By leveraging advanced technologies, Autonomous Vehicles (AVs) hold the potential to increase transportation safety and efficiency. This collection showcases USDOT-funded research and data concerning AVs. Bookmark this collection: https://rosap.ntl.bts.gov/collection_avs OR https://doi.org/10.21949/1x81-qs91.
The Texas Connected Freight Corridors (TCFC) system is a connected vehicle (CV) environment that seeks to improve safety and mobility for the Texas Triangle, which consists of the Austin, Dallas/Fort Worth, Houston, San Antonio, and Laredo metropolitan regions. The TCFC project is a baseline effort to develop and deliver six initial applications fo
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Wood, N., Anderson, P. R., Le, M., Middleton, D., & Saylor, R. (2022). Potential Applications to Expand the Texas Connected Freight Corridors System (Report No. FHWA/TX-23/0-7125-R1). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/65824
Wood, Nick, Paul R. Anderson, Minh Le, Dan Middleton, and Robert Saylor. Potential Applications to Expand the Texas Connected Freight Corridors System. Report no. FHWA/TX-23/0-7125-R1. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/65824.
Wood, Nick, et al. Potential Applications to Expand the Texas Connected Freight Corridors System. Texas A&M Transportation Institute, 2022, Report no. FHWA/TX-23/0-7125-R1, ROSA P. https://rosap.ntl.bts.gov/view/dot/65824.
The gap distances used on adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) systems have important implications for both driver safety and transportation operations The current study sought to identify comfortable or preferred following gaps under a variety of speeds that could be used to help guide set speeds for ACC and
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Weaver, S., Chao, S. F., Jannat, M., & Philips, B. H. (2022). Preferred Following Distance as a Function of Speed—Function-Specific Automation (Level 1) Applications (Report No. FHWA-HRT-22-107). United States. Federal Highway Administration. Office of Safety and Operations Research and Development. https://rosap.ntl.bts.gov/view/dot/66350
Weaver, Starla, Szu-Fu Chao, Mafruhatul Jannat, and Brian H. Philips. Preferred Following Distance as a Function of Speed—Function-Specific Automation (Level 1) Applications. Report no. FHWA-HRT-22-107. United States. Federal Highway Administration. Office of Safety and Operations Research and Development, 2022. https://rosap.ntl.bts.gov/view/dot/66350.
Weaver, Starla, et al. Preferred Following Distance as a Function of Speed—Function-Specific Automation (Level 1) Applications. United States. Federal Highway Administration. Office of Safety and Operations Research and Development, 2022, Report no. FHWA-HRT-22-107, ROSA P. https://rosap.ntl.bts.gov/view/dot/66350.
The last century has witnessed increased urban sprawl, motorization, and the attendant problems of congestion, safety, and emissions associated with current-day transportation systems. In contemporary literature, researchers suggest that the emerging transportation technologies, including vehicle autonomy and connectivity, offer great promise in he
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Seilabi, S. E., Pourgholamali, M., Wang, J., Miralinaghi, M., Sundaram, S., & Labi, S. (2022). Lane Management in the Era of CAV Deployment. University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317659
Seilabi, Sania E, Mohammadhosein Pourgholamali, Jiaming Wang, Mohammad Miralinaghi, Shreyas Sundaram, and Samuel Labi. Lane Management in the Era of CAV Deployment. University of Michigan. Center for Connected and Automated Transportation, 2022. http://dx.doi.org/10.5703/1288284317659.
Seilabi, Sania E, et al. Lane Management in the Era of CAV Deployment. University of Michigan. Center for Connected and Automated Transportation, 2022, ROSA P. http://dx.doi.org/10.5703/1288284317659.
To predict if the “social distancing” nature and resulting shifts in behavior from the pandemic continued to persist after the pandemic ended, this work examined preferences and behaviors towards shared mobility during different stages of the pandemic. Although levels of comfort using shared modes improved since the summer of 2021, participants sti
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Watkins, K., Hunter, M. P., Kiriazes, R., & Saracco, M. (2022). Enabling the Shared Transportation Revolution (Report No. STRIDE Project Q2). Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE). https://rosap.ntl.bts.gov/view/dot/72871
Watkins, Kari, Michael P. Hunter, Rebecca Kiriazes, and Matteo Saracco. Enabling the Shared Transportation Revolution. Report no. STRIDE Project Q2. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2022. https://rosap.ntl.bts.gov/view/dot/72871.
