Research Projects      Network and traffic management

DIT4TraM

TRANSPORT
ARTIFICIAL INTELLIGENCE
BIG DATA
Distributed Intelligence and Technology for Traffic and Mobility Management

Can we apply the “swarm intelligence” of starlings to traffic and transport?

Our road authorities use centralized mobility management to control and correct the traffic flows but the DIT4TraM research project asks, “Can we learn from the starlings and stop regulating centrally and top-down, and instead start regulating locally and bottom-up?”

The DIT4TraM project, Distributed Intelligence and Technology for Traffic and Mobility Management, is focusing on individual travelers, connected cars, smart bicycles, and intelligent traffic control systems. The team is exploring how we can get these agents to communicate and interact locally in such a way that they automatically contribute to the greater goal of a smooth and safe traffic flow.

Project Objective

The overarching aim of DIT4TraM is to develop, implement and test a generic distributed control paradigm, applicable at the level of traffic operations, mobility management, demand-supply synchronisation and shared mobility, including advanced monitoring, estimation and (machine learning) forecasting technology, and associated algorithms for a variety of novel multi-modal management and mobility concepts operating at all urban scales. 

A holistic approach to decentralisation, distribution and mechanism design for monitoring and control is proposed, aiming to achieve social optimality, yet with only necessary information exchanges, which is further translated into four key application fields corresponding to four interlaced urban scales carefully selected to ensure that all relevant challenges are tackled.

Pilots in several cities across Europe are testing the DIT4TraM concept, assessing market potential and designing business models. Our vision is to support the transition to seamless and sustainable connected and autonomous mobility by disentangling the system components to the highest extent possible, yet ensuring sufficient cooperation and emergent coordination by smart system design, leading to liveability, safety, resilience, efficiency, as well as privacy, participation, fairness and sustainability on a city scale.

 

Aimsun’s Role

Aimsun’s role in DIT4TraM is to facilitate the integration of our supply (network, traffic) modelling toolkit with external modules that are responsible for mobility, network and traffic management using decentralized, distributed, cooperative and negotiation-based control paradigms.
 
Existing Aimsun APIs will be applied and extended to enable the configuration, application and evaluation of disparate uses-cases for i) incentive-based co-operative and connected traffic management and ii) co-operative multi-class distributed traffic management in urban and interurban settings.
 
Our simulation platform will be applied, along with external components, for the evaluation of virtual (simulation-based) demonstrations of new mobility and traffic management strategies under various typical and extreme conditions for three cases:
i) Bordeaux, France (intersection level),
ii) Athens, Greece (city level), and,
iii) the interurban AP-7 corridor of the Mediterranean Highway in Barcelona, Spain (regional level).

 

 

Consortium

The DIT4TraM partnership of four universities, five industry partners, two RTOs, and three stakeholders, has been formed to address the combination of technical, organisational, and implementation challenges to develop and successfully test the proposed solution.

Coordinator: Technische Universiteit Delft

Related Research Projects

SETA

An open, sustainable, ubiquitous data and service ecosystem for efficient, effective, safe, resilient mobility in metropolitan areas

Learn more »
  • Got a question? Get in touch.

    We are here to help!

SHARE