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Automation of personal and transit vehicles will change the vehicles themselves, but also the right-of-way that governs their use. These changes bring an opportunity to improve transit systems. High capacity transit must become a more attractive mode of transit in order to remain competitive with personal and shared vehicles.
The city of Chandler, Arizona is preparing for autonomous vehicles’ impact on parking by allowing developers to provide less parking if they provide accommodations for ride-sharing and autonomous vehicles.
This report examines several scenarios of connected and automated vehicle (CAV) adoption rates and studies their potential impacts on fuel efficiency and consumer costs. The results found massive uncertainties in potential long-term energy impacts from fully automated and highly connected vehicles in the high adoption rate scenario and similar uncertainties in the other scenarios. The authors outline the gaps in existing research and suggest routes for further research in order of importance.
Recent research on autonomous vehicles (AV) has shown a substantive dive into the technical aspects of AVs, but our understanding of the secondary effects of AVs is minimal in comparison (Glancy, 2015; Mitteregger, Soteropoulos, Bröthaler, & Dorner, 2019; Terry & Bachmann, 2019). This article offers a look at how automation of one of the cornerstones of many municipal government—solid waste collection—could be altered with the advent of AVs.
The development of automated vehicles is moving into the deployment phase. Automation is being tested in vehicles as well as buses, trains, trucks, and tractors. Some initial deployment could occur in Oregon in the form of pilot programs for a low-speed passenger shuttle and a truck-mounted attenuator. This guide focuses on potential impacts for the next five to fifteen years and discusses policy implications for each use case of automated vehicles.
Self-driving cars will be first available to robotaxi-fleet operators, not private owners. This availability restriction comes from the expensive nature of LIDAR sensors that make the sensors themselves more expensive than the rest of the vehicle. The safety and reliability of automated vehicles also impacts their ability to be privately owned, at least at first. Safe and reliable vehicle operation is easier to achieve when the vehicles operate within a geographic range that has been mapped in detail, meaning automated vehicles will mainly operate in city centers in their early stages of adoption. These considerations driving automated vehicles toward fleet ownership will have impacts on many areas of the automotive industry.
Existing studies do not distinguish between connected and autonomous vehicles while examining their effects of the driving environment. This article conducts studies with distinguished vehicle types to establish a framework of several adoption scenarios to analyze the stability of the resulting traffic stream. The results demonstrated the ability of connected and autonomous vehicles to improve string stability. The study also found that automation was more effective at preventing shockwave formation and propagation. Under certain model scenarios, potential throughput also increased.
Ford will have a fully autonomous vehicle in commercial operation by 2021. Ford's vehicle will not have a steering wheel, gas pedal, or brake pedal, and will operate within geo-fenced areas as part of a ride sharing or ride hailing program.
Autonomous vehicles are on their way to becoming the next leap in technological advancement. Sensor technology, computing capacity, and artificial intelligence are some of the main technologies that need major development to make autonomous vehicles feasible to adopt on a large scale.
Two fatalities involving autonomous vehicles (AVs) have raised the prominence of safety concerns within AV testing. Many states have considered or enacted regulations on AV testing, while availability of data collected on testing remains difficult to access.
This report develops a framework for measuring safety in automated vehicles. It ranges in considerations from measuring safety in artificial development phases to deployment phases.
The report is intended to provide guidance to Australia and New Zealand in planning road changes for the introduction of automated vehicles. Key issues that are discussed in this report include physical infrastructure, digital infrastructure, and road operations. The analysis of each issue includes different possible use cases of automated vehicles and includes discussion of optimal conditions required to support the introduction of automated vehicles.
The National Highway Traffic Safety Administration outlines the progression of automated vehicle technology and the ways it will improve safety. The NHTSA released safety guidelines for industry, states, and policymakers in 2017 (Automated Driving Systems: A Vision for Safety), and an expanded set of guidelines in 2018 (Preparing for the Future of Transportation: Automated Vehicles 3.0). Both documents are linked in the NHTSA in Action section at the end of this report.