Watkins, Kari, et al. Enabling the Shared Transportation Revolution. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2022, Report no. STRIDE Project Q2, ROSA P. https://rosap.ntl.bts.gov/view/dot/72871.
Automated shuttles are small, low-speed (generally less than 25 mph) vehicles that do not require a human operator, though to date all have included an onboard human attendant. This project aims to assess the limitations that the EasyMile EZ10 Gen 3 low-speed automated vehicle (LSAV) encountered while operating on public roadways. The primary inter
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Hong, Y., Klauer, S. G., Mollenhauer, M., Talledo Vilela, J. P., Goodall, N., & Fontaine, M. D. (2022). Evaluation Tools for Low-Speed Automated Vehicle (LSAV) Transit Readiness of the Area (Report No. VTTI-05-113). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/67065
Hong, Yubin, Sheila G Klauer, Mike Mollenhauer, Jean Paul Talledo Vilela, Noah Goodall, and Michael D. Fontaine. Evaluation Tools for Low-Speed Automated Vehicle (LSAV) Transit Readiness of the Area. Report no. VTTI-05-113. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022. https://rosap.ntl.bts.gov/view/dot/67065.
Hong, Yubin, et al. Evaluation Tools for Low-Speed Automated Vehicle (LSAV) Transit Readiness of the Area. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022, Report no. VTTI-05-113, ROSA P. https://rosap.ntl.bts.gov/view/dot/67065.
Deployment of autonomous vehicles (AVs) may hold health and safety benefits for drivers with and without disabilities across the adult lifespan. While transportation is critical in helping people with disabilities (PWDs) access health care, services, jobs, goods, community involvement, and societal participation, the current transportation system h
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Classen, S., Sisiopiku, V., Mason, J., Stetten, N. E., Yang, W., Hwangbo, S. W., McKinney, B., & Kwan, J. (2022). Barriers and Facilitators of People With Disabilities in Accepting and Adopting Autonomous Shared Mobility Services (Report No. STRIDE Project A5). Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE). https://rosap.ntl.bts.gov/view/dot/72844
Classen, Sherrilene, Virginia Sisiopiku, Justin Mason, Nicole E Stetten, Wencui Yang, Seung-Woo Hwangbo, Brandy McKinney, and Joseph Kwan. Barriers and Facilitators of People With Disabilities in Accepting and Adopting Autonomous Shared Mobility Services. Report no. STRIDE Project A5. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2022. https://rosap.ntl.bts.gov/view/dot/72844.
Classen, Sherrilene, et al. Barriers and Facilitators of People With Disabilities in Accepting and Adopting Autonomous Shared Mobility Services. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2022, Report no. STRIDE Project A5, ROSA P. https://rosap.ntl.bts.gov/view/dot/72844.
This report documents the Comprehensive Deployment Plan of the Truck Platooning Early Deployment Assessment Phase 2 project. It includes important aspects of the Field Operational Test (FOT): (a) technical approach for Cooperative Adaptive Cruise Control (CACC) including system functionality and some initial relevant functional safety consideration
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Lu, X. Y., Shladover, S., Liu, H., Wang, P., Huey, R., & McKeever, B. B. (2022). Truck Platooning Early Deployment Assessment: Phase 2 Comprehensive Deployment Plan (Report No. FHWA-JPO-22-986). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/66285
Lu, Xiao-Yun, Steven Shladover, Hao Liu, Peggy Wang, Rick Huey, and Benjamin B. McKeever. Truck Platooning Early Deployment Assessment: Phase 2 Comprehensive Deployment Plan. Report no. FHWA-JPO-22-986. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/66285.
Lu, Xiao-Yun, et al. Truck Platooning Early Deployment Assessment: Phase 2 Comprehensive Deployment Plan. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, Report no. FHWA-JPO-22-986, ROSA P. https://rosap.ntl.bts.gov/view/dot/66285.
