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Air Mobility Trajectory Anomaly Detection and Operational Advancement

CITE Title : Air Mobility Trajectory Anomaly Detection and Operational Advancement Creator(s) : Sacharny, David;Henderson, Thomas;Liu, Xiaoyue Cathy; Corporate Creator(s) : University of Utah. Department of Civil and Environmental Engineering Corporate Contributor(s) : Utah. Department of Transportation. Research and Innovation Division;United States. Department of Transportation. Federal Highway Administration; Published Date : 2022-06-01 Report Number : UT-22.10 URL : /view/dot/63159 "Air Mobility Trajectory Anomaly" (2022). "Air Mobility Trajectory Anomaly Detection and Operational Advancement" (2022) "Air Mobility Trajectory Anomaly Detection and Operational Advancement" , 2022 Export RIS Citation Information.

:

Sacharny, David ;

Henderson, Thomas

2022-06-01

:

The density of aircraft operating in the Salt Lake valley over the next several years is projected to explode in density and therefore push the comple...
Evaluation of Battery Electric Trucks and Connected Vehicle Technologies for Drayage Application

CITE Title : Evaluation of Battery Electric Trucks and Connected Vehicle Technologies for Drayage Application Creator(s) : Hao, Peng;Tanvir, Shams;Un-Noor, Abdullah Fuad;Wei, Zhensong;Boriboonsomsin, Kanok; Corporate Creator(s) : Center for Advancing Research in Transportation Emissions, Energy, and Health. Texas A&M Transportation Institute;University of California, Riverside. Center for Environmental Research and Technology; Corporate Contributor(s) : United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;California Energy Commission;California Air Resources Board;South Coast Air Quality Management District (Calif.); Published Date : 2021-10-01 URL : /view/dot/61867 "Evaluation of Battery Electric" (2021). "Evaluation of Battery Electric Trucks and Connected Vehicle Technologies for Drayage Application" (2021) "Evaluation of Battery Electric Trucks and Connected Vehicle Technologies for Drayage Application" , 2021 Export RIS Citation Information.

:

Hao, Peng ;

Tanvir, Shams

2021-10-01

:

In recent years, battery electric trucks have emerged as an increasingly viable solution for reducing energy consumption and environmental impacts. Th...
Flightcrew Human Factors in Message Complexity and Clearance Negotiation

CITE Title : Flightcrew Human Factors in Message Complexity and Clearance Negotiation Creator(s) : Cardosi, Kim;Lennertz, Tracy; Corporate Creator(s) : John A. Volpe National Transportation Systems Center (U.S.) Corporate Contributor(s) : United States. Department of Transportation. Federal Aviation Administration Published Date : 2022-08-01 Report Number : DOT-VNTSC-FAA-22-13 URL : /view/dot/64480 "Flightcrew Human Factors in" (2022). "Flightcrew Human Factors in Message Complexity and Clearance Negotiation" (2022) "Flightcrew Human Factors in Message Complexity and Clearance Negotiation" , 2022 Export RIS Citation Information.

:

Cardosi, Kim ;

Lennertz, Tracy

2022-08-01

:

Trajectory Based Operations (TBO) will support more efficient and user-preferred routes, requiring more complex communications between aircraft and th...
Trajectory Operations Human Factors Study: Disseminating and Entering Trajectory Clearances

CITE Title : Trajectory Operations Human Factors Study: Disseminating and Entering Trajectory Clearances Creator(s) : Baker, Kelley M;Chang, Chia-Hsuan;DiMare, Sara K;Nelson, Erik;Thornton, M Ross;Benson, William;Kelley, Devon;Olmstead, Ryan;Erchov, Simone;Boehm-Davis, Deborah A; Corporate Creator(s) : George Mason University. Psychology Department Corporate Contributor(s) : United States. Federal Aviation Administration. NextGen Human Factors Division (ANG-C1);United States. Department of Transportation. Federal Aviation Administration. Human Factors Division; Published Date : 2013-06-01 Report Number : GMU-TR-2012-04, Revision 2 URL : /view/dot/62282 "Trajectory Operations Human Factors" (2013). "Trajectory Operations Human Factors Study: Disseminating and Entering Trajectory Clearances" (2013) "Trajectory Operations Human Factors Study: Disseminating and Entering Trajectory Clearances" , 2013 Export RIS Citation Information.

