Periodic Reporting for period 2 - TANGENT (ENHANCED DATA PROCESSING TECHNIQUES FOR DYNAMIC MANAGEMENT OF MULTIMODAL TRAFFIC)
Période du rapport: 2023-03-01 au 2024-11-30
The development of disruptive technologies, abundance of micro mobility solutions (scooters, e-bikes, skateboards, shared bicycles, etc.) and the tendency towards a more human-centric approach generate a revolution in mobility, transport network and traffic management. Transport infrastructure, vehicle technologies and digitalisation of mobility are progressively improving, while movement of people and transport of goods is expected to continuously increase dramatically. In this context, the European transport faces major challenges in terms of safety, greenhouse gas emissions, traffic congestions and its derived costs.
TANGENT aims to develop new complementary tools for optimising traffic operations in a coordinated and dynamic way from a multimodal perspective and considering new modes of mobility (CAV, DRT…). TANGENT will allow the precise knowledge and management of the mobility flows among the transport modes and will enable the implementation and integration of innovative mobility solutions, services and business models.
The results have been tested in 4 case studies: Rennes (FR), Lisbon (PT), Great Manchester (UK) and a virtual case study in Athens (HE), with satisfactory results and useful feedback from the transport operators.
TANGENT has reduced travel time in different scenarios, improved the traffic flows, CO2 emissions generated by transport and the usage of public transport (buses) has significantly increased.
TANGENT aims to develop new complementary tools for optimising traffic operations in a coordinated and dynamic way from a multimodal perspective and considering new modes of mobility (CAV, DRT…). TANGENT will allow the precise knowledge and management of the mobility flows among the transport modes and will enable the implementation and integration of innovative mobility solutions, services and business models.
The results have been tested in 4 case studies: Rennes (FR), Lisbon (PT), Great Manchester (UK) and a virtual case study in Athens (HE), with satisfactory results and useful feedback from the transport operators.
TANGENT has reduced travel time in different scenarios, improved the traffic flows, CO2 emissions generated by transport and the usage of public transport (buses) has significantly increased.
Now that TANGENT project has come to an end a list of the main results achieved are provided. TANGENT Tool is made available to the end users as a web-based Dashboard, which supports the transport managers in the decision making for traffic& transport operations management. It includes functionalities tailored for manager and operator roles in different entities concerned with urban transportation and multi-modality.
The TANGENT Tool offers three main functionalities for multi-modal transport management:
TANGENT will deliver a set of applications for decision-making support creating a framework for coordinated traffic and transport management:
Monitoring and visualization, is both at the core of the Dashboard and a functionality on its own. Customizable dashboards allow different roles of users to visualize live data in maps, indicators and tables. The dashboard delivers information on the traffic conditions on real-time visualizing on the entire transport network, integrating various modes of transport, road traffic, public transport. The same visualization features are reused for the visualization of forecast data and during planning and incident management stages.
Forecasting, is enabled as an add-on over the monitoring functionality that allows the user to select a prediction horizon for traffic forecasting (from 5 to 60 minutes) for data sources for which forecasts are available. Alongside forecast data, we also include anomaly detection.
Planning and Incident Management, is the third layer of functionality and allows the preparation of Response Plans for later Incident Management of live situations. Different types of plans exist to cover different types of Incidents to be managed. This functionality allows the transport agents to manage transport network in a cooperative manner for restoring the transport network in the light of events. This functionality also gives the option to simulate WHAT-IF scenarios for planning future innovations in transport in the city.
These functionalities are nurtured by the research done in Data Gathering, Harmonisation & Fusion, Travel Behaviour Modelling, Transport Prediction & Simulation and Transport Network Optimization.
The exploitation plan has been performed through the identification and characterization of the key exploitable results, a market analysis, the production of business models for the overall TANGENT tool and for each case study, the next steps after the project with different time horizons.
These actions allowed to identify 13 individual Key Exploitable Results and the exploitation plan of the 4 main solutions of TANGENT: Data gathering & fusion, Travel behaviour modelling, Tra-c Network prediction & simulation, Optimisation techniques applied to the transport network.
In relation to dissemination, significant emphasis was placed on establishing a strong, recognizable identity of TANGENT and ensuring its comprehensive visibility. This was accomplished by creating the informative video, regularly updating the project’s website and social media channels, participating in European and international conferences and events, and publishing articles in academic and industry journals.
The TANGENT Tool offers three main functionalities for multi-modal transport management:
TANGENT will deliver a set of applications for decision-making support creating a framework for coordinated traffic and transport management:
Monitoring and visualization, is both at the core of the Dashboard and a functionality on its own. Customizable dashboards allow different roles of users to visualize live data in maps, indicators and tables. The dashboard delivers information on the traffic conditions on real-time visualizing on the entire transport network, integrating various modes of transport, road traffic, public transport. The same visualization features are reused for the visualization of forecast data and during planning and incident management stages.
Forecasting, is enabled as an add-on over the monitoring functionality that allows the user to select a prediction horizon for traffic forecasting (from 5 to 60 minutes) for data sources for which forecasts are available. Alongside forecast data, we also include anomaly detection.