Visual place recognition (VPR), technology often associated with navigation of autonomous vehicles, can be critical to meeting every day urban navigation needs of people with vision disabilities. This research addresses two major obstacles to implementing VPR at scale: 1) the need for side-view place recognition, crucial for identification of sidew
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Rizzo, J. R., Feng, C., Wang, R., & Sheng, D. (2022). Wearables to Command More Access and Inclusion in a Smarter Transportation System. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://rosap.ntl.bts.gov/view/dot/66525
Rizzo, John Ross, Chen Feng, Ruoyu Wang, and Diwei Sheng. Wearables to Command More Access and Inclusion in a Smarter Transportation System. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2022. https://rosap.ntl.bts.gov/view/dot/66525.
Rizzo, John Ross, et al. Wearables to Command More Access and Inclusion in a Smarter Transportation System. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/66525.
Safety for all road users is a key concern as Connected and Autonomous Vehicle technologies develop and reach the testing phase. One key concern is the change to two-way communication that often occurs in traditional pedestrian-vehicle interaction. This project focused on three key aspects to this issue. First, a prototype autonomous shuttle system
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Chase, R. T., Feng, J., Hollar, S., Karimoddini, A., & Wright, W. (2022). Enhancing AV Traffic Safety through Pedestrian Detection, Classification and Communication (Report No. FHWA/NC/2019-28). North Carolina. Department of Transportation. Research and Analysis Group. https://rosap.ntl.bts.gov/view/dot/68711
Chase, R. Thomas, Jingyu Feng, Seth Hollar, Ali Karimoddini, and Waugh Wright. Enhancing AV Traffic Safety through Pedestrian Detection, Classification and Communication. Report no. FHWA/NC/2019-28. North Carolina. Department of Transportation. Research and Analysis Group, 2022. https://rosap.ntl.bts.gov/view/dot/68711.
Chase, R. Thomas, et al. Enhancing AV Traffic Safety through Pedestrian Detection, Classification and Communication. North Carolina. Department of Transportation. Research and Analysis Group, 2022, Report no. FHWA/NC/2019-28, ROSA P. https://rosap.ntl.bts.gov/view/dot/68711.
We conducted a thorough literature survey on topics relevant to assured PNT for automated vehicles. The presented literature gathers and systematizes existing knowledge related to the system components of PNT and HAV systems. In particular, it treats opportunities, threats, and vulnerabilities related to (1) inertially-coupled GNSS receivers, (2) n
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Ahmed, Q. (2022). Literature Review of PNT and GNSS Threats and Vulnerabilities to HATS. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/72728
Ahmed, Qadeer. Literature Review of PNT and GNSS Threats and Vulnerabilities to HATS. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2022. https://rosap.ntl.bts.gov/view/dot/72728.
Ahmed, Qadeer Literature Review of PNT and GNSS Threats and Vulnerabilities to HATS. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/72728.
The Autonomous Truck Mounted Attenuator (ATMA) vehicle system is a quickly emerging technology that leverages connected and autonomous vehicle (CAV) capabilities for maintenance of transportation infrastructure. Because practicable and implementable guidance for deployment of this technology is largely missing in MUTCD, State DOTs have been making
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Hu, X., Tang, Q., & Chen, G. (2022). Development of ATMA Deployment Guidelines Considering Traffic and Safety Impacts (Report No. 25-1121-0005-128-2). University of Nebraska. Mid-America Transportation Center. https://rosap.ntl.bts.gov/view/dot/74542
Hu, Xianbiao, Qing Tang, and Genda Chen. Development of ATMA Deployment Guidelines Considering Traffic and Safety Impacts. Report no. 25-1121-0005-128-2. University of Nebraska. Mid-America Transportation Center, 2022. https://rosap.ntl.bts.gov/view/dot/74542.
Hu, Xianbiao, et al. Development of ATMA Deployment Guidelines Considering Traffic and Safety Impacts. University of Nebraska. Mid-America Transportation Center, 2022, Report no. 25-1121-0005-128-2, ROSA P. https://rosap.ntl.bts.gov/view/dot/74542.