:

Baker, Kelley M ;

Chang, Chia-Hsuan

2013-06-01

:

The Next Generation Air Transportation System (NextGen) consists of a series of transformations designed to increase the capacity, safety, and securit...
Automated Inspection of Aircraft

CITE Title : Automated Inspection of Aircraft Creator(s) : Alberts, C.J.;Carroll, C.W.;Kaufman, W.M.;Perlee, C.J.;Siegel, M.W.; Corporate Creator(s) : Carnegie Mellon University. Carnegie Mellon Research Institute Corporate Contributor(s) : United States. Federal Aviation Administration. Office of Aviation Research Published Date : 1998-04-01 Report Number : DOT/FAA/AR-97/69 DOI : https://doi.org/10.21949/1404583 "Automated Inspection of Aircraft" (1998). https://doi.org/10.21949/1404583 "Automated Inspection of Aircraft" (1998), https://doi.org/10.21949/1404583 "Automated Inspection of Aircraft" , 1998, https://doi.org/10.21949/1404583 Export RIS Citation Information.

:

Alberts, C.J. ;

Carroll, C.W.

1998-04-01

:

This report summarizes the development of a robotic system designed to assist aircraft inspectors by remotely deploying non-destructive inspection (ND...
Established on Required Navigation Performance (EoR) (RNP): Human Factors Implementation Guidance for Air Traffic Control Facilities within the National Airspace System [Phase II Final Report]

CITE Title : Established on Required Navigation Performance (EoR) (RNP): Human Factors Implementation Guidance for Air Traffic Control Facilities within the National Airspace System [Phase II Final Report] Creator(s) : Thomas, Lauren;Serrato, Alicia; Corporate Creator(s) : Evans Incorporated;Architecture Technology Corporation; Corporate Contributor(s) : United States. Federal Aviation Administration. NextGen Human Factors Division (ANG-C1) Published Date : 2019-09-03 URL : /view/dot/50922 "Established on Required Navigation" (2019). "Established on Required Navigation Performance (EoR) (RNP): Human Factors Implementation Guidance for Air Traffic Control Facilities within the National Airspace System [Phase II Final Report]" (2019) "Established on Required Navigation Performance (EoR) (RNP): Human Factors Implementation Guidance for Air Traffic Control Facilities within the National Airspace System [Phase II Final Report]" , 2019 Export RIS Citation Information.

:

Thomas, Lauren ;

Serrato, Alicia

2019-09-03

:

The Federal Aviation Administration (FAA) NextGen Human Factors Division commissioned this research to identify and share lessons learned from air tra...
Predicting Vehicle Trajectories at Intersections Using Advanced Machine Learning Techniques

CITE Title : Predicting Vehicle Trajectories at Intersections Using Advanced Machine Learning Techniques Creator(s) : Jazayeri, Mohammad Sadegh;Jahangiri, Arash;Machiani, Sahar Ghanipoor; Corporate Creator(s) : San Diego State University;Safety through Disruption (Safe-D) University Transportation Center (UTC); Corporate Contributor(s) : United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;United States. Department of Transportation. University Transportation Centers (UTC) Program; Published Date : 2021-05-01 Report Number : SDSU-01-01 DOI : https://doi.org/10.15787/VTT1/AKKZ6V "Predicting Vehicle Trajectories at" (2021). https://doi.org/10.15787/VTT1/AKKZ6V "Predicting Vehicle Trajectories at Intersections Using Advanced Machine Learning Techniques" (2021), https://doi.org/10.15787/VTT1/AKKZ6V "Predicting Vehicle Trajectories at Intersections Using Advanced Machine Learning Techniques" , 2021, https://doi.org/10.15787/VTT1/AKKZ6V Export RIS Citation Information.

:

Jazayeri, Mohammad Sadegh ;

Jahangiri, Arash

2021-05-01

:

The ability to accurately predict vehicle trajectories is essential in infrastructure-based safety systems that aim to identify critical events such a...
Use of Crowdsourced Data for Access Management Evaluation

CITE Title : Use of Crowdsourced Data for Access Management Evaluation Creator(s) : Albert, Debbie;Jha, Kartikeya;Ramenzani, Mahin;Steadman, Max;Glover, Brianne;Luke, Albert; Corporate Creator(s) : Texas A&M Transportation Institute;University of South Florida. Center for Urban Transportation Research; Corporate Contributor(s) : United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2024-02-01 DOI : https://doi.org/10.5038/CUTR-NICR-Y3-1-8 "Use of Crowdsourced Data" (2024). https://doi.org/10.5038/CUTR-NICR-Y3-1-8 "Use of Crowdsourced Data for Access Management Evaluation" (2024), https://doi.org/10.5038/CUTR-NICR-Y3-1-8 "Use of Crowdsourced Data for Access Management Evaluation" , 2024, https://doi.org/10.5038/CUTR-NICR-Y3-1-8 Export RIS Citation Information.

