If you are a transport authority dealing with growing congestion and rising CO2 targets — TANGENT developed a decision-support dashboard with APIs that gives real-time traffic management recommendations across all modes. Tested in Rennes, Lisbon, and Greater Manchester, it targets a 10% reduction in travel time and 8-10% cut in CO2 emissions. The tools help you shift demand between transport modes dynamically instead of building more roads.
Smart Traffic Management Tools That Cut Travel Time and Emissions Across All Transport Modes
Imagine a city where buses, trams, cars, bikes, and delivery trucks all talk to each other through one smart system — instead of each running on its own schedule causing jams and delays. TANGENT built software tools that predict where traffic will pile up and automatically suggest how to spread people and goods across different transport options. They tested it in real cities like Lisbon, Rennes, and Manchester, using actual traffic data from roads, public transport, and even pedestrian flows. Think of it like a GPS for an entire city's transport network, not just one driver.
What needed solving
Cities lose billions annually to traffic congestion, with emissions rising and accidents persisting because each transport mode — buses, cars, bikes, freight — is managed separately with no coordination. Transport authorities lack tools that can predict demand shifts in real time and optimize across all modes simultaneously, especially as connected and autonomous vehicles enter the mix.
What was built
TANGENT delivered a coordinated traffic management system including: prediction and simulation models for transport demand and supply, optimization tools for balancing passenger and freight flows across modes, travel choice behaviour models (released as working code in two iterations), a decision-support dashboard with APIs for real-time and strategic recommendations, and communication channels for multi-actor transport coordination.
Who needs this
Who can put this to work
If you are a logistics company struggling with urban delivery delays and route inefficiency — TANGENT built prediction and simulation models that cover both passenger and freight transport in multimodal networks. The optimization techniques balance demand flows between transport modes, targeting 10% reduction in economic costs from more efficient management. This means fewer trucks stuck in congestion and better coordination with public transport schedules.
If you are an ITS vendor looking to add multimodal optimization to your product — TANGENT delivered a set of travel choice models with working code, prediction engines, and transport network optimization algorithms. The system handles both automated and non-automated vehicles, with APIs ready for integration. With 39 deliverables including two releases of travel choice modelling code, there is substantial IP to license or build upon.
Quick answers
What would it cost to implement these tools in our city or network?
The project data does not include specific licensing or implementation costs. As a publicly funded RIA project, the core research outputs may be available through open access or licensing agreements with the consortium. Contact the coordinator at Universidad de Deusto to discuss terms.
Can this scale beyond the three pilot cities to other urban areas?
TANGENT was tested in three real cities (Rennes, Lisbon, Greater Manchester) plus a virtual case study in Athens, each with different traffic conditions and transport modes. The tools were designed as a general-purpose set with APIs and a dashboard, suggesting they can be adapted to other cities. Scaling would require local traffic data integration.
Who owns the intellectual property and how can we license it?
The consortium of 16 partners across 9 countries jointly developed the tools. IP ownership typically follows Horizon 2020 rules where each partner owns what they created. The travel choice modelling code was delivered in two releases, suggesting structured IP that could be licensed through the coordinating university.
Does this work with connected and autonomous vehicles?
Yes. TANGENT explicitly designed its tools to handle both automated and non-automated vehicles in the same network. The prediction and simulation models account for mixed traffic scenarios, which is critical as cities see growing numbers of autonomous shuttles and delivery robots alongside conventional vehicles.
What measurable improvements can we expect?
Based on the project objectives, TANGENT targets 10% reduction in travel time, 8-10% reduction in CO2 emissions, 5% fewer accidents, 5-10% increase in public transport and active mode usage, and 10% reduction in economic costs. These targets were tested against real-world data in the pilot cities.
Does this meet EU transport and emissions regulations?
TANGENT was funded under the Horizon 2020 MG-2-11-2020 topic focused on traffic management. The CO2 reduction targets of 8-10% directly support European Green Deal compliance. The multimodal approach aligns with EU Sustainable Urban Mobility Plan requirements that many cities must now follow.
How does it integrate with our existing traffic management systems?
The project delivered a dashboard with associated APIs specifically designed for integration. The system provides both real-time recommendations and strategic planning support, and enables multi-actor cooperation through built-in communication channels. This two-fold approach means it can layer on top of existing infrastructure.
Who built it
TANGENT brings together 16 partners from 9 countries with a strong industry orientation — 8 industrial partners (50% of the consortium) and 5 SMEs. This is a well-balanced team for a transport technology project: two universities provide the research backbone, two research organizations add domain expertise, and the industry partners ensure practical applicability. The coordinator is Universidad de Deusto in Spain. The geographic spread across Belgium, Germany, Greece, Spain, France, Italy, Netherlands, Portugal, and the UK covers major European transport markets. For a business looking to adopt these tools, the high industry ratio signals that the solutions were built with commercial deployment in mind, not just academic publication.
- UNIVERSIDAD DE LA IGLESIA DE DEUSTO ENTIDAD RELIGIOSACoordinator · ES
- RUPPRECHT CONSULT-FORSCHUNG & BERATUNG GMBHparticipant · DE
- AIMSUN SLparticipant · ES
- ETHNICON METSOVION POLYTECHNIONparticipant · EL
- INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUMparticipant · BE
- VIA VERDE PORTUGAL-GESTAO DE SISTEMAS ELECTRONICOS DE COBRANCA SAthirdparty · PT
- CEFRIEL SOCIETA CONSORTILE A RESPONSABILITA LIMITATA SOCIETA BENEFITparticipant · IT
- POLE DE COMPETITIVITE IDFORCARparticipant · FR
- POLISparticipant · BE
- ATOBE - MOBILITY TECHNOLOGY SAparticipant · PT
- TRANSPORT FOR GREATER MANCHESTERparticipant · UK
- KEOLISthirdparty · FR
- PANTEIA BVparticipant · NL
- COMPANHIA CARRIS DE FERRO DE LISBOA, E.M., S.A.participant · PT
Universidad de la Iglesia de Deusto (Spain) — reach out through their research transfer office or the TANGENT project website contact page.
Talk to the team behind this work.
Want an introduction to the TANGENT team or a tailored brief on how their tools fit your city or network? Contact SciTransfer — we connect businesses with EU research teams.