Choose fairness metrics to measure AI model bias and collect sufficient data to assess error statistics across demographic groups. The optimal model isn't always the one with the least negative…
Share data with sufficient metadata and documentation. AI algorithms typically process vast volumes of data to generate inferences or predictions. Consequently, it's essential to provide…
METHODOLOGY
Based on the online survey, 11 out of 24 agencies confirmed using CDO in their daily operations specifically for ADA paratransit, as some agencies either didn't use CDO or used it for…
Enhance understanding of ADAS usage and activation in different scenarios by incorporating additional data sources, such as vehicle-based telematics. This study utilized crash and vehicle equipment…
Below are the lessons learned from this study:Clearly demonstrate the benefits of ICM by focusing on its impacts on travel time reliability and travel time predictability. Since costs pile up quickly…
Promote a Culture of Data Analysis Within Agencies: Transit agency staff are often the most important component of Big Data analysis, and without adequately trained staff, transit agencies face…
Consider the importance of context-sensitive regulations when examining differences across regulations for e-scooter programs. For example, cities may adopt regulations based on steps taken from…
The lessons learned from this study are presented below.
Maintain a high level of “data hygiene.” To perform advanced data analysis and deliver high-quality results, conduct regular data cleaning to…
The following lessons learned summarize the findings from testing the seven types of systems for the unattended driver reminder systems.
Keep a strong and reliable Bluetooth connection. The…
Include camera washer system and heated lenses on winter maintenance vehicles to avoid image quality degradation from dirt or snow accumulation. According to this study, the most commonly reported…
Initial findings and insights from grantees revealed the following institutional, project management, and technical challenges and lessons learned:
Engage technology vendors or manufacturers to…
The main takeaways from the workshop’s collaborators and stakeholders are summarized as follows:
Consider sharing or broadcasting specific train data to AVs approaching an HRGC to prevent potential…
Select all relevant labels from the perspective of others when annotating for efficiently estimating data distributions. In ambiguous or subjective domains, multiple valid interpretations may exist,…
Tighten standardizations in the Manual on Uniform Traffic Control devices (MUTCD). This should be done within and between states to make the manufacturers job easier as it would increase the…
Offer customers more than one shared product option with time delay and price points to increase the proportion of shared trips. A high degree of heterogeneity in user preferences was found in the…
The report presents several best practices for SC&C technology implementation, detailed below.
Set clear goals. Becoming a smart city or community is not a goal but a means to an end. SC&C…
This project identified the following research needs and suggestions from stakeholder interviews concerning uncertainties regarding AV deployment and the potential mix with human-driven vehicles.…
This study led to the following lessons learned regarding each of the three technologies reviewed:
In general, Bluetooth excels in projects of a temporary nature such as construction corridor…
Use newly designed signs or indicators to effectively influence drivers’ perceptions of trucks’ operations and the relationship between them. Over 60 percent of participants presented with the novel…
Before developing a low-cost QWS, an investment in funding for crash testing is strongly recommended to verify that signage support structures with QWS traffic sensors and communications hardware…
This MOD sponsored project focused on understanding MOD Business Models. Business Models in the MOD marketplace are constantly evolving and “understanding business models underlying mobility…
Some of the most important findings from this project include:
Consumers are increasingly assigning economic values to modes and engaging in multimodal decision-making processes based on a variety of…
The identified high-priority challenges related to cybersecurity and vehicular communication, as well as the authors’ proposed methods of meeting them, are below:
Challenge
Proposed Method of…
This source report outlined experiences of cities and city transportation officials throughout the United States and focused primarily on dockless micromobility services operated by private providers…
Traffic monitoring programs are typically managed by the planning department of a state DOT or other regional transportation agency. Such departments typically have responsibility over data…
Speed accuracy: Simulation results show that a positive correlation exists between speed estimation accuracy and the g/C ratio. When g/C<1 (with traffic signals), results show very large relative…
Develop and manage standards by a trusted source with permanence, customer focus, and with sufficient user involvement.