:

Albert, Debbie ;

Jha, Kartikeya

2024-02-01

:

The impacts of access management projects have been evaluated, documented, and debated by practitioners and adjacent property owners for decades. This...
Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections

CITE Title : Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections Creator(s) : Zong, Shuya;Chen, Sikai;Alinizzi, Majed;Labi, Samuel; Corporate Creator(s) : Center for Connected and Automated Transportation (CCAT);Purdue University;Carnegie Mellon University;Qassim University, Buraydah, Saudi Arabia; Corporate Contributor(s) : United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2022-03-29 DOI : https://doi.org/10.3390/su14074034 "Leveraging UAV Capabilities for" (2022). https://doi.org/10.3390/su14074034 "Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections" (2022), https://doi.org/10.3390/su14074034 "Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections" , 2022, https://doi.org/10.3390/su14074034 Export RIS Citation Information.

:

Zong, Shuya ;

Chen, Sikai

2022-03-29

:

Transportation agencies continue to pursue crash reduction. Initiatives include the design of safer facilities, promotion of safe behaviors, and asses...
Non-Connected Vehicle Detection Using Connected Vehicles

CITE Title : Non-Connected Vehicle Detection Using Connected Vehicles Creator(s) : Liu, Yongyang;Zhou, Anye;Wang, Yu;Peeta, Srinivas; Corporate Creator(s) : Georgia Institute of Technology;Purdue University;Center for Connected and Automated Transportation (CCAT); Corporate Contributor(s) : United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology;United States. Department of Transportation. University Transportation Centers (UTC) Program; Published Date : 2022-12-01 Report Number : CCAT Report #24 DOI : http://dx.doi.org/10.5703/1288284317646 "Non-Connected Vehicle Detection Using" (2022). http://dx.doi.org/10.5703/1288284317646 "Non-Connected Vehicle Detection Using Connected Vehicles" (2022), http://dx.doi.org/10.5703/1288284317646 "Non-Connected Vehicle Detection Using Connected Vehicles" , 2022, http://dx.doi.org/10.5703/1288284317646 Export RIS Citation Information.

:

Liu, Yongyang ;

Zhou, Anye

2022-12-01

:

Connected vehicle (CV) technologies are entering the realm of deployment. They have the potential to help drivers make safe, reliable, and informed de...
Smart Work Zone Control and Performance Evaluation Based on Trajectory Data

CITE Title : Smart Work Zone Control and Performance Evaluation Based on Trajectory Data Creator(s) : Xie, Yuanchang;Bhuyan, Zubin;Liu, Ruifeng;Liu, Benyuan (Ben); Corporate Creator(s) : University of Massachusetts at Lowell Corporate Contributor(s) : Massachusetts. Dept. of Transportation. Office of Transportation Planning;United States. Department of Transportation. Federal Highway Administration; Contributor(s) : O'Connor, Corey Published Date : 2024-05-01 Report Number : 24-053 URL : /view/dot/75768 "Smart Work Zone Control" (2024). "Smart Work Zone Control and Performance Evaluation Based on Trajectory Data" (2024) "Smart Work Zone Control and Performance Evaluation Based on Trajectory Data" , 2024 Export RIS Citation Information.

:

Xie, Yuanchang ;

Bhuyan, Zubin

2024-05-01

:

Work zone control strategies, such as taper length and transverse rumble strips, have the potential to significantly impact traffic operations and saf...
Proof of Concept for the Trajectory-Level Validation Framework for Traffic Simulation Models

CITE Title : Proof of Concept for the Trajectory-Level Validation Framework for Traffic Simulation Models Creator(s) : Xyntarakis, Michalis;Alexiadis, Vassili;Campbell, Robert;Flanigan, Erin;Punzo, Vincenzo;Skabardonis, Alexander; Corporate Creator(s) : Cambridge Systematics Corporate Contributor(s) : United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office;United States. Department of Transportation. Federal Highway Administration. Office of Operations; Published Date : 2017-10-30 Report Number : FHWA-JPO-16-407 URL : /view/dot/34397 "Proof of Concept for" (2017). "Proof of Concept for the Trajectory-Level Validation Framework for Traffic Simulation Models" (2017) "Proof of Concept for the Trajectory-Level Validation Framework for Traffic Simulation Models" , 2017 Export RIS Citation Information.

