AVENUE is a research project part of AI4Cities, a three-year EU-funded program that brought together leading European cities looking for artificial intelligence (AI) solutions to accelerate carbon neutrality. Nommon and Populus joined forces to present AVENUE, a proposal in response to the mobility challenge.
AVENUE aims to develop an AI-based decision support tool that allows the monitoring and assessment of the carbon footprint impact of different shared mobility regulatory frameworks and policy strategies. The proposed solution exploits the information provided by two existing solutions for collecting and leveraging geolocated big data: Populus’ Mobility Manager, which enables cities to gather, aggregate and analyse the data that mobility operators share with authorities to manage the enforcement of regulatory measures, and Nommon’s Mobility Analytics Solution, which processes the registers from mobile network data and other geolocated sources to provide actionable insights about people’s activity and mobility patterns. The combination of this information with other data sources available by cities will be used to develop demand prediction models capable of simulating the modal choice process around shared mobility services and the way these modal choices can be influenced by different regulatory strategies.
The outcome of these models will serve to evaluate the carbon footprint effects of different possible measures. The outputs will be provided via an API service, in order to add new indicators to the ones provided by Populus’s Mobility Manager when enforcing a given regulation or to interact with other tools used by cities.
AVENUE will also develop an interactive visualisation tool that will facilitate long-term decision-making processes about the implementation of smart mobility systems from a climate change mitigation perspective.
It is expected that the functionalities of the tool developed by Nommon and Populus and the results of the project will contribute to provide other benefits related to different areas of sustainability beyond the reduction of GHG emissions. For example, policies that address the carbon footprint of shared mobility services are likely to have a positive impact on other environmental aspects, such as energy consumption and air quality. Furthermore, a better understanding of the patterns of choice of transport modes will open the door to more detailed analysis on the social sustainability of smart mobility, taking into account the influence of age, gender or income on use and accessibility of these modes, and the effects on the most vulnerable users. Finally, AVENUE will contribute to improving transport planning by optimising the resources used by the authorities for this purpose, facilitating collaboration between shared mobility and public transport and reinforcing the latter’s role as the backbone of urban mobility.
Phase 1: Solution Design
Nommon and Populus worked together in the AI4Cities’s Solution Design Phase. Both companies worked for three months on the design of the AVENUE solution, analysing the cities’ needs related to GHG emissions and shared mobility, and evaluated the different data sources available to feed the solution’s model.
Phase 2: Prototyping
AVENUE was selected to move forward to AI4Cities’ phase 2 to create the first prototype of the solution proposed in Phase 1. Nommon and Populus’ teams continued working on the development of the prototype until January 2022.
Phase 3: Testing
AVENUE was selected to proceed to Phase 3, the last phase of the project. In this stage, the solution will be piloted and tested in real conditions by end users in two of the participant cities: Stavanger and Tallinn. This opportunity will allow the consortium to refine the current functionalities of the tool and add new ones to enable cities to more efficiently plan and manage shared mobility systems. In addition to the reduction of emissions indicators, the consortium will work on the development of use cases that allow, for example, the location of mobility hubs, the expansion of the transport system, or the optimisation of no-parking zones.