Washington, 20005, DC,
United States
US D.o.t. Federal Railroad Ad Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by US D.o.t. Federal Railroad Ad and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10 US D.o.t. Federal Railroad Ad employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that US D.o.t. Federal Railroad Ad has purchased the following applications: Fatigue FAST Avoidance Scheduling for Fatigue Management in 2005, Google Tag Manager for Tag Management in 2020, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems US D.o.t. Federal Railroad Ad is running and its propensity to invest more and deepen its relationship with Fatigue Science , Google , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing US D.o.t. Federal Railroad Ad revenues, which have grown to $1.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for US D.o.t. Federal Railroad Ad intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Fatigue Science | Legacy | Fatigue FAST Avoidance Scheduling | Fatigue Management | HCM | n/a | 2005 | 2007 |
In 2005, US D.o.t. Federal Railroad Ad sponsored validation and calibration studies using the Fatigue FAST Avoidance Scheduling application, employing the SAFTE/FAST biomathematical fatigue model to assess fatigue related accident risk across US freight railroads. The deployment used Fatigue FAST Avoidance Scheduling as a Fatigue Management application to generate predicted effectiveness outputs for schedule and crew fatigue risk analysis, supporting rail operations and safety assessment workflows.
The implementation centered on operationalizing the SAFTE/FAST biomathematical model, converting model outputs into predictive effectiveness measures and fatigue risk profiles that could be applied to crew schedules and human factor risk assessments. Functional capabilities highlighted by the studies include predictive modeling of effectiveness, schedule level fatigue risk profiling, and analytical outputs that feed safety decision processes, consistent with standard Fatigue Management system functionality.
The project scope covered US freight railroad operations and safety stakeholders, with the Federal Railroad Administration sponsoring the validation work that informed institutional fatigue risk management practices. The studies demonstrated a reliable relationship between predicted effectiveness and human factor accident risk, and Fatigue Science together with Institutes for Behavior Resources commercialize FAST/SAFTE as the marketed tool used in these analyses, enabling adoption of the model outputs into rail fatigue risk management governance and operational safety processes.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2020 | 2020 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2020 | 2020 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||