The purpose of this report is to analyze potential impacts and offer recommendations for the cities of Gresham and Eugene, OR, to understand the potential impacts of new mobility technologies – with an emphasis on autonomous vehicles (AVs) – and prepare a policy and programmatic response. While Gresham and Eugene are case studies, it provides mid-sized communities information on how new mobility services could impact their communities and what they can do about it, from broad strategies to specific policy responses. While this work focuses on the various new mobility and goods delivery services that currently exist, the framework that is discussed here is also applicable to emerging technologies that haven’t yet been introduced, such as autonomous vehicles (AVs).
This report summarizes the major assumptions, predictions and forecasts that have been made for autonomous vehicles. It emphasizes their impact and takes focus on the effects it will have on previously immobile people and what it will take to integrate them legislatively.
The goal of this white paper is to consider the impact of AVs on municipal budgets. AVs create a “potential rat’s nest of a budgeting challenge.” This paper seeks to begin the process of untangling that rat’s nest, and provide the foundation for future phases of the project that will consider potential additional revenue sources to fund the infrastructure changes that may come from the integration of AVs as well as land use planning implications.
Residential Preference: the social, environmental, and physical preferences that affect a person or family’s choice of residential location (for our purposes, in relation to the urban core and other amenities offered as a part of living in density) The introduction of autonomous vehicles and the comprehensive integration of E-commerce into the urban and suburban fabric will have a widespread effect on the factors the influence a resident’s location preference.
The University of Oregon conducted research for the cities of Portland, Seattle, and Vancouver to understand how the deployment of autonomous vehicles may impact greenhouse gas (GHG) emissions. Based on the range of possible outcomes, the cities hope to better understand the policies and programmatic choices available to mitigate negative impacts of AVs and ensure that they can accomplish the goals stated in their climate action, land use, and transportation plans. By working together, each city hopes to learn from each other—as well as cities from across North America—to achieve their climate-related goals.
The transportation sector accounts for the largest portion of greenhouse gas (GHG) emissions compared to all other sectors, and GHGs are once again on the rise. At the same time, new mobility technologies are being introduced and fully autonomous vehicles (AVs) are anticipated to be deployed, at least to varying extents, within 5-10 years. (Waymo, Google’s self-driving project, is already operating a limited robotaxi service in Phoenix, AZ with a fleet of AVs.) AVs have the potential to improve safety, reduce congestion, and increase mobility— but they could also increase congestion, increase vehicle miles/ kilometers traveled (VMT/VKT), and erode transit, walk, and bike mode share, exacerbating existing conditions. The cities of Portland, OR; Seattle, WA; and Vancouver, BC have adopted climate action plans with the goal of dramatically reducing GHG emissions. This policy brief is intended to help the three cities better understand how AVs may help or hinder them in achieving their goals, and what recommended actions to take at this critical moment in time.
Autonomous vehicles (AVs) are a near future reality and the implications of AVs on city development and urban form, while potentially widespread and dramatic, are not well understood. This report describes the first order impacts, or the broad ways that the form and function of cities are already being impacted by forces of change including—but not limited to—AVs and related technologies.
Today, warehouses are transforming into massive “mega-distribution centers” located in increasingly suburban areas. However, the rapid delivery expectations of E-commerce will also perpetuate the need for a network of local, smaller-scale supply points.
The Mcity driverless shuttle began operating on the University of Michigan's campus in June 2018. This report focuses on how the researchers collected data and designed the project in order to achieve the project goals of leaning how people react to riding in the shuttles and a how road users interact with the driverless shuttles.
"In 2017, the City of Arlington contracted with the autonomous shuttle company EasyMile to begin the first self-driving shuttle program open to the public in the United States. From August 2017 to August 2018, the Milo vehicles operated on off-street trails that connect major entertainment venues with remote parking areas. The program’s name represents mile zero - the point at which guest arrive at their destination. Milo operated at over 110 events during the program with a perfect safety record."
This report categorizes and summarizes efforts that are already underway in cities across the world to rethink curb management, to outline the key takeaways from the one-day workshop that involved city staff from Portland, Seattle, and Vancouver, and to identify major research gaps.
This paper is concerned with the relationship between road infrastructure and safety for both conventional and increasingly-autonomous vehicles as the latter become more common on road networks. Understanding the current situation and looking forward may relieve some of the anxieties described above. The paper provides a framework for considering these issues and works within the structure of the Johari Window.