:

Xyntarakis, Michalis ;

Alexiadis, Vassili

2017-10-30

:

Based on current practices, traffic simulation models are calibrated and validated using macroscopic measures such as 15-minute averages of traffic co...
Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 1 - Basic Arterial Travel–Stop-Controlled Intersections

CITE Title : Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 1 - Basic Arterial Travel–Stop-Controlled Intersections Creator(s) : Soleimaniamiri, Saeid;Li, Xiaopeng (Shaw);Yao, Handong;Ghiasi, Amir;Vadakpat, Govind;Bujanovic, Pavle;Lochrane, Taylor;Stark, John;Blizzard, Katherine;Hale, David; Corporate Creator(s) : Leidos, Inc.;University of South Florida; Corporate Contributor(s) : United States. Federal Highway Administration Published Date : 2021-08-01 Report Number : FHWA-HRT-21-070 URL : /view/dot/57289 "Cooperative Automation Research: CARMA" (2021). "Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 1 - Basic Arterial Travel–Stop-Controlled Intersections" (2021) "Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 1 - Basic Arterial Travel–Stop-Controlled Intersections" , 2021 Export RIS Citation Information.

:

Soleimaniamiri, Saeid ;

Li, Xiaopeng (Shaw)

2021-08-01

:

Cooperative driving automation (CDA) aims to improve the safety, traffic throughput, and energy efficiency of the transportation network by allowing v...
Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 4 - Dynamic Lane Assignment

CITE Title : Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 4 - Dynamic Lane Assignment Creator(s) : Soleimaniamiri, Saeid;Li, Xiaopeng (Shaw);Yao, Handong;Ghiasi, Amir;Vadakpat, Govind;Bujanovic, Pavle;Lochrane, Taylor;Stark, John;Hale, David;Racha, Sujith; Corporate Creator(s) : Leidos, Inc.;University of South Florida; Corporate Contributor(s) : United States. Federal Highway Administration Published Date : 2021-09-01 Report Number : FHWA-HRT-21-068 URL : /view/dot/58024 "Cooperative Automation Research: CARMA" (2021). "Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 4 - Dynamic Lane Assignment" (2021) "Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 4 - Dynamic Lane Assignment" , 2021 Export RIS Citation Information.

:

Soleimaniamiri, Saeid ;

Li, Xiaopeng (Shaw)

2021-09-01

:

Cooperative driving automation (CDA) aims to improve the safety, traffic throughput, and energy efficiency of the transportation network by allowing v...
Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 2

CITE Title : Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 2 Creator(s) : Soleimaniamiri, Saeid;Li, Xiaopeng (Shaw);Yao, Handong;Ghiasi, Amir;Vadakpat, Govind;Bujanovic, Pavle;Lochrane, Taylor;Stark, John;Blizzard, Katherine;Hale, David;Racha, Sujith; Corporate Creator(s) : Leidos, Inc.;University of South Florida; Corporate Contributor(s) : United States. Federal Highway Administration. Office of Operations Research and Development Published Date : 2021-09-01 Report Number : FHWA-HRT-21-069 URL : /view/dot/58020 "Cooperative Automation Research: CARMA" (2021). "Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 2" (2021) "Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 2" , 2021 Export RIS Citation Information.

:

Soleimaniamiri, Saeid ;

Li, Xiaopeng (Shaw)

2021-09-01

:

CARMASM is an initiative to enable collaboration for research and development of cooperative driving automation (CDA). The goal of CDA is to improve s...
FHWA Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 3 – Traffic Signal Optimization With CDA at Signalized Intersections

CITE Title : FHWA Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 3 – Traffic Signal Optimization With CDA at Signalized Intersections Creator(s) : Soleimaniamiri, Saeid;Li, Xiaopeng (Shaw);Yao, Handong;Ghiasi, Amir;Vadakpat, Govind;Bujanovic, Pavle;Lochrane, Taylor;Stark, John;Racha, Sujith;Hale, David; Corporate Creator(s) : Leidos, Inc.;University of South Florida; Corporate Contributor(s) : United States. Federal Highway Administration Published Date : 2022-01-01 Report Number : FHWA-HRT-22-052 URL : /view/dot/61035 "FHWA Cooperative Automation Research:" (2022). "FHWA Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 3 – Traffic Signal Optimization With CDA at Signalized Intersections" (2022) "FHWA Cooperative Automation Research: CARMA Proof-of-Concept Transportation System Management and Operations Use Case 3 – Traffic Signal Optimization With CDA at Signalized Intersections" , 2022 Export RIS Citation Information.