Despite its challenges, independent travel for blind and visually impaired (BVI) individuals is an essential component of quality of life, enabling travel to work and recreational activities. Autonomous vehicle technologies have the potential of meeting these challenges. However, efficiently and safely guiding BVI travelers between indoor environme
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Li, B., Comert, G., Brooks, J., & Arditi, A. (2022). Safe and Efficient E-wayfinding (SeeWay) Assistive Navigation for the Visually Impaired. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/67816
Li, Bing, Gurcan Comert, Johnell Brooks, and Aries Arditi. Safe and Efficient E-wayfinding (SeeWay) Assistive Navigation for the Visually Impaired. Center for Connected Multimodal Mobility, Clemson University, 2022. https://rosap.ntl.bts.gov/view/dot/67816.
Li, Bing, et al. Safe and Efficient E-wayfinding (SeeWay) Assistive Navigation for the Visually Impaired. Center for Connected Multimodal Mobility, Clemson University, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/67816.
This report documents the Test and Evaluation Plan of the Federal Highway Administration (FHWA) Truck Platooning Early Deployment Assessment Phase 2 project. The test plan includes four stages: (a) Cooperative Adaptive Cruise Control (CACC) system performance test by PATH team, which combined step-by-step implementation and CACC system tests to mak
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Lu, X. Y., Shladover, S., Liu, H., Huey, R., & McKeever, B. B. (2022). Truck Platooning Early Deployment Assessment: Phase 2 Test and Evaluation Plan (Report No. FHWA-JPO-22-987). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/66284
Lu, Xiao-Yun, Steven Shladover, Hao Liu, Rick Huey, and Benjamin B. McKeever. Truck Platooning Early Deployment Assessment: Phase 2 Test and Evaluation Plan. Report no. FHWA-JPO-22-987. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/66284.
Lu, Xiao-Yun, et al. Truck Platooning Early Deployment Assessment: Phase 2 Test and Evaluation Plan. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, Report no. FHWA-JPO-22-987, ROSA P. https://rosap.ntl.bts.gov/view/dot/66284.
This report describes a project to develop an automated wheelchair tiedown and occupant restraint systems (WTORS) that could be safely and independently used in automated vehicles by people who remain seated in their wheelchairs for travel. The literature review focuses on topics relevant to safe, independent use of automated vehicles to people who
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Klinich, K. D., Manary, M. A., Boyle, K. J., Orton, N. R., & Hu, J. (2022). Development of an Automated Wheelchair Tiedown Restraint System (Report No. DOT HS 813 275). United States. Department of Transportation. National Highway Traffic Safety Administration. https://doi.org/10.21949/1530262
Klinich, Kathleen D., Miriam A. Manary, Kyle J. Boyle, Nichole R. Orton, and Jingwen Hu. Development of an Automated Wheelchair Tiedown Restraint System. Report no. DOT HS 813 275. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022. https://doi.org/10.21949/1530262.
Klinich, Kathleen D., et al. Development of an Automated Wheelchair Tiedown Restraint System. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022, Report no. DOT HS 813 275, ROSA P. https://doi.org/10.21949/1530262.
As automated transportation progresses, public transit agencies may address the equitable implications of integrating autonomous vehicles and shuttles into current transit systems. Capital and operating expenses for automated mobility modes handled by public transportation agencies are unknown at this point given the limited number of pilots and de
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Samaras, C. (2022). Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems (Report No. Project #336). Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/64434
Samaras, Costa. Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems. Report no. Project #336. Mobility21, Carnegie Mellon University, 2022. https://rosap.ntl.bts.gov/view/dot/64434.
Samaras, Costa Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems. Mobility21, Carnegie Mellon University, 2022, Report no. Project #336, ROSA P. https://rosap.ntl.bts.gov/view/dot/64434.
As automated transportation progresses, public transit agencies may address the equitable implications of integrating autonomous vehicles and shuttles into current transit systems. Capital and operating expenses for automated mobility modes handled by public transportation agencies are unknown at this point given the limited number of pilots and de
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Dataset
Whitmore, A. (2022). Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems [Supporting Dataset] (Report No. Project #336). Mobility21, Carnegie Mellon University. https://doi.org/10.1184/R1/21223763.v1
Whitmore, Allante. Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems [Supporting Dataset]. Report no. Project #336. Mobility21, Carnegie Mellon University, 2022. https://doi.org/10.1184/R1/21223763.v1.