Motion sickness is a serious consideration on any car trip where you’re not driving. So what are we supposed to do in self-driving vehicles? Researchers are finally looking into this question with an experiment designed to see just what makes people like us so sick.
This is an exercise that deconstructs an urban and a suburban streetscape using the Restreet.com participatory design tool. Restreet was created by William Riggs, Mike Boswell and Ryder Ross in 2016 as a code fork from the Code for America project Streetmix. The idea was to democratize the way we plan streets and synthesize that data for policy and decision-making. The streets depicted show right-of-way needs eroding due to the prevalence of autonomous vehicles creating efficiency or the policy decision to do so in advance of their adoption. The final two slides show the submissions from the over 6,000 users since September and the related summary statistics. All suggest that policy that supports traffic calming and lane reductions to support multimodal transportation might be appropriate in the immediate future.
The mundane automobile is about to disrupt your life. Thanks to rapid advance in mobile robotics, cars are poised to morph into the first mainstream autonomous robots that we will entrust with our lives. After almost a century of failed attempts to automate driving, modern hardware technology, and a new generation of artificial intelligence software called deep learning, are giving cars human0level ability to safely guide themselves through unpredictable environments. This book tells the story of this revolution.
In the second decade after Henry Ford's Model T first rolled off the assembly line, inventors were working to eliminate the weakest link in the chain – the driver. Nearly a century later, that effort is finally coming to fruition. With it could come either better and safer lives or a lifestyle change for the worse. The book explores both futures, as well as the shades of gray between them, and offers a recipe for the best outcome.
Blog post about AV deployment timelines self-predicted by 11 top auto manufacturers.
With the potential to save nearly 30,000 lives per year in the United States, autonomous vehicles portend the most significant advance in auto safety history by shifting the focus from minimization of post-crash injury to collision prevention. I have delineated the important public health implications of autonomous vehicles and provided a brief analysis of a critically important ethical issue inherent in autonomous vehicle design. The broad expertise, ethical principles, and values of public health should be brought to bear on a wide range of issues pertaining to autonomous vehicles.
This policy paper focuses on the primary concept of the street as space that can be repurposed – real estate that can be allocated in similar or different ways than done currently. Cities generally refer to this publicly owned and regulated space from one side of the street to the other as the right of way (ROW). Our focus is on the centrality of the ROW in dictating many other community functions and values – transportation and otherwise. And our particular bias is to focus on the opportunities that AV technology is likely to create to rethink how the ROW is allocated, so that our communities can meet their substantial and unique environmental, social, and economic challenges.
This report was developed to inform a Federal Highway Administration (FHWA) workshop, held in September 2015, exploring emerging technological trends in transportation. This paper provides an overview of select developing transportation technologies and includes a discussion of the policy implications of these new technological trends.
This paper, for the first time, presents comparable projections of travel behavior impacts of the introduction of autonomous vehicles (AVs) into the private car fleet for two countries, namely the USA and Germany. The focus is on fully autonomous vehicles (AVs) which allow drivers to engage in other activities en route. Two 2035 scenarios – a trend scenario and an extreme scenario – are presented for both study countries. For these projections, we combine a vehicle technology diffusion model and an aspatial travel demand model. Factors that influence AV impact in the behavioral model are mainly new automobile user groups, e.g. travelers with mobility impairments, and altered generalized costs of travel, e.g. due to a lower value of travel time savings for car travel. The results indicate that AV penetrations rates might be higher in Germany (10% or 38% respectively) than in the USA (8% or 29% respectively) due to a higher share of luxury cars and quicker fleet turnover. On the contrary, the increase of vehicle mileage induced by AVs is not higher in Germany (+2.4% or +8.6% respectively) than in the USA (+3.4% or +8.6% respectively). This is mainly due to the lack of mode alternatives and lower fuel costs resulting in a higher share of travel times among the total generalized costs of travel in the USA. These results clearly indicate that context factors shaped by national policy will influence AV adoption and impact on travel demand changes. Based on these results the paper draws policy recommendations which will help to harness the advantages of AVs while avoiding their negative consequences.
