A multi-analytical approach to studying customers motivations to use innovative totally autonomous vehicles
Increasing technological innovation means level 5 fully autonomous vehicle pods (AVPs) that do not require a human driver are approaching reality. However, the adoption of AVPs continues to lag behind predictions. In this paper, we draw on Mowen’s (2000) 3M model taking a multi-analytical approach utilising PLS-SEM and fuzzy set qualitative comparative analysis, to investigate how personality […]
Getting Started in Autonomous Safety
I get this question a lot: “Hey, I am an experienced functional safety engineer in another industry. How do I break into the self-driving industry?”. Autonomous systems are cool, and people want in! I get that question a lot because I successfully “made the leap” a couple of years ago. I had spent over 20 […]
Accessibility of movement challenged persons and challenges faced by their escorting family members – A Case Study of Dhaka, Bangladesh
This study explores how poor accessibility conditions of the built environment and transport system influences decision-making regarding regular and occasional trips of Movement Challenged Persons (MCPs) in Dhaka, Bangladesh. It explain show MCPs appropriate their mobility in a challenging context with the help family members which causes physical, financial, and other challenges for the supporting persons. Information […]
Nuro ESG Highlights Report
At Nuro, our mission is to better everyday life through robotics. We measure our success by how many people’s lives are substantially improved by our products. We believe that the work we are doing at Nuro can promote more efficient use of our resources, our time, and our attention. For everyone. But only if we […]
Ride-Hailing Platforms: Competition and Autonomous Vehicles
Problem definition: Ride-hailing platforms, which are currently struggling with profitability, view autonomous vehicles (AVs) as important to their long-term profitability and prospects. Are competing platforms helped or harmed by platforms’ obtaining access to AVs? Are the humans who participate on the platforms—driver-workers and rider-consumers (hereafter, agents)—collectively helped or harmed by the platforms’ access to AVs? How […]
Millennial Cities: Interactive Data & Visualization
Millennial Cities is an online resource for planners, changemakers, and curious observers. Find hundreds of web-mapping applications and interactive, data-driven geospatial tools related to demographics, climate change, urban planning, transportation, sustainability, social justice, the environment, housing, and more. Explore the tools, read our articles, and make change in your community. Explore maps here
Association between perceived transportation disadvantages and opportunity inaccessibility: A social equity study
This study gathered empirical evidence of the associations between perceived transportation disadvantages and travel time-based opportunity inaccessibility. Based on an online survey with a representative sample in South Carolina, we identified three latent factors of perceived transportation disadvantages: high travel costs and efforts (e.g., money and time spent for travel), limited travel ability, and safety […]
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Guide for Future Research Directions
Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonomous vehicles (AVs) promises safer and more ecologically friendly transportation systems. With the rapid progress in computationally powerful artificial intelligence (AI) techniques, AVs can sense their environment with high […]
TuSimple’s Driver-Out Pilot Safety Framework
The purpose of this safety framework document (Safety Framework) is to communicate our overarching approach to safety for our upcoming Driver-Out Pilot, and to document the structured safety framework that we have developed that is designed to ensure risks will be appropriately mitigated for driver-out operation within the selected Operational Design Domain (ODD). Unlike the […]
Autonomous long-haul trucking stands to grow the Golden State’s economy while creating jobs and raising wages without mass driver layoffs
A new study released by the Silicon Valley Leadership Group Foundation finds that the impact of automated trucking in California would increase the state’s economy by upwards of $6.5 billion or more, as well as grow wages and employment for workers without prompting mass driver layoffs. In fact, the report finds that the automated trucking […]