Additional standard development organizations (SDOs) that are accredited are…
The synthesis study was conducted in five major steps:
A literature review was performed to identify the characteristics of open data; legal and licensing issues and practices; uses of open data; and…
Where barriers can be anticipated, it is possible to create mitigation strategies. These strategies need to be targeted to different organizations, including private firms, transit agencies, academia…
As the USDOT encourages state and local entities to deploy Connected Vehicle (CV) technology under their jurisdiction, the V2I Hub Deployment Guide was created to provide an outline with step-by-step…
This report details three case studies and documents lessons learned and best practices for bringing both public and private stakeholders to the table to develop a policy and regulatory approach.…
Data Collection at Crash Scene
· Use field-based location tools and GPS capabilities in the data collection process to provide more accurate crash location
data. Crash location is a critical…
When developing managed lanes and congesting pricing projects:
Balance revenue generation and High Occupancy Vehicle (HOV) policies. To generate revenue, you may have to require HOVs to pay a toll…
During the planning process for managed lanes and congestion pricing projects:
Engage local operations, traffic control center and maintenance staff in the dialogue because they will be the people…
When involving the private sector as a partner in a managed lanes and congestion pricing project:
Understand that while public-private partnerships may be important to the financial viability of…
When evaluating congestion pricing and managed lane options:
Recognize that reducing congestion is at least as important a reason for implemented congestion pricing or managed lanes as revenue…
To gain stakeholder and public acceptance and support,
Provide early outreach and education for elected officials, decision makers, key stakeholders and the public. Regional agencies should not be…
When developing managed lanes and congestion pricing projects:
Incorporate managed lanes and congestion pricing projects into the metropolitan transportation planning process. The metropolitan…
Some of the most transforming implications for TMC operations identified in the report are based on the proliferation of wireless communication, the rise of social media, and the involvement of third…
One of the major problems at marine container terminals is that the terminal gates, where trucks enter and exit the terminal to deliver or pick-up a container, are only open during certain hours on…
Developers that won city data competitions and were interviewed by Government Technology had the following advice to offer city agencies:
Provide data that is in a standardized format, such as the…
Key lessons learned from road pricing experiences in the United States and abroad include the following.
Gain consensus among decision makers and analysts. Prior to conducting extensive public…
Successful Archived Data Management Systems (ADMS) require marketing, training, and outreach. Transportation professionals may not be aware that operational data are being archived, and may not be…
The primary goals of traffic incident management are to minimize the impact of incidents and reduce the probability of secondary incidents. One objective of a formal incident management program is…
METHODOLOGY
The survey respondents represented a variety of public transit modes including bus, trolleybus, light rail, tram, metro, commuter rail, main line rail and ferry. Almost all the…
METHODOLOGY
In this study, the systematic review was conducted based on the following selection criteria: i) either ACC or CACC technologies or both, ii) both simulations and field tests, iii)…
METHODOLOGY
Based on the online survey, 11 out of 24 agencies confirmed using CDO in their daily operations specifically for ADA paratransit, as some agencies either didn't use CDO or used it for…
METHODOLOGY
In this study, vehicle data were provided by a total of eight participating industry partners, specifically leading automobile manufacturing companies, which accounted for more than 65…
METHODOLOGY
CARLA is an open-source virtual simulator to test automated driving used in this study, featuring a Traffic Manager (TM), command array, Agent Lifecycle and State Management (ALSM), Path…
METHODOLOGY
A partial proportionality odds model was developed to examine the relationship between crash, road, and vehicle characteristics as the independent variables and the occurrence of a fatal…
Methodology
To assess the effectiveness of a predictive maintenance system, a research team from Rutgers University utilized data provided by a major rail transit agency in the United States. A…