As a strategic roadmap, this document does not commit to specific budgets or metrics but serves as a vision and communications document to capture a wide variety of viewpoints into Austin’s mobility future. This roadmap will be incorporated into the larger Austin Strategic Mobility Plan to be finalized and approved at a future date. Critical to the development of the broader Mobility Plan will be an extensive analysis of the resource requirements for implementation of this shared, electric and autonomous vehicle (e-av) Roadmap.
This document includes the interests of most, if not all, major issues surrounding the impact AVs will have on our communities, government, and environment once they land.
Continuous and dynamic growth in demand for road transport, especially in developing countries, causes increase of greenhouse gases (GHG) emissions. At the same time the emissions of toxic components of exhaust gases harmful to human health and the environment enhance – particulate matter, nitrogen oxides, carbon monoxide and others. In particular, GHG emission and increase their concentration in the atmosphere, where road transport is the largest issuer in the transport sector, become one of the most important global problems. So far actions towards reducing energy consumption and emissions have not caused a decrease in global emissions. The aim of authors of this paper is to analyze the potential for AV to reduce GHG emissions from road transport. The analysis includes not only technical and technological issues, but also organizational and in the management of transport demand.
The Transportation Authority’s “Emerging Mobility Evaluation Report” provides the first comprehensive look at the rapidly evolving emerging mobility sector in San Francisco. The report outlines the range of services operating in San Francisco, covering everything from ride-hail services to autonomous vehicles and microtransit to scooter sharing. In the report, the Transportation Authority evaluates how these services and technologies align with the city’s 10 Guiding Principles related to collaboration, safety, transit, congestion, sustainability, equitable access, accountability, labor, disabled access, and financial impact.
"This Future of Mobility White Paper is intended to inform and guide policymakers and modelers developing the next iteration of the CTP –CTP 2050 –by presenting updated descriptions and analyses of developments impacting California’s transportation system."
"Connected and automated vehicle (CAV) technologies have the potential to change transportation on a global scale. These technologies could improve safety, significantly alter transportation costs, and change traffic patterns and congestion." This time is now to begin having these conversations about how CAVs may integrate into our cities and the impact they could have on land use.
This blog talks about how the autonomous vehicles will change the built environment such as street design, parking infrastructure, public space, etc. It also mentions how different modes can be integrated with the change of built environment.
Although recent studies of Shared Autonomous Vehicles (SAVs) have explored the economic costs and environmental impacts of this technology, little is known about how SAVs can change urban forms, especially by reducing the demand for parking. This study estimates the potential impact of SAV system on urban parking demand under different system operation scenarios with the help of an agent-based simulation model. The simulation results indicate that we may be able to eliminate up to 90% of parking demand for clients who adopt the system, at a low market penetration rate of 2%. The results also suggest that different SAV operation strategies and client's preferences may lead to different spatial distribution of urban parking demand.
One of the public policy goals for livable and sustainable communities is to minimize the use of automobiles. This paper focuses on introducing and justifying an important new policy principle. Even when car travel is minimized with smart growth land development policies, transportation demand management, and increased public transit, a significant level of automobile use will remain. As a result, reducing the environmental, economic and safety impacts of those remaining automobiles should be an essential element of a livable, sustainable community. Fortunately, fundamental and disruptive technological advances in new vehicles—automation, connectivity, and electrification as described in this paper are fast emerging to make this new priority feasible.
This report summarizes the major assumptions, predictions and forecasts that have been made for autonomous vehicles. It emphasizes their impact and takes focus on the effects it will have on previously immobile people and what it will take to integrate them legislatively.
Currently, little planning is being done to prepare for driverless technology. Actors at multiple levels, however, have tools at their disposal to help ensure that new technology does not come at the expense of the nation’s remaining natural habitats. This Article advocates for a shift in paradigm from policies that are merely anti-car to those that are pro-density, and provides suggestions for both cities and suburban areas for how harness the positive aspects of driverless cars while trying to stem the negative. Planning for density regardless of technology will help to ensure that, for the world of the future, there is actually a world.
