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 development of automated trucking technology is progressing rapidly, and increasing numbers of on-road pilots suggest that full-scale commercial deployment of partially automated truck platoons on public roads is forthcoming.(1) In the United States, platoons typically consist of two to four trucks equipped with cooperative adaptive cruise cont
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This report summarizes the potential impacts of driving automation on segments of the professional driving workforce in the United States, based largely on an analysis of published research findings and existing data sources. This section describes the scope, context, and methodology; following sections discuss potential workforce impacts, associat
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This report summarizes the data collected while operating three vehicles equipped with SAE automation level 2 driver assistance systems. Using cameras, driver-annotated video was recorded to document the systems’ availability and noteworthy operation. Notable events were classified into three categories: events where the vehicle terminated its auto
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Transportation electrification is playing an increasingly essential role in mitigating climate change, especially coupled with a sustainable energy system. However, proper placement of charging infrastructures and management of charging activities is the key to ensuring the environmental benefits from the widespread adoption of electric vehicles. E
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This project investigated how driver expectations about Level 2 ADAS systems affect driver engagement and performance. Many vehicles available to consumers offer some level of automated driving functionality, but the capabilities of these vehicles vary widely among makes and models. Drivers may have preconceived expectations about how these driver
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The objective of this research project is to help the Washington State Department of Transportation (WSDOT) identify the right time and location for selecting a corridor for connected vehicle (CV) implementation so that the technological needs and compatibilities are met and expected outcomes are significant. This research team surveyed twenty-one
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The objective of this project was to inventory the state of the practice for integrating AVs into the modeling process and to develop metrics, models and prototype tools for quantitative evaluation of AV scenario planning impacts. The outcome of the project is a usable framework and prototype planning model to establish the viability and access to
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The research aims at developing a resilient framework to be applied to transportation systems using connected and autonomous vehicles (CAVs). This innovation potentially responds to accident rates often related to inefficient communication systems, supported by a variety of state-of-the-art safety applications. A Vehicular Ad hoc Network (VANET) is
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Sharing location-based information and positioning vehicles with respect to that information has been one of the fundamental challenges in intelligent transportation for over two decades. As Connected and Automated Vehicles (C/AVs) and related data-intensive transportation network management solutions start to emerge, this research project assesses
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This project developed a method to characterize the impact of privately-owned autonomous electric vehicles on electric vehicle charger placement, distribution, utilization, and power demand. Using Seattle, WA as a case study, a least total cost optimization for charging station owner and driver costs is conducted for vehicle automation levels 0-3,
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This project studies methods to control both vehicle and traffic under limited penetration of low-level connected and autonomous vehicles (LCAVs). The investigation includes three major parts: (1) the Eco-Driving algorithm for a single CAV with low-level automation; (2) the vehicle in the loop (VIL) simulation platform; and (3) the integrated vehic
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This project developed the key modules and models for building a prototype smart mobility intersection testbed. The project proposed the key system design, developed the computer-vision based sensing module, created 3D infrastructure model, and explored a risk-based intersection traffic conflict analysis application as an application of the develop
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
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2020-12-01
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Connected vehicle (CV) technology is expected to significantly improve transportation systems due to the mobility, safety, and environmental benefits gained from connectivity between different vehicles and with infrastructure. Connectivity to real-time traffic signal data is a key component of CV applications and is enabled by wireless communicatio
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This report addresses a multitude of contemporary issues in highway safety, evolving transportation alternatives, and activity and travel behavior modelling. The report begins by studying issues relating to big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis, showing that a combination machine le
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Mobile and slow-moving operations, such as striping, sweeping, bridge flushing and pothole patching, are critical for efficient and safe operation of the highway transportation system. A successfully implemented leader-follower autonomous truck mounted attenuators (ATMA) system will eliminate all injuries to DOT employees in follow truck (FT) provi
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
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2020-12-01
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PDF
Connected vehicle (CV) technology is expected to significantly improve transportation systems due to the mobility, safety, and environmental benefits gained from connectivity between different vehicles and with infrastructure. Enabled by wireless communications, connectivity to real-time traffic signal data is a key component of CV applications. La
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Autonomous vehicles (AVs) are widely considered to be the future of surface transportation in the United States, but little is understood about how people will interact with these vehicles, what they will use them for, and how they will impact our roads. However, farmers have been interacting with some degree of AV technology, primarily auto-guidan
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This report summarizes the state of the practice in the application of advanced technologies to winter road maintenance operations. Information was captured through a combination of literature search, surveys, and interviews with key stakeholders. Several promising technologies were identified as areas of interest. These areas include connected aut
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The evolution of scientific advances has often been characterized by the amalgamation of two or more technologies. With respect to vehicle connectivity and automation, recent literature suggests that these two emerging transportation technologies can and will jointly and profoundly shape the future of transportation. However, it is not certain how
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Automated driving systems (ADS) have the potential to fundamentally change transportation, and a growing number of these systems have entered the market and are currently in use on public roadways. However, drivers may not use ADS as intended due to misunderstandings about system capabilities and limitations. Moreover, the real-world use and effect
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