Domzale, 1230,
Slovenia
NCUP Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by NCUP and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 200 NCUP employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that NCUP has purchased the following applications: PTV Optima for Traffic Management in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems NCUP is running and its propensity to invest more and deepen its relationship with PTV Group 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 NCUP revenues, which have grown to $100.0 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 NCUP 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.
SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| PTV Group | Legacy | PTV Optima | Traffic Management | SCM | n/a | 2015 | 2015 |
In 2015, NCUP implemented PTV Optima for Traffic Management to provide real-time traffic information across Slovenia. The Ministry for Infrastructure established the National Traffic Management Center NCUP as the country’s highest strategic body in this field, and NCUP selected PTV Optima to fulfill those national operational objectives.
PTV Optima was deployed using an offline PTV Visum model combined with continuous real-time data inputs, creating a hybrid architecture that couples strategic network modeling with live state estimation. Configuration work focused on linking the Visum model to PTV Optima capabilities for incident detection, short term forecasting, and operational decision support.
Integrations centered on real-time data pipelines feeding PTV Optima and the Visum model, enabling fusion of sensor and traffic feed inputs for rapid reaction to network events. Operational coverage targeted national traffic operations within the National Traffic Management Center NCUP, supporting traffic monitoring, incident management, and forecasting functions.
Governance and operational workflows were aligned under the Ministry for Infrastructure with NCUP operating as the central coordination point for incident response and forecasting. The implementation of PTV Optima provides realistic forecasts of the traffic situation and enables quicker reaction to incidents on the road network as stated in the project notes.
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