This Blueprint outlines a vision for cities in a future where automated transportation is both accepted and widespread as part of the built environment. It is a human oriented vision for the potential of city streets, intersections, and networks-one in which automation can serve the goals of safety, equity, public health, and sustainability.
This report, BCG's latest on autonomous vehicles, examines the case for AVs as a cornerstone of the urban mobility revolution, as seen through experience of Boston. It describes transportation challenges, strategic considerations, scenario modeling and simulations, field testing. We hope that leaders in the public and private sectors who are considering nuw urban mobiliy models will benefit from these reflections and recommendations on Boston's experience thus far.
"To gauge the opinions of everyday Americans on this complex and far-reaching topic, the survey presented respondents with four different scenarios relating to automation technologies. Collectively, these scenarios speak to many of the hopes and concerns embedded in the broader debate over automation and its impact on society. The scenarios included: the development of autonomous vehicles that can operate without the aid of a human driver; a future in which robots and computers can perform many of the jobs currently done by human workers; the possibility of fully autonomous robot caregivers for older adults; and the possibility that a computer program could evaluate and select job candidates with no human involvement."
The presentation given to the city council goes over the potential the future of the City of Vancouver has to offer and what the next steps may be.
This report combines recently published research and newly available data from a national travel survey and other sources to create the first detailed profile of TNC ridership, users and usage. The report then discusses how TNC and microtransit services can benefit urban transportation, how policy makers can respond to traffic and transit impacts, and the implications of current experience for planning and implementation of shared autonomous vehicles in major American cities.
This report recommends potential research and policies that will help shape progress towards that vision. It also clarifies some opportunities and preparatory work for TransLink to consider as an operator. These are explained in the body.
"As automated vehicle technologies advance, they have the potential to dramatically reduce the loss of life each day in roadway crashes. To support industry innovators and States in the deployment of this technology, while informing and educating the public, and improving roadway safety through the safe introduction of the technology, NHTSA presents Automated Driving Systems: A Vision for Safety. It is an important part of DOT’s multimodal efforts to support the safe introduction of automation technologies. In this document, NHTSA offers a nonregulatory approach to automated vehicle technology safety."
Automated vehicle (AV) policy development and assessment is a difficult and complicated process. Today’s road and vehicle policies are the product of a hundred years of lessons learned. They generally address five areas: safety, efficiency, mobility, convenience, and impact on the environment. Now the prospect-turned-reality of automated vehicles entering public roadways has opened up a number of new policy-related questions. Is it enough to simply modify current road and vehicle policies or will new policies need to be developed addressing much broader aspects of the transportation system? How can these policies be developed to accommodate technologies that either do not yet exist or are only now being tested on the road in constrained environments? Perhaps most importantly, how can policy influence technological design to safely operate with other road users and can we look ahead to have a better view of potential unintended consequences?
The main objective of this research project is to provide FDOT with information and guidance on how best to begin to prepare for a future in which AV technology first takes root and then takes over the market. The FSU Research Team is investigating the potential impacts of widespread adoption of AV technology on the transportation network and urban form for four key land use and transportation nodes that are vital to the welfare of the State of Florida: Downtown, Office/Medical/University Center, Urban Arterial, and Transit Neighborhood. To accomplish this, the FSU Research Team engaged one-hundred planners, engineers, industry professionals, and public officials in a facilitated visioning session at the 2015 Florida Automated Vehicle Summit (FAV Summit). During this session the research team gathered input on how AVs will impact our communities and how the built environment will need to adapt to accommodate AVs in the coming decades.
Local governments, municipal planning organizations, and transit agencies are understandably circumspect in their actions to regulate autonomous vehicles. Policymakers must strike a delicate balance between crafting forward-thinking regulations and being so quick-to-act that decisions are rendered obsolete by the changing marketplace. In this case, however, it is crucial that metropolitan actors do not fall behind the wave of technological progress—now is the moment to envision their ideal land use and transportation scenarios.
"In this paper we propose a new method to study how replacing privately owned conventional vehicles with automated ones affects traffic delays and parking demand in a city. The model solves what we designate as the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP), which dynamically assigns family trips in their automated vehicles in an urban road network from a user equilibrium perspective where, in equilibrium, households with similar trips should have similar transport costs.
