Researchers developed two scenarios to envision the future of mobility in China in 2030. Economic growth, the presence of constraints on vehicle ownership and driving, and environmental conditions differentiate the scenarios. By making potential long-term mobility futures more vivid, the team sought to help decisionmakers at different levels of government and in the private sector better anticipate and prepare for change.

TRB's National Cooperative Highway Research Program (NCHRP) Research Report 845: Advancing Automated and Connected Vehicles: Policy and Planning Strategies for State and Local Transportation Agencies assesses policy and planning strategies at the state, regional, and local levels that could influence private-sector automated vehicle (AV) and connected vehicle (CV) choices to positively affect societal goals. The report aims to assist agencies with exploring actions that might increase the likelihood that AV and CV technologies will have beneficial impacts on traffic crashes, congestion, pollution, land development, and mobility (particularly for older adults, youths under the age of 16, and individuals with disabilities).

This overview summarizes the guidebook published as NCHRP Report 610. The guidebook and overview were created, and the research behind the guidebook was conducted, under NCHRP Project 20-78 by NuStats LLC in association with Texas Transportation Institute, Northwestern University, and Public Information Associates.

"The research described in this report was sponsored by the Institute for Mobility Research (ifmo) and conducted in the Transportation, Space, and Technology Program within RAND Justice, Infrastructure, and Environment."--Title page verso.

Identifies various challenges to the world community of transport survey specialists as well as the larger constituency of practitioners, planners, and decision-makers that it serves and provides potential solutions and recommendations for addressing them.

Because license plate reader (LPR) technology is relatively new in the United States, opportunities and obstacles in its use in law enforcement are still under exploration. To examine issues about this technology, RAND conducted interviews with law enforcement personnel, police officers, and others responsible for procuring, maintaining, and operating the systems.

The study gives a glimpse into the not-too-distant future by asking people about their reactions to the availability of self-driving vehicles, which could be found on Texas roads within a few years. Its objective was to gather empirical evidence on consumer acceptance and adoption: the factors associated with intention to use, how that intention might influence mode choice and vehicle ownership decisions, and what all of this could mean for travel demand and congestion in the Austin region. This study begins to build an evidence base for transportation policy making and decision making. Information has been derived from an online survey and qualitative interviews with Austin metropolitan area residents from May to June 2015. Findings represent only this sample.

Vol 1: Forecasting Travel Behavior in the Context of Connected and Automated Vehicles...Definitions of Automated Vehicles and Connected Vehicles...Framework for Planning and Modeling CAVs...Planning Context...Modeling Systems...Communicating under Uncertainty...Conclusions Vol 2: Introduction...Definitions of CAVs and Current Status...Uncertainties Associated with CAVs...Framework for Planning and Modeling CAVs...Planning in the Context of Uncertainty...Adapting Trip=-Based Models to Address CAVs...Adapting Disaggregate/Dynamic Models to Address CAVs...Adapting Strategic Models to Address CAVs...Communicationg in an Uncertain Environment

"Major trends affecting the future of the United States and the world will dramatically reshape transportation priorities and needs. The American Association of State Highway and Transportation Officials established the NCHRP Project 20-83 research series to examine global and domestic long-range strategic issues and their implications for departments of transportation (DOTs) to help prepare the DOTs for the challenges and benefits created by these trends. This publication is the sixth report in this series. This report presents the results of research on how socio-demographic changes over the next 30 to 50 years will impact travel demand at the regional level. The research approach involved identifying a number of plausible future scenarios and development of a systems dynamic model that simulates the demographic evolution of a regional population starting from a baseline of the 2000 census and spanning a period of 50 years. The four future scenarios were developed using a Strategic Assumptions Surfacing and Testing (SAST) technique and include the following: (1) Momentum: gradual change without radical shifts; (2) Technology Triumphs: technology solves many present-day problems; (3) Global Chaos: a collapse in globalism and sustainability, and (4) Gentle Footprint: a widespread shift to low-impact living. The model does not predict which scenario is most likely; instead it predicts how travel demand will change under each of the five sectors: socio-demographics, travel behavior, land use, employment, and transportation supply. The accompanying CD (CRP-CD-152) contains the Impacts 2050 software tool, the user's guide, a PowerPoint presentation about the research, and the research brief. The Impacts 2050 tool enables modeling of changes in these sectors due to socio-demographic changes, the interplay between sectors, and external factors such as attitudes and technology. This report will help transportation decision makers understand how the population may change over time, how socio-demographic changes will affect the ways people travel, and the kinds of transportation modes and infrastructure that will be needed."--Foreword.