TRB 2023

The Safe System Approach (SSA) is a priority in the Infrastructure Investment and Jobs Act and the National Roadway Safety Strategy. Agencies are grappling with defining policies and procedures to integrate SSA into practice. This session will examine real-world case studies, discuss challenges and opportunities, and identify the research needs for incorporating and measuring SSA for all users.

The past few years have been a time of disruption and innovation. Agencies are now examining new or adapted practices on topics from workforce management to customer service to technology to determine which should be sustained for the long term. Join an interactive discussion to share lessons learned and effective practices and to identify approaches for turning disruption into opportunity.

Consumers and producers are experiencing serious inflation, employment shortages, and supply chain pressures, resulting in transportation market and operational failures. This workshop will help transportation practitioners and policy makers better understand their nature, scale, causes, and implications from the perspective of economics and finance.

The Transit Data Challenge is an opportunity for industry analysts to demonstrate an innovative tool, method, or product that uses data to improve decision making and get results for public transit. We'll present on a bus data analysis tool we developed for WMATA. The finalists will give a brief presentation on their submission. At the end of the workshop, a winner will be announced!

The intent of this workshop is to demonstrate the need for the next-gen integrated transportation system, how operational and in-development ML networks can test policies and innovations of other systems and serve as more than just mobility solutions, and how the ML system can be positioned to be the test bed and flagbearer of such an integrated system by consolidating components of various other systems.

For many years, the question of how to measure the pollution impacts of infrastructure choices in the built environment has perplexed policymakers. Colorado’s recently implemented Greenhouse Gas Pollution Reduction Planning standards offer a case study for how to implement pollution reduction targets for transportation planning.

For the MBTA’s Bus Network Redesign, we developed a data-driven approach to designing the high-frequency core of the network. Centering equity, the process algorithmically generated 100,000 possible high frequency bus networks and scored them based on how efficiently they served demand and demand by low-income and minority populations. The results were used in creating MBTA’s newly approved network.

What’s new in performance management? Attend this session to learn more about pricing congestion and the state of practice of performance measurement for ITS.

How do you prepare for the inevitable shift toward electrification of the medium- and heavy-duty trucking sectors? Attend this session to learn how 1) electric trucks could be integrated into highway truck platoons 2) electric trucks could help reduce the environmental impacts associated with trips between container terminals and 3) truck routing can impact charging opportunities.

This session covers a theoretically sound integrated analytical and simulation-based Dynamic Traffic Assignment (DTA) model to solve dynamic user equilibrium via a gap function, as a nonlinear minimization problem. This integration is especially valuable for large-scale DTA applications (as shown in northern Virginia) since the model is computationally efficient and DTA solution is analytically tractable.

This committee is concerned with research that will lead to better planning and implementation of intercity rail passenger systems, with particular emphasis on the full range of high-speed systems including new technology.

Truck parking is an issue of concern for local and state agencies as well as shippers, receivers, and freight carriers. Despite growing interest, there is limited understanding of the number of parking stops generated by freight facilities. In partnership with CalSTA and Caltrans, we’re presenting a method for estimating the parking stops generated by trips to freight facilities using big data.

Hear about the latest research in international trade and freight transportation, with presentations on synchromodal freight transportation that has been thoroughly explored in Europe but it is still in its infancy in North America, recovery strategies that shipping lines can implement to mitigate the effects caused by disruptions at ports or at sea, and the port-hinterland corridor management initiatives.

The variety of data sources available to capture urban travel characteristics is increasing, and innovative methods are being developed to utilize this data. This session presents papers that use urban travel data to examine a broad range of topics including connected vehicle data management, equity, micromobility, transit, vehicle trajectory, and mapping data.

During a time of massive uncertainty, Denver’s Department of Transportation and Infrastructure (DOTI) is developing a long-range strategic plan - Denver Moves Everyone (DME). The plan uses FHWA’s Travel Model Improvement Program Exploratory Modeling Analysis Tool (TMIP-EMAT) to plan for a range of plausible alternative futures, potential change drivers, and disruptors.

This study examines patterns of grade crossing safety among low-income population areas and patterns between urban and rural areas. The intent will be to encourage further discussion and research, including equitable education, enforcement, and engineering strategies to address grade crossing safety in urban and rural areas and with context-sensitive and responsive solutions.

For most agencies, regional travel demand models are the primary tool used for forecasting truck travel. These models are calibrated/validated to exogenous data sources, such as classification counts. However, various data sources often use different vehicle classifications/definitions. This study develops cross-classifications that can be utilized to convert between different truck classification schemes.

Vulnerable road user traffic deaths in the U.S. have increased in number and proportion but evaluating and predicting vulnerable road user crash risk is a complex process. This study aims to make safety analysis easier and more accessible by developing a modeling framework, converting model outputs into cost equivalents, and building this functionality into an online tool and dashboard.​

Leading pedestrian intervals (LPI) are a means of reinforcing pedestrian priority over turning vehicles at signalized intersections, but they incur intersection capacity reduction and increased delay for all users. A model has been developed that suggests intersection layout should be accounted for when deciding on the length of an LPI to reduce its negative impacts.

Many agencies are investigating data fusion as a possible technique to leverage existing data with large passive data to better support planning and decision making. Learn how our location-based services data suite of products, LOCUS, can help you leverage this technique.

The Infrastructure Investment and Jobs Act (IIJA), commonly referred to as the Bipartisan Infrastructure Law (BIL), and the Inflation Reduction Act (IRA) present a once in a generation opportunity to invest in our transportation infrastructure. This session will address implementation of the new laws and how various policy initiatives will impact their implementation.

Learn about a data-driven approach to identify current and future obstacles to the efficient and safe movement of freight or adversely impacting the quality of life in a rural, scenic corridor. Recommendations include innovative and cost-effective approaches to address the lack of truck parking, the need to mitigate the perceived negative impacts of trucks traveling on main streets, and more.

This research explores the hypothesis that intersections can be significant barriers to low-stress bicycle network connectivity. Refined criteria for crossing Level of Traffic Stress (xLTS) for unsignalized intersections are developed, which account for number of lanes being crossed, traffic volume, traffic speed, and the presence of crossing islands and rectangular rapid flash beacons (RRFBs).

Stay current on the latest in trucking research. During this poster session, you’ll hear about various topics like CAVs, connected truck platooning, trucking carrier value of time in route choice behavior, truck parking, truck–drone freight delivery, and much more.

What are the policy insights that we can learn from travel forecasting models? These research presentations will cover a variety of topics, including data fusion, COVID-19, ride sourcing, CAVs, ride hailing, rank-based modal preferences and more.

This interactive workshop aims to discuss how individuals' activity patterns and hybrid work schedules will change in the post-pandemic era. Learn how we used location-based data to find trends in post-pandemic travel patterns in LA and Colorado.