"Our City of the Future: Technology and Mobility report is meant to help city leaders understand, imagine and plan for the coming changes in the urban environment that will affect how we all move from one place to another."
"This paper provides a review of scenarios on these issues to date. Although some scenario studies provide useful insights about urban growth and change, very few consider detailed impacts of AVs on urban form, such as the density and mix of functions, the layout of urban development and the accessibility of locations, including the distance to transit."
"Our primary focus is travel related energy consumption and emissions, since potential lifecycle impacts are generally smaller in magnitude. We explore the net effects of automation on emissions through several illustrative scenarios, finding that automation might plausibly reduce road transport GHG emissions and energy use by nearly half – or nearly double them – depending on which effects come to dominate."
The Atlanta Regional Commission (ARC) has, through scenario planning, already begun to consider the effects that emerging technologies such as AVs and accelerated broadband might have on travel patterns. This report moves another step forward. It identifies and explores transportation technology trends, their potential impacts, and their policy implications, both generally and those specific to the Atlanta region. The result is intended to help support the Atlanta region in developing a regional transportation technology program to prepare for and take advantage of technology innovations in support of the region’s goals.
SAFE believes that AV-related labor displacement concerns—many of which have been expressed sensationally—must be addressed seriously rather than merely dismissed out of hand or repeated without verification. In response to these concerns, SAFE commissioned a panel of highly regarded transportation and labor economists to conduct a fact-based and rigorous assessment of the economic costs and benefits of AVs, including labor impacts.
This article describes the potential need for an increase in taxes for City municipalities to maintain their budgets as a decrease in speeding and red-light tickets had the potential to become nonexistent due to autonomous vehicles.
This report compares and analyzes the "relative advantages and disadvantages of autonomous and connected large trucks relative to light-duty vehicles."
Different business models of AVs, including Shared AVs (SAVs) and Private AVs (PAVs), will lead to significantly different changes in regional vehicle inventory and Vehicle Miles Traveled (VMT). Most prior studies have already explored the impact of SAVs on vehicle ownership and VMT generation. Limited understanding has been gained regarding vehicle ownership reduction and unoccupied VMT generation potentials in the era of PAVs. Motivated by such research gap, this study develops models to examine how much vehicle ownership reduction can be achieved once private conventional vehicles are replaced by AVs and the spatial distribution of unoccupied VMT accompanied with the vehicle reduction. The models are implemented using travel survey and synthesized trip profile from Atlanta Metropolitan Area. The results show that more than 18% of the households can reduce vehicles, while maintaining the current travel patterns. This can be translated into a 9.5% reduction in private vehicles in the study region. Meanwhile, 29.8 unoccupied VMT will be induced per day per reduced vehicles. A majority of the unoccupied VMT will be loaded on interstate highways and expressways and the largest percentage inflation in VMT will occur on minor local roads. The results can provide implications for evolving trends in household vehicles uses and the location of dedicated AV lanes in the PAV dominated future.
Autonomous vehicles will have a major impact on parking facility designs in the future. Compared to regular car-parks that have only two rows of vehicles in each island, future car-parks (for autonomous vehicles) can have multiple rows of vehicles stacked behind each other. Although this multi-row layout reduces parking space, it can cause blockage if a certain vehicle is barricaded by other vehicles and cannot leave the facility. To release barricaded vehicles, the car-park operator has to relocate some of the vehicles to create a clear pathway for the blocked vehicle to exit. The extent of vehicle relocation depends on the layout design of the car-park. To find the optimal car-park layout with minimum relocations, we present a mixed-integer non-linear program that treats each island in the car-park as a queuing system. We solve the problem using Benders decomposition for an exact answer and we present a heuristic algorithm to find a reasonable upper-bound of the mathematical model. We show that autonomous vehicle car-parks can decrease the need for parking space by an average of 62% and a maximum of 87%. This revitalization of space that was previously used for parking can be socially beneficial if car-parks are converted into commercial and residential land-uses.
Wondering what is happening in legislation across the country? This report is updated as of 2017 as to what different states are doing to prepare for the arrival of Autonomous Vehicles.
