cross the street and higher certainties regarding their decisions when interacting with an AV with a dynamic eHMI compared to an AV with a static eHMI or a non-automated vehicle. Implications for a holistic evaluation of eHMIs as AV communication tools and their safe introduction into traffic are discussed based on the results.

scholarly journals Experimental Study on Different Types of Curves for Ride Comfort in Automated Vehicles

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Naohisa Hashimoto ◽  
Yusuke Takinami ◽  
Makoto Yamamoto
Keyword(s):  
Traffic Accidents ◽  
Field Experiments ◽  
Ride Comfort ◽  
Vehicle Control ◽  
Automated Vehicles ◽  
Significance Level ◽  
Automated Vehicle ◽  
Driving Assistance ◽  
Human Factor Research ◽  
Automated Vehicle Control

Vehicle automation is among the best possible solutions for traffic issues, including traffic accidents, traffic jams, and energy consumption. However, the user acceptance of automated vehicles is critical and is affected by riding comfort. In addition, human factors in automated vehicle control should be clear. This study evaluates the effect of different courses on driving comfort in automated vehicles using field experiments with 25 subjects. This study focused on lateral motion, but speed control was not targeted. Further, generating a path for obstacle avoidance and lane keeping, which have several constraining conditions, was also not targeted. Rendering a comfortable path is beneficial for developing an acceptable system as a car developer and for building new curves for automated or driving assistance systems from the perspective of construction. The automated vehicle drove at a speed of 30 km/h on four courses, namely, clothoid, two types of spline curves, and arc, based on the real intersection. Each participant sat on both the driver and passenger seat and answered a questionnaire. The experimental data indicated the clothoid course to be the most comfortable, while the arc was most uncomfortable for a significance level of 1%. These tendencies are applicable to driver and passenger seats, all genders, and experiences and will be beneficial for human factor research in automated vehicle control.

scholarly journals Secured Vehicle Safety System using GSM Technology

2019 ◽  
Vol 8 (6S4) ◽  
pp. 832-836 ◽  
Keyword(s):  
Focal Point ◽  
Well Being ◽  
Vehicle Safety ◽  
Security Framework ◽  
Remote Communication ◽  
Active Systems ◽  
Automated Vehicle ◽  
Region Data ◽  
The Web ◽  
Area Data

A smart helmet is a kind of defensive headgear utilized by the rider which makes bike driving more secure than previously. The principle reason for this keen protective cap to give well being to rider.Here I proposed a work which is endeavor to plan a propelled vehicle’s security framework which utilizes GSM to avert burglary and to decide the area of vehicles. Now a daysburglary is going on the stopping or in some shaky spots. The wellbeing of the vehicles is incredibly fundamental. The point of the vehicles security framework is used to utilizes the remote communication innovatively for the car situations. The principle focal point of this undertaking is to ensure the stealing of vehicle. This is finished with the assistance of GSM modem and circuit which comprises of ARM 7 TDMI microcontroller, transfer and venture down transformer. The framework will be enacted simply in the wake of wearing the head protector or else the client can't ready to get to the vehicle. To achieve Automated Vehicle Location our system uses to transmit the area data continuously, Active systems are produced. Progressing vehicular after system joins a gear device introduced in the vehicle and a remote Tracking servers. The infowas conveyed to Tracking server utilizing GSM/GPRS modem on GSM mastermind by using SMS or utilized direct TCP/IP association with Tracking servers thruGPRS. Following servers in like way has GSM/GPRS modem that gets vehicle region data by techniques for GSM system and stores info into databases. This info is available to embraced clients of the systems by techniques for sites over the web.

Cellular Automata–Based Modeling and Simulation of a Mixed Traffic Flow of Manual and Automated Vehicles

2017 ◽  
Vol 2622 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Da Yang ◽  
Xiaoping Qiu ◽  
Lina Ma ◽  
Danhong Wu ◽  
Liling Zhu ◽  
...  
Keyword(s):  
Reaction Time ◽  
Traffic Flow ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Lane Change ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Obvious Effect ◽  
Mixed Traffic Flow ◽  
Automated Vehicle

In recent years, automated vehicles have been developing rapidly, and some automated vehicles have begun to drive on highways. The market share of automated vehicles is expected to increase and will greatly affect traffic flow characteristics. This paper focuses on the mixed traffic flow of manual and automated vehicles. The study improves the existing cellular automaton model to capture the differences between manual vehicles and automated vehicles. Computer simulations are employed to analyze the characteristic variations in the mixed traffic flow under different automated vehicle proportions, lane change probabilities, and reaction times. Several new conclusions are drawn in the paper. First, with the increment of the proportion of automated vehicles, freeway capacity increases; the capacity increment is more significant for single-lane traffic than for two-lane traffic. Second, for single-lane traffic flow, reducing the reaction time of the automated vehicle can significantly improve road traffic capacity—as much as doubling it—and reaction time reduction has no obvious effect on the capacity of the two-lane traffic. Third, with the proportion increment of automated vehicles, lane change frequency reduces significantly. Fourth, when the density is 15 < ρ < 55 vehicles/km, the addition of 20% automated vehicles to a traffic flow that consisted of only manual vehicles can decrease congestion by up to 16.7%.

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