Francesca Favarò

ORCID: 0000-0003-0239-0770
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About
Contact & Profiles
Research Areas
  • Human-Automation Interaction and Safety
  • Risk and Safety Analysis
  • Autonomous Vehicle Technology and Safety
  • Traffic and Road Safety
  • Occupational Health and Safety Research
  • Italian Literature and Culture
  • Safety Systems Engineering in Autonomy
  • Linguistic Studies and Language Acquisition
  • Risk Perception and Management
  • Software Reliability and Analysis Research
  • Transportation and Mobility Innovations
  • Quality and Safety in Healthcare
  • Italian Fascism and Post-war Society
  • Simulation Techniques and Applications
  • Formal Methods in Verification
  • Comparative Literary Analysis and Criticism
  • Nuclear and radioactivity studies
  • Libraries, Manuscripts, and Books
  • Diverse academic and cultural studies
  • Ancient Mediterranean Archaeology and History
  • Archaeological and Historical Studies
  • Educational and Social Studies
  • Rocket and propulsion systems research
  • Radiation Effects in Electronics
  • Older Adults Driving Studies

San Jose State University
2017-2020

Georgia Institute of Technology
2013-2016

University of California, Irvine
2012

Irvine University
2012

Autonomous Vehicle technology is quickly expanding its market and has found in Silicon Valley, California, a strong foothold for preliminary testing on public roads. In an effort to promote safety transparency consumers, the California Department of Motor Vehicles mandated that reports accidents involving autonomous vehicles be drafted made available public. The present work shows in-depth analysis accident filed by different manufacturers are (testing data from September 2014 March 2017)....

10.1371/journal.pone.0184952 article EN cc-by PLoS ONE 2017-09-20

Objective The public, regulators, and domain experts alike seek to understand the effect of deployed SAE level 4 automated driving system (ADS) technologies on safety. recent expansion ADS technology deployments is paving way for early stage safety impact evaluations, whereby observational data from both an a representative benchmark fleet are compared quantify performance.

10.1080/15389588.2024.2435620 article EN cc-by-nc Traffic Injury Prevention 2025-01-21

Waymo's mission to reduce traffic injuries and fatalities improve mobility for all has led us expand deployment of automated vehicles on public roads without a human driver behind the wheel. As part this process, Waymo is committed providing with informative relevant data regarding demonstrated safety driving system, which we call Driver. The presented in paper represents more than 6.1 million miles Phoenix, Arizona metropolitan area, including operations trained operator steering wheel from...

10.48550/arxiv.2011.00038 preprint EN other-oa arXiv (Cornell University) 2020-01-01

10.1016/j.jlp.2014.04.001 article EN Journal of Loss Prevention in the Process Industries 2014-04-16

For over a century, researchers have wrestled with how to define good driving behavior, and the debate has surfaced anew for automated vehicles (AVs). We put forth concept of Drivership as framing realization behaviors. grounds evaluation behaviors in alignment between mutualistic expectations that exist amongst road users. Leveraging existing literature, we distinguish Empirical Expectations (i.e., reflecting "beliefs certain behavior will be followed," drawing on past experiences)...

10.48550/arxiv.2502.08121 preprint EN arXiv (Cornell University) 2025-02-11

Research related to autonomous vehicles and their implications for human-machine interactions is on the rise. Advanced Driver Assistance Systems have become increasingly popular in currently deployed market, making researchers wonder about potential risks case of technology failures drivers that accustomed use such technology. To further our understanding concern, this work looks at available data from field testing has been carried out California 2014 2017. Our examination includes both...

10.1080/10447318.2018.1561784 article EN International Journal of Human-Computer Interaction 2019-01-08

This paper presents an overview of Waymo's approach to building a reliable case for safety - novel and thorough blueprint use by any company fully autonomous driving systems. A operations is formal way explain how determines that AV system safe enough be deployed on public roads without human driver, it includes evidence support determination. It involves explanation the system, methodologies used develop it, metrics validate actual results validation tests. Yet, in order worthwhile case,...

10.48550/arxiv.2306.01917 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

10.1016/j.trf.2019.05.004 article EN Transportation Research Part F Traffic Psychology and Behaviour 2019-05-24

Waymo's safety methodologies, which draw on well established engineering processes and address new challenges specific to Automated Vehicle technology, provide a firm foundation for safe deployment of Level 4 ADS, Waymo also refers as the Driver. determination its readiness deploy AVs safely in different settings rests that thorough analysis risks particular Operational Design Domain. process making these determinations entails an ordered examination relevant outputs from all methodologies...

10.48550/arxiv.2011.00054 preprint EN other-oa arXiv (Cornell University) 2020-01-01

This paper describes Waymo's Collision Avoidance Testing (CAT) methodology: a scenario-based testing method that evaluates the safety of Waymo Driver Automated Driving Systems' (ADS) intended functionality in conflict situations initiated by other road users require urgent evasive maneuvers. Because SAE Level 4 ADS are responsible for dynamic driving task (DDT), when engaged, without immediate human intervention, evaluating using is difficult due to potentially infinite number operational...

10.48550/arxiv.2212.08148 preprint EN other-oa arXiv (Cornell University) 2022-01-01

Defense-in-depth is a fundamental safety principle for the design and operation of nuclear power plants. Despite its general appeal, defense-in-depth not without drawbacks, which include potential concealing occurrence hazardous states in system, more generally rendering latter opaque operators managers, thus resulting blind spots. This turn translates into shrinking time window available to identify an unfolding condition or situation intervene abate it. To prevent this drawback from...

10.5516/net.03.2014.021 article EN cc-by-nc-nd Nuclear Engineering and Technology 2014-12-01

The regression rate of the solid fuel is a primary parameter in performance analysis for hybrid rocket. Many studies past few years have theoretically claimed, or experimentally shown, dependence on chamber total pressure. Such behavior generally traced back to presence oxygen below flame zone and heterogeneous reactions occurring at surface affecting pyrolysis law. An experimental program was performed Space Propulsion Laboratory Politecnico di Milano showing, within explored operating...

10.2514/1.b34513 article EN Journal of Propulsion and Power 2012-12-19

The paper presents an analysis of the data currently available on disengagements autonomous vehicles. was reported by manufacturers that are testing California public roads to Department Motor Vehicles. results focus examining contributory factors and probable causes drawing preliminary estimations disengagement frequencies average mileage driven before disengagement. Disengagements do not necessarily lead accident (with 1 occurrence every 178 actually resulting in a collision or other...

10.1109/ram.2018.8463123 article EN 2022 Annual Reliability and Maintainability Symposium (RAMS) 2018-01-01

This paper frames recent publications from Waymo within the broader context of safety readiness determination for an Automated Driving System (ADS). Starting a brief overview performance outcomes reported by (i.e., contact events experienced during fully autonomous operations), this highlights need diversified approach to that complements analysis observed with other estimation techniques. Our discussion highlights: presentation "credibility paradox" comparison between ADS crash data and...

10.48550/arxiv.2306.14923 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01
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