METHODOLOGY
Several existing case studies were investigated to assess existing models and simulation development methods, document the data needs of agencies dealing with ATVs, general guidance…
METHODOLOGY
The study used three major data source types—TNC surveys, app-based ridesharing data, and studies in the literature about behavioral responses to changes to the price of driving and…
METHODOLOGY
This study conducted a benefit-cost analysis by implementing injury prediction algorithms used by AACN systems. The injury prediction algorithm predicts the probability of severe injury…
Methodology
This study considered three performance measures from the 22 risk mitigation strategies: 1) number of traffic deaths, 2) level of congestion, and 3) environmental emissions. The current…
Methodology
Participants were virtually seated in a 4-door sedan and drove a counterbalanced set of eight 17.5-mile test scenarios, four with full manual driving control and four with takeover…
METHODOLOGY
The researchers enhanced three trucks equipped with adaptive cruise control (ACC) technology (using sensors to maintain a safe distance from vehicles ahead) by adding communications and…
Methodology
The study utilized vehicles from a total of 27 different vehicle makes with model years ranging between 2013 to 2015 that each offered front automatic braking with forward collision…
Methodology
The General Accountability Offices (GAO)’s sampling methodology as well as the questionnaire were replicated to provide data comparable to the 2015 Small Urban and Rural Transit Provider…
FINDINGS
The report noted that operators typically would deploy 200 pounds of salt per lane-mile along the examined portion of road, due to its significant accident rate and the difficulty of…
METHODOLOGY
In order to forecast impacts associated with a 100 percent renewable energy transportation system, researchers identified the expected composition of each transportation sector including…
The analysts' proposed model is the most beneficial for both passenger and goods transportation. It reduced investment costs by 4.4 percent for passenger transportation and 8.8 percent for goods…
Methodology:
NREL and Volvo Trucks North America analyzed a two-week period of Volvo Truck telematics data from over 57,000 unique vehicles, traveling over 210 million miles during the summer of 2016…
Detailed data were collected on diesel and BE fuel options for both transit and school buses. A Life Cycle Assessment (LCA) methodology that utilized a wheel-to-wheel (WTW) approach was used to…
FINDINGSThe benefits presented in Section 6 of the synthesis document were compared to the generally, more high-end costs of the satellite and terrestrial-based product/service offerings to estimate…
METHODOLOGYCrash RatesTo begin the RSS data analysis, it was first necessary to establish the crash rates for trucks equipped with ESC, RSC and no RSS technology. A separate crash rate was calculated…
Content references source material no longer available at its original location.
METHODOLOGYThe study consisted of two stages; stage one was the control period, stage two was training and instant driver feedback. The study process was as follows:Established baseline metrics: data…
METHODOLOGYFive locations were chosen for the study: two urban interstate highways with significant commuter traffic, one urban parkway with commuter traffic and recreational trips, and two rural…
Methodology:The study uses the Bayes method which is a before-and-after statistical approach that determines the effectiveness of a treatment from external factors, including increases in traffic…
FINDINGSBroad Industry BenefitsA September 2008 case study entitled Beyond Visibility: Driving Supply Chain Responsiveness included an expanded survey response from a total of 349 companies. One-…
METHODOLOGYA before-after analysis of the relationship between red light camera enforcement programs on per capita fatal crash rates at signalized intersections examined data from 14 large cities (…
Work Zone Driver Warning System (WZDWS) is designed for preventing collisions associated with work zones. It includes an in-vehicle driver warning subsystem and a real-time Dynamic Message Sign (DMS…
In order to assess business cases and models for connected vehicle (CV) applications including vehicle-to-infrastructure (V2I) communications, researchers assessed public agency decision-making…
The freight and logistics industry has accelerated its adoption of immersive technologies such as augmented reality (AR) and virtual reality (VR) amid the COVID-19 pandemic. Although still in its…
In cooperation with industry, and on behalf of the U.S. DOT ITS Joint Program Office, U.S. DOT Federal Motor Carrier Safety Administration (FMCSA) sponsored the Hazardous Materials Safety and…