Whitmore, Allante Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems [Supporting Dataset]. Mobility21, Carnegie Mellon University, 2022, Report no. Project #336, ROSA P. https://doi.org/10.1184/R1/21223763.v1.
In this study, the authors develop a comprehensive framework to model the impact of cyberattacks on safety, security, and head-to-tail stability of connected and automated vehicular platoons. First, the authors propose a general platoon dynamics model with heterogeneous time delays that may originate from the communication channel and/or vehicle on
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Wang, Y., Zhang, R., Masoud, N., & Liu, H. X. (2022). Anomaly Detection and String Stability Analysis in Connected Automated Vehicular Platoons. University of Michigan. https://rosap.ntl.bts.gov/view/dot/68522
Wang, Yiyang, Ruixuan Zhang, Neda Masoud, and Henry X. Liu. Anomaly Detection and String Stability Analysis in Connected Automated Vehicular Platoons. University of Michigan, 2022. https://rosap.ntl.bts.gov/view/dot/68522.
Wang, Yiyang, et al. Anomaly Detection and String Stability Analysis in Connected Automated Vehicular Platoons. University of Michigan, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/68522.
The National Highway Traffic Safety Administration recently granted permission to deploy low-speed autonomous delivery vehicles (ADVs) on roadways. Although the mobility of ADVs is limited to low-speed roads and these vehicles are occupant less, frequent stops and mobility among residential neighborhoods cause safety-related concerns. There is cons
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Dataset
Das, S., Tsapakis, I., Elgart, Z., Kutela, B., Vierkant, V., & Li, E. (2022). Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety? [Supporting Dataset] (Report No. 05-087). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/VAEBNM
Das, Subasish, Ioannis Tsapakis, Zachary Elgart, Boniphace Kutela, Valerie Vierkant, and Eric Li. Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety? [Supporting Dataset]. Report no. 05-087. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022. https://doi.org/10.15787/VTT1/VAEBNM.
Das, Subasish, et al. Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety? [Supporting Dataset]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022, Report no. 05-087, ROSA P. https://doi.org/10.15787/VTT1/VAEBNM.
With the accelerated deployment of connected and automated vehicle (CAV) technologies, public agencies have urgent needs on how to utilize these rich data sources of CAVs to improve traffic mobility, safety, and environmental and energy impact. This research will tackle one of the big data challenges, which is mining driving behavior patterns using
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Dataset
Di, X., Jin, P., Huang, Y., & Mo, Z. (2022). Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub [Supporting Dataset] (Report No. CAIT-UTC-REG46). Rutgers University. Center for Advanced Infrastructure and Transportation. https://doi.org/10.7910/DVN/XIHFDG
Di, Xuan, Peter Jin, Yufei Huang, and Zhaobin Mo. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub [Supporting Dataset]. Report no. CAIT-UTC-REG46. Rutgers University. Center for Advanced Infrastructure and Transportation, 2022. https://doi.org/10.7910/DVN/XIHFDG.
Di, Xuan, et al. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub [Supporting Dataset]. Rutgers University. Center for Advanced Infrastructure and Transportation, 2022, Report no. CAIT-UTC-REG46, ROSA P. https://doi.org/10.7910/DVN/XIHFDG.
As society progresses towards increased automation in aviation—such as with Advanced Air Mobility and Unmanned Aircraft Systems—it is important to have a common understanding and perspective about automation among the many stakeholders, including aviation system designers, operators, maintainers, and regulatory authorities. Unfortunately, the disco
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Kaliardos, W. N. (. (2022). Enough Fluff: Returning to Meaningful Perspectives on Automation. Kaliardos, William N (Bill). https://rosap.ntl.bts.gov/view/dot/64829
Kaliardos, William N. (Bill). Enough Fluff: Returning to Meaningful Perspectives on Automation. Kaliardos, William N (Bill), 2022. https://rosap.ntl.bts.gov/view/dot/64829.
Kaliardos, William N. (Bill) Enough Fluff: Returning to Meaningful Perspectives on Automation. Kaliardos, William N (Bill), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/64829.
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