Transit bus automation could deliver many potential benefits, but transit agencies need additional research and policy guidance to make informed deployment decisions. Although funding and policy constraints may play a role, there is also a reasonable unwillingness to risk public funding or to undertake new operational models without a full understanding of the approach or without federal leadership and guidance. The purpose of this report is to define a five-year Strategic Transit Automation Research Plan that will establish a research and demonstration framework to move the transit industry forward. Key components of the Plan include conducting enabling research, identifying and resolving barriers to deployment, leveraging technologies from other sectors, demonstrating market-ready technologies, and transferring knowledge to the transit stakeholder community.
This study examines the potential changes in residential location choice in a scenario where shared autonomous vehicles (SAVs) are a popular mode of travel in the Atlanta metropolitan area. This hypothetical study is based on an agent-based simulation approach, which integrates residential location choice models with a SAV simulation model. The coupled model simulates future home location choices given current home location preferences and real estate development patterns. The results indicate that commuters may relocate to neighborhoods with better public schools and more amenities due to reductions in commute costs.
This edition of the Blueprint is organized into three parts, taking the reader through the principles and political structures that underscore and shape our vision of the future, key policy choices around transit, pricing, freight, and data that can reshape our cities, and finally, exploring the sweeping vision for city streets of the future: Shaping the Autonomous Future Today, Policies to Shape the Autonomous Age, and Design for the Autonomous Age
This municipal action guide is meant to give cities the ability to better understand and approach the impending roll out of autonomous vehicles in their cities. We hope to lay out the current typologies of how cities and other levels of government are working together with the private sector to begin to integrate self-driving cars onto the roadways.
This resolution by the Governor of Washington speaks support for the testing of autonomous vehicles in the state of Washington.
This work describes the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use. Preliminary results indicate that each SAV can replace around eleven conventional vehicles, but adds up to 10% more travel distance than comparable non-SAV trips, resulting in overall beneficial emissions impacts, once fleet-efficiency changes and embodied versus in-use emissions are assessed.
This report estimates that by 2030, a substantial share of the 175 million Americans who live in the nation's largest cities will turn to SAEVs, cutting transportation costs by nearly 50%, reclaiming time instead of losing hours a day to traffic and putting up with all the expense and hassle of urban automobile ownership. SAEV fleets will account for nearly 25% of all auto passenger miles traveled in the US by 2030. Such a change will have an enormous impact on health, safety, and quality of life in cities: Traffic accidents and fatalities will be reduced by nearly two-thirds. Pollution will be drastically curtailed. Cities can repurpose millions of square feet once used for parking to new green spaces or commercial uses while securing more affordable mobility and accessibility for elderly, disabled, and low-income people.
This report, BCG's latest on AVs, examines the case for AVs as a cornerstone of the urban mobility revolution, as seen through the experience of Boston. It describes transportation challenges, strategic considerations, scenario modeling and simulations, and field testing.
This report seeks to represent a comprehensive assessment of energy savings potential for heavy trucks.
This is a review of what research is saying about the negative impacts of autonomous vehicles are on public health issues specifically.
Connected and fully automated or autonomous vehicles (CAVs) are becoming increasingly viable 23 as a technology and may soon dominate the automotive industry. Once CAVs are sufficiently 24 reliable and affordable, they will gain greater market penetration, generating significant economic 25 ripple effects throughout many industries. This paper synthesizes and expands upon analysis from 26 multiple reports on the economic effects of CAVs across 13 different industries and the overall 27 economy.
This paper models the market potential of a fleet of shared, autonomous, electric vehicles (SAEVs) 20 by employing a multinomial logic mode choice model in an agent-based framework and different 21 fare settings.
"AVs are already being road tested in several states and will be available for sale within five to ten years. They promise to make automobile travel safer and more efficient, and to dramatically change transportation planning and engineering. This paper assesses the most likely effect of AVs on traffic generation and highway capacity and congestion over time as AVs come to represent a greater percentage of the vehicles on the road."
The full story of autonomous vehicles is yet to be written. We created four scenario planning stories that explain how cities could shape the driverless future: tap taxi to tackle isolation, weaving a microtransit mesh, a human touch on robot delivery, reprogramming bus, bikes and barriers.
