emergency brake
Autonomous Shuttle Operation for Vulnerable Populations: Lessons and Experiences
Zhong, Ren, Tian, Zhaofeng, Liao, Jinghui, Shi, Weisong
The increasing shortage of drivers poses a significant threat to vulnerable populations, particularly seniors and disabled individuals who heavily depend on public transportation for accessing healthcare services and social events. Autonomous Vehicles (AVs) emerge as a promising alternative, offering potential improvements in accessibility and independence for these groups. However, current designs and studies often overlook the unique needs and experiences of these populations, leading to potential accessibility barriers. This paper presents a detailed case study of an autonomous shuttle test specifically tailored for seniors and disabled individuals, conducted during the early stages of the COVID-19 pandemic. The service, which lasted 13 weeks, catered to approximately 1500 passengers in an urban setting, aiming to facilitate access to essential services. Drawing from the safety operator's experiences and direct observations, we identify critical user experience and safety challenges faced by vulnerable passengers. Based on our findings, we propose targeted initiatives to enhance the safety, accessibility, and user education of AV technology for seniors and disabled individuals. These include increasing educational opportunities to familiarize these groups with AV technology, designing AVs with a focus on diversity and inclusion, and improving training programs for AV operators to address the unique needs of vulnerable populations. Through these initiatives, we aim to bridge the gap in AV accessibility and ensure that these technologies benefit all members of society.
- Transportation > Passenger (1.00)
- Transportation > Infrastructure & Services (1.00)
- Transportation > Ground > Road (1.00)
- Health & Medicine (1.00)
Q&A: The Promise and Pitfalls of Artificial Intelligence and Personalized Learning
The idea of a sophisticated, artificially intelligent program that chooses just the right digital content for a student, at just the right time, can home in on students' strengths and weaknesses and can support or push them is on the educational horizon. Some companies already claim their ed-tech products do just that--or some version of it--to customize learning. But are AI and personalized learning really the "dynamic duo" that some educators are hoping for? Andreas Oranje, the general manager of research in research and development at the Educational Testing Service, says the time is right to examine how these technologies are evolving and the implications for K-12 teaching and learning. Educators are right to be excited about the potential of these technologies.
Island In The Sand, Chapter XXII
Star Black walked the short distance back to the living room where her band was once more gathering. "The lower story is not a story at all," the house intoned. I must assume that the defective Ninety-One machine was referring to the extended unit set into the base of the canyon face. That would place it lower than the house, which is accurate, but it is a thousand meters down, connected only by a small express lift." "So, there's something at the bottom of the canyon and there's a way to get down to it," Jameson said, with no doubt from his tone that he was eager to find out more, and immediately go exploring. "That's correct and accurate," the house stated. "So, where's the lift and when can we go down?" "The lift is rising, but it's of an old variety and will take some time to reach the dwelling." "Rising?" Star said, her voice piercing in tone, stopping all activity in the room. "Why would it be rising?" "There were no humans in the vicinity, as loosely defined when you pointedly used the word'outside' in your question," the house shot back, it's tone almost one of faint or vague petulance. "How could anyone get in the lift and use it if they aren't an administrator?" she asked, realizing when she got the words out that the answer to that question was right there among them. So much was happening at once Star couldn't figure out what to do first. They had members of Sly's band, who had somehow gotten to the bottom of the canyon and were riding up to arrive at the dwelling at any moment, as a possible and vital life or death issue. "The nodes and the lifts do not require the code to be provided by an administrator," the house said. "Unlike accessing the main complex entity and myself, they only require a spoken or written code." "Give me the device," Jameson said across the room to True, "and you better pray that we don't find any more on you when there's time to search you." The boy slunk against the wall, standing with his back against the stone that extended out from the fireplace, which still exuded heat even though the flames were gone. He held out his open hand, palm up, with a small black electronic device laying upon it. The device had a short antenna sticking out of it. "I don't have anymore, that's the last one," he murmured in the silence, as everyone waited to see what was going to happen next. "I didn't know who was going to win," True said, his voice soft but faintly rebellious. "If Star won I knew it would be okay, but if Sly won then what was I to do, die with everyone else?" Jameson stepped quickly forward and swept the device off True's exposed palm. He threw it down and smashed it into bits with the butt of his rifle before anything could be said or other action taken. Once done, Jameson raised his rifle up to point at True. "We're out of time, Jameson," Star said loudly, demanding the boy's full attention. We've got to get to the top of the lift before it gets up here. Where are the lift doors, house?"
Emergency brake was disabled on self-driving Uber that killed woman
A federal investigation into a self-driving Uber SUV that hit and killed a pedestrian in March has found that the vehicle's emergency braking system was disabled. The preliminary report, issued by the National Transportation Safety Board, said on Thursday that while the vehicle's guidance system had spotted the woman about six seconds before hitting her, emergency braking manoeuvres were not enabled in order to "reduce the potential for erratic vehicle behavior". Instead, the Uber system anticipated that the human back-up driver would intervene. However, the automated system was not designed to alert the driver of the impending danger. The car was traveling at 43 miles per hour and its sensors determined that braking was needed 1.3 seconds before impact, according to the report.
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- North America > United States > Arizona > Maricopa County > Tempe (0.07)
- Transportation > Passenger (0.63)
- Transportation > Ground > Road (0.63)
- Information Technology > Services (0.63)
- Government > Regional Government > North America Government > United States Government (0.50)