Planning and Incident Management, is the third layer of functionality and allows the preparation of Response Plans for later Incident Management of live situations. Different types of plans exist to cover different types of Incidents to be managed. This functionality allows the transport agents to manage transport network in a cooperative manner for restoring the transport network in the light of events. This functionality also gives the option to simulate WHAT-IF scenarios for planning future innovations in transport in the city.
These functionalities are nurtured by the research done in Data Gathering, Harmonisation & Fusion, Travel Behaviour Modelling, Transport Prediction & Simulation and Transport Network Optimization.
The exploitation plan has been performed through the identification and characterization of the key exploitable results, a market analysis, the production of business models for the overall TANGENT tool and for each case study, the next steps after the project with different time horizons.
These actions allowed to identify 13 individual Key Exploitable Results and the exploitation plan of the 4 main solutions of TANGENT: Data gathering & fusion, Travel behaviour modelling, Tra-c Network prediction & simulation, Optimisation techniques applied to the transport network.
In relation to dissemination, significant emphasis was placed on establishing a strong, recognizable identity of TANGENT and ensuring its comprehensive visibility. This was accomplished by creating the informative video, regularly updating the project’s website and social media channels, participating in European and international conferences and events, and publishing articles in academic and industry journals.
TANGENT will address several advances beyond the State of the Art in the following areas:
(i) The travel behavior module developed within TANGENT aims to provide a comprehensive, data-driven modelling tool to quantitatively analyze when, where, why, how, and by what means people travel. Through a hybrid approach that combines econometric methods with machine learning, the models draw on diverse datasets—ranging from established stated-preference surveys to precise smartphone tracking data—to forecast future travel demand under various scenarios and provide actionable insights on how different demographic groups respond to incentives, disincentives, or changes in transportation infrastructure.
(ii) Transport Prediction & Simulation, enhanced solutions are developed for proactive real-time multimodal traffic management under recurrent and non-recurrent situations. The solutions combine data-driven and simulation-based approaches and aim to facilitate decision-making in traffic management with more accurate real-time situational awareness, prediction of the traffic conditions and detection incidents (non-recurrent situations) as well as the design and evaluation of adequate strategies to improve the transport network performance, reliability and resilience.
Transport network optimization has made significant progress beyond the state of the art by developing efficient and effective model-based optimization modules for key transport challenges, including synchronization of public transport and traffic control, dynamic congestion pricing, signal-vehicle coupled control, and the integration of demand-responsive transport with public transport. These advancements leverage state-of-the-art algorithms and efficient integration to address complex network inefficiencies. By the end of the project, TNO delivered a fully scalable, interoperable optimization framework integrated into the TANGENT platform, enabling adaptive and sustainable traffic management. The potential impacts include reduced congestion, improved public transport reliability, and enhanced user satisfaction. Socio-economically, these innovations promise lower travel costs, increased productivity, and reduced emissions, aligning with broader societal goals of sustainability and urban liveability.
These technologies have been integrated for delivering the TANGENT tools for monitoring and visualisation of transport status, forecasting of traffic congestion and transport operations planning in the light of events.
The impact of the tool has been assessed with the following KPIs:
Travel time has been reduced over 10%, reaching a reduction of more than 25% in some case studies, traffic flows have improved over 20%, CO2 emissions have decreased around 5-20% depending on the case study.
(i) The travel behavior module developed within TANGENT aims to provide a comprehensive, data-driven modelling tool to quantitatively analyze when, where, why, how, and by what means people travel. Through a hybrid approach that combines econometric methods with machine learning, the models draw on diverse datasets—ranging from established stated-preference surveys to precise smartphone tracking data—to forecast future travel demand under various scenarios and provide actionable insights on how different demographic groups respond to incentives, disincentives, or changes in transportation infrastructure.
(ii) Transport Prediction & Simulation, enhanced solutions are developed for proactive real-time multimodal traffic management under recurrent and non-recurrent situations. The solutions combine data-driven and simulation-based approaches and aim to facilitate decision-making in traffic management with more accurate real-time situational awareness, prediction of the traffic conditions and detection incidents (non-recurrent situations) as well as the design and evaluation of adequate strategies to improve the transport network performance, reliability and resilience.
Transport network optimization has made significant progress beyond the state of the art by developing efficient and effective model-based optimization modules for key transport challenges, including synchronization of public transport and traffic control, dynamic congestion pricing, signal-vehicle coupled control, and the integration of demand-responsive transport with public transport. These advancements leverage state-of-the-art algorithms and efficient integration to address complex network inefficiencies. By the end of the project, TNO delivered a fully scalable, interoperable optimization framework integrated into the TANGENT platform, enabling adaptive and sustainable traffic management. The potential impacts include reduced congestion, improved public transport reliability, and enhanced user satisfaction. Socio-economically, these innovations promise lower travel costs, increased productivity, and reduced emissions, aligning with broader societal goals of sustainability and urban liveability.
These technologies have been integrated for delivering the TANGENT tools for monitoring and visualisation of transport status, forecasting of traffic congestion and transport operations planning in the light of events.
The impact of the tool has been assessed with the following KPIs:
Travel time has been reduced over 10%, reaching a reduction of more than 25% in some case studies, traffic flows have improved over 20%, CO2 emissions have decreased around 5-20% depending on the case study.