"The purpose of this report is to provide an overview of the state of automated vehicle (AV) technology in transit. The Florida Department of Transportation (FDOT) wishes to know what AV technology is currently available that could be used in transit with an eye towards possible demonstration projects."
"This research shows that public transportation (in its current form) will only remain economically competitive where demand can be bundled to larger units. In particular, this applies to dense urban areas, where public transportation can be offered at lower prices than autonomous taxis (even if pooled) and private cars. Wherever substantial bundling is not possible, shared and pooled vehicles serve travel demand more efficiently."
"This report consists of nine chapters. Chapter 2 describes the effects of technology on transportation in general, the innovative services relevant to this report, what is known about the use of these services, and their potential impacts. Chapter 3 explains the existing regulatory structure of the taxi, sedan, and limousine industries and the challenges to that existing structure presented by the rise of TNCs. Chapter 4 presents an economic framework for address- ing those challenges. Chapters 5 through 8 then review specific issues facing shared mobility services: Chapter 5 examines labor and employment issues; Chapter 6 addresses personal security for drivers and passengers and safety for the public; Chapter 7 reviews insurance issues; and Chapter 8 looks at issues of access and equity. Chapter 9 presents the overall conclusions resulting from this study and the committee’s recommendations for policy makers and regulators who must consider whether and how to regulate these new services to serve public policy goals, and outlines research needs."
This article introduces the first legislation introduced by the Federal Government and how they see autonomous vehicles can help better the country.
This Strategic Plan is designed to help the East-West Gateway Council of Governments (EWG) to better position itself to prepare for emerging transportation technologies in its planning and investment decision making processes.
"Automated driving technologies are currently penetrating the market, and the coming fully autonomous cars will have far-reaching, yet largely unknown, implications. A critical unknown is the impact on traveler behavior, which in turn impacts sustainability, the economy, and well-being. Most behavioral studies, to date, either focus on safety and human factors (driving simulators; test beds), assume travel behavior implications (microsimulators; network analysis), or ask about hypothetical scenarios that are unfamiliar to the subjects (stated preference studies). Here we present a different approach, which is to use a naturalistic experiment to project people into a world of self-driving cars. We mimic potential life with a privately-owned self-driving vehicle by providing 60 h of free chauffeur service for each participating household for use within a 7-day period. We seek to understand the changes in travel behavior as the subjects adjust their travel and activities during the chauffeur week when, as in a self-driving vehicle, they are explicitly relieved of the driving task. In this first pilot application, our sample consisted of 13 subjects from the San Francisco Bay area, drawn from three cohorts: millennials, families, and retirees. We tracked each subject’s travel for 3 weeks (the chauffeur week, 1 week before and 1 week after) and conducted surveys and interviews. During the chauffeur week, we observed sizable increases in vehicle-miles traveled and number of trips, with a more pronounced increase in trips made in the evening and for longer distances and a substantial proportion of “zero-occupancy” vehicle-miles traveled."
"This report examines the changes that might result from the large-scale uptake of a shared and self-driving fleet of vehicles in a mid-sized European city. The study explores two different self-driving vehicle concepts, for which we have coined the terms 'TaxiBot' and 'AutoVot'. TaxiBots are self-driving cars that can be shared simultaneously by several passengers. AutoVots pick-up and drop-off single passengers sequentially. We had two premises for this study: First, the urban mobility system upgrade with a fleet of TaxiBots and AutoVots should deliver the same trips as today in terms of origin, destination and timing. Second, it should also replace all car and bus trips. The report looks at impacts on car fleet size, volume of travel and parking requirements over two different time scales: a 24-hour average and for peak hours only."
This chapter is intended for the reader who wants to understand what vehicle automation is, its main research questions, and what are its main implications. We also provide guidance on the methods that have been used or could be used to assess its impacts, hence allowing future research on this topic.
Through a review of long-range transportation plans and interviews with planners, this article examines how large metropolitan planning organizations are preparing for autonomous vehicles. In just a few years, the prospect of commercially available self-driving cars and trucks has gone from a futurist fantasy to a likely near-term reality. However, uncertainties about the new technology and its relationship to daily investment decisions have kept mention of self-driving cars out of nearly all long-range transportation plans.