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.
Vehicle-to-Everything (V2X) technology, the ability of vehicles to communicate with each other, with the roadside infrastructure, and with other travelers such as pedestrians, presents the opportunity to prevent crashes, save lives, and to improve the efficiency and sustainability of our transportation network. Across the U.S., State and local agen
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Cost-effective collection and distribution of intersection data are needed to facilitate traffic operations at intersections in the HDV era and particularly, in the prospective era of CAVs. Existing methods are time consuming and costly. Phase I of this research (executed under CCAT Project Nr. 71) developed a cost-effective intersection data colle
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Automated vehicle (AV) functionality depends on perceiving and understanding the surrounding roadway environment and infrastructure elements. SAE International® Level 2™ driving automation systems use sensors to perceive the environment and maintain a set headway with lead vehicles while remaining centered in the lane (SAE International, 2020). Alt
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This study explored new vehicle to infrastructure (V2I) technology in construction work zones (CWZ), where speeding, unsafe driving behaviors, and drivers' failure to obey traffic signs contribute significantly to elevated accident rates and fatalities. The objective of this research to advance CWZ safety by evaluating the potential of 3-axis magne
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As we enter the next era of autonomous driving, robo-vehicles (which serve as low-cost and fully compliant drivers) are replacing conventional chauffeured services in the mobility market. During just the last few years, companies like Waymo Inc. and Cruise Inc. have already offered fully driverless robo-taxi services to the general public in cities
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Truck platooning can potentially increase the operational efficiency of freight movement on U.S. corridors, improving commercial productivity and economic vibrancy. Predicting the trajectory of each leading vehicle in an autonomous truck platoon using Artificial Intelligence (AI) can enhance platoon efficiency during unavailability of the real-time
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Minnesota. Department of Transportation. Research Services & Library
2024-11-20
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The MnDOT Autonomous Bus Pilot project consisted of deploying a Level 4 shuttle provided by EasyMile on the MnROAD facility. The bus was used for several rounds of public demonstrations as well as testing at the MnROAD facility during winter conditions. The bus could hold up to 12 people and had a range of typical driving speeds from 2 to 11 miles
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The Bear Tracks Automated Shuttle Pilot was a research project that included the 12-month operation (August 2022-July 2023) of a Level 3 Automated Vehicle (AV) Shuttle along a 1.5-mile-long route in the city of White Bear Lake. The shuttle itself was a self-driving, electric, multi-passenger vehicle that drove at a speed between 10-12 miles per hou
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This project focuses on the technological transfer of a robust perception algorithm previously developed to mitigate adversarial attacks, transforming it into a practical software tool with an intuitive interface. The initiative builds upon the prior project, Securing Deep Learning against Adversarial Attacks for Connected and Automated Vehicles, w
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Contribution: An autonomous vehicle hardware platform, called F1TENTH, is developed for teaching autonomous systems hands-on. This project will design and develop the education modules and software stack for teaching at various educational levels with the theme of ``racing" and competitions that replace exams. Background: College-level robotics cou
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Robot localization is the problem of finding a robot’s pose using a map and sensor measurements, like LiDAR scans or camera images. It is crucial for any moving autonomous vehicle to interact with the physical world correctly. However, finding injective mappings between measurements and poses is difficult because sensor measurements from multiple d
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Over the past decade, self-driving capability for all variants of on-street vehicles have promised safer and more efficient transportation. This remains “work in progress” with large unfilled gaps in addressing user-acceptance, safety, ethics, regulation, technology and the business model. Our goal is to develop the Open-source Autonomous Vehicle (
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Over the past decade, self-driving capability for all variants of on-street vehicles have promised safer and more efficient transportation. This remains “work in progress” with large unfilled gaps in addressing user-acceptance, safety, ethics, regulation, technology and the business model. Our goal is to develop the Open-source Autonomous Vehicle (
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With advances in communication, computation, and control technologies, fleets of Connected Autonomous Vehicles (CAV) can be deployed to flexibly provide on-demand transportation services in the near future. Therefore, it is important to start the development of CAV testbeds and piloted projects for the deployment of CAVs to complement some of the o
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Next generation connected transportation networks will require extensive communication capabilities with low-latency and high-reliability. Further, these systems rely on significant sensing capabilities in order to function, for example for autonomous routing. Joint communications and sensing is clearly going to be a pillar of 6G in order to facili
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Automated Vehicles (AV’s) can intermingle with pedestrians and cyclists when they are driving slowly in so- called “shared spaces”. In our previous work, we studied AVs' energy consumption and safety when occluded pedestrians appear suddenly in front of the AV. We will continue investigating and developing our "value of information" based approach
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The bipartite matching problem is widely applied in the field of transportation, e.g., to find optimal matches between supply and demand over time and space. Recent efforts have been made on developing analytical formulas to estimate the expected matching distance in bipartite matching with randomly distributed vertices in two- or higher-dimensiona
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While some congestion is expected at rural attractions such as national parks, theme parks, special sporting events, scenic points and the like, there are locations along the rural highway network that nearby attractions cause substantial congestion and/or unusually elevated traffic safety risk. This paper presents the case of two very popular tour
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The goal of this project is to study the critical scenario generation, design a testing framework, and use the generated scenarios to help the design of autonomous vehicle proving ground infrastructure aiming at the connected and autonomous vehicles evaluation. These scenarios should reflect the critical factors and risky driving conditions in the
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In this research, we draw on our ongoing partnerships with the Amalgamated Transit Union, the Transport Workers Union, and the AFL-CIO Technology Institute to understand the role of bus operators within the context of increased transit automation. Our early work together involved a group interview study of working bus operators across the United St
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