Understanding User Needs

Exploring Top-Down Visual Attention for Transportation Behavior Analysis: Walkability and Pedestrian Behaviors

Employing the state-of-the-art research on attention and feedback mechanisms, especially with vision language models (VLMs), has not been fully explored previously for transportation behavior analysis, especially for the analysis of a variety of pedestrian behaviors related to sidewalks and streets. This project will expand our previous project exploring top-down visual attention for transportation behavior analysis […]

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Leveraging Vision-Language Models for Efficient Understanding of Vulnerable Roadway Users via a Multimodal Traffic Sensing Approach

The proliferation of 3D and video data from urban intersections offers a unique opportunity to analyze and protect vulnerable road users (VRUs). However, the effectiveness of modern detection models like PointPillar or CenterPoint is limited by the availability of high-quality labeled data. In Year 2, we demonstrated the feasibility of multimodal sensing using LiDAR and

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The Home as a Trip Attractor: An Exploratory Study of Residential Service Demand

Taking a two-phase approach, this study aims to investigate the nature and scale of household-based service demands, and to establish a baseline for better data collection and modeling of this under-studied component of travel demand in future research efforts. Part 1 of this project will utilize data from the recently completed Transportation Heartbeat of America

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The Mobility Dashboard (TMD)

The transportation landscape is undergoing rapid and far-reaching change, fueled by emerging technologies, shifting work arrangements, demographic transitions, and evolving lifestyles and consumer attitudes. These developments are challenging long-standing assumptions in transportation planning – particularly those related to the stability of travel behavior, the predictability of demand, and the foundational drivers of mobility choices. As

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The Mobility Dashboard (TMD)

The transportation landscape is undergoing rapid and far-reaching change, fueled by emerging technologies, shifting work arrangements, demographic transitions, and evolving lifestyles and consumer attitudes. These developments are challenging long-standing assumptions in transportation planning – particularly those related to the stability of travel behavior, the predictability of demand, and the foundational drivers of mobility choices. As

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Emerging Travel Behavior Insights from 2024 National Surveys and Count Data

The U.S. Census conducts three annual surveys that offer transportation analysts valuable insights into travel behaviors and trends: the American Community Survey (ACS), the American Time Use Survey (ATUS), and the Consumer Expenditure Survey (CE). With a multi-decade history, these surveys allow analysts to track changes over time and discern long-term trends. This data can

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Investigating Travel Survey Representativeness: Who’s Missing and What Can We Do?

The core source of data for transportation planning and forecasting comes from household travel surveys. Travel surveys are used to obtain insight into the behavioral decisions of travelers; for example: (1) trip purposes such as work or shopping; (2) means/mode of transport such as car, walk, bus, etc.; (3) travel time; and (4) time of

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Measuring the Impact of Transformative Transportation Technologies on Local Government Revenues Linked to Transportation Infrastructure

While significant planning and financing for major transportation infrastructure occurs at the federal and state levels, counties and municipalities also play a significant role and are most often the level of government citizens turn to when issues with transportation infrastructure arise. These governments often have responsibility for a range of roads, bridges, and other related

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Analysis and Implications of the Vehicle Inventory and Use Survey (VIUS)

To better understand the future of travel behavior and demand this research effort will explore the National Vehicle Inventory and Use Survey (VIUS).  There is a keen interest in this survey as a result of the fact that a growing share of all travel is non-household-based travel for freight commercial and service functions. These functions

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