:

Soleimaniamiri, Saeid ;

Li, Xiaopeng (Shaw)

2022-01-01

:

Cooperative driving automation (CDA) aims to improve the safety, traffic throughput, and energy efficiency of the transportation network by allowing v...
Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report

CITE Title : Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report Creator(s) : Seitz, Timothy;Karanjkar, Sayali;Ma, Jiaqi;Xia, Xin;James, Rachel M.; Corporate Creator(s) : Transportation Research Center Inc Corporate Contributor(s) : United States. Federal Highway Administration. Office of Safety and Operations Research and Development Contributor(s) : Foley, Jennifer Published Date : 2024-03-01 Report Number : FHWA-HRT-24-084 URL : /view/dot/74232 "Advanced Driver Assistance System-Equipped" (2024). "Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report" (2024) "Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report" , 2024 Export RIS Citation Information.

:

Seitz, Timothy ;

Karanjkar, Sayali

2024-03-01

:

Connected and automated vehicle (CAV) technology has been driving multi-billion-dollar investments for over a decade now. While no agreement exists on...
Effect of Pedestrian and Crowds on Vehicle Motion and Traffic Flow

CITE Title : Effect of Pedestrian and Crowds on Vehicle Motion and Traffic Flow Creator(s) : Hejase, Bilal;Saim, Muhammad;Yang, Dongfang;Ko, Mert;Johora, FatemaT;Redmill, Keith;Ozguner, Umit; Corporate Creator(s) : Mobility21, Carnegie Mellon University Corporate Contributor(s) : United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2023-07-25 URL : /view/dot/68737 "Effect of Pedestrian and" (2023). "Effect of Pedestrian and Crowds on Vehicle Motion and Traffic Flow" (2023) "Effect of Pedestrian and Crowds on Vehicle Motion and Traffic Flow" , 2023 Export RIS Citation Information.

:

Hejase, Bilal ;

Saim, Muhammad

2023-07-25

:

Vehicle-pedestrian interactions in shared spaces represents a complex safety problem. Ideally, the vehicle must react safely to any pedestrian behavio...
Energy-aware Trajectory Optimization of Connected and Automated Vehicle Platoons through a Signalized Intersection

CITE Title : Energy-aware Trajectory Optimization of Connected and Automated Vehicle Platoons through a Signalized Intersection Creator(s) : Han, Xiao;Ma, Rui;Zhang, H Michael; Corporate Creator(s) : University of California, Davis. Institute of Transportation Studies Corporate Contributor(s) : University of California Institute of Transportation Studies Published Date : 2019-06-01 Report Number : UC-ITS-2018-48, UCD-ITS-RR-19-11 DOI : https://doi.org/10.7922/G2ZW1J4R "Energy-aware Trajectory Optimization of" (2019). https://doi.org/10.7922/G2ZW1J4R "Energy-aware Trajectory Optimization of Connected and Automated Vehicle Platoons through a Signalized Intersection" (2019), https://doi.org/10.7922/G2ZW1J4R "Energy-aware Trajectory Optimization of Connected and Automated Vehicle Platoons through a Signalized Intersection" , 2019, https://doi.org/10.7922/G2ZW1J4R Export RIS Citation Information.

:

Han, Xiao ;

Ma, Rui

2019-06-01

:

Traffic signals, while serving an important function to coordinate vehicle movements through intersections, also cause frequent stops and delays, part...
Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems

CITE Title : Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems Creator(s) : Sarvestani, Sahra Sedigh;Hurson, Ali R.; Corporate Creator(s) : Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety Corporate Contributor(s) : United States. Department of Transportation. Research and Innovative Technology Administration Published Date : 2014-08-01 Report Number : NUTC R346;Project #00042531; URL : /view/dot/27974 "Quantitative Modeling of Failure" (2014). "Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems" (2014) "Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems" , 2014 Export RIS Citation Information.

:

Sarvestani, Sahra Sedigh ;

Hurson, Ali R.

2014-08-01

:

Unmanned vehicles are projected to reach consumer use within this decade - related legislation has already passed in California